• About Tempus
• Learn - a couple of courses to further your knowledge in AI
• AI Jobs - a listing of fresh jobs related to AI
• In Other News - a few interesting developments we're tracking

Tempus AI is a health tech company that uses artificial intelligence to help doctors treat patients more precisely—especially those with cancer, heart disease, or mental health conditions.

Think of it as a super-smart medical assistant that can read tons of data (like DNA tests, X-rays, and medical records) and then give doctors helpful advice about what treatments might work best.

Real-Life Examples:

Finding the Right Cancer Treatment

Imagine a woman with breast cancer. Doctors send her tumor for testing to Tempus. Tempus analyzes her DNA and RNA using AI and discovers she has a rare mutation. The platform then suggests a specific drug that works well for that mutation—even if her doctor didn’t know about it.

Catching Heart Problems Early

Tempus worked with Northwestern Medicine to create an AI tool that looks at ECG (heart test) results. The AI can spot people who may soon develop atrial fibrillation—a serious heart rhythm problem—before symptoms appear.

Helping Patients Understand Their Health

In 2025, Tempus launched a digital assistant called Olivia. It helps patients collect all their health info (like blood pressure, imaging scans, medications), and then uses AI to answer questions like:

“Why am I taking this medication?”
“Can I join any clinical trials?”

It’s like having ChatGPT for your medical records.

Why It Matters

For doctors: They get better tools to treat patients faster and more accurately.

For patients: They get personalized care and feel more in control of their health.

For researchers: They can discover new drugs faster by analyzing Tempus’s massive health database.

Where It Is Used

Hospitals like Cleveland Clinic and Northwestern Medicine

Pharma companies like Pfizer and AstraZeneca (to find new drug targets)

Patients in the U.S., and soon, Japan (through a partnership with SoftBank)

Tempus AI turns big, messy health data into clear, useful answers that save lives.

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For some in the industry, AI filmmaking is already becoming mainstream

“It’s being used by everybody that doesn’t talk about the fact that they’re using it,” Michael Burns, vice chairman of Lionsgate, said at a panel conversation at Runway’s AI Film Festival.

NBC NewsAngela Yang

Sam Altman says Meta tried and failed to poach OpenAI’s talent with $100M offers | TechCrunch

OpenAI CEO Sam Altman said that Meta tried to poach its employees with nine-figure offers, but failed to recruit OpenAI’s best people.

TechCrunchMaxwell Zeff

Samsung, Nvidia are investing $35 million combined in THIS robotics startup. Here’s why | Mint

Samsung and Nvidia are set to invest, $10 million and $25 million respectively, in Skild AI to enhance their presence in consumer robotics space. Part of a $100 million Series B funding round led by SoftBank, this will value Skild at $4.5 billion.

mintJocelyn Fernandes

• About LawZero
• Learn - a couple of courses to further your knowledge in AI
• AI Jobs - a listing of fresh jobs related to AI
• In Other News - a few interesting developments we're tracking

LawZero is a non-profit AI safety research organization focused on developing legal, ethical, and technical frameworks to ensure that artificial intelligence technologies are aligned with human values and social stability. Its mission centers on preventing catastrophic risks posed by advanced AI systems, especially in scenarios where legal systems, regulatory oversight, or traditional institutions may fail to keep pace with rapidly evolving capabilities.

Core Focus Areas

AI Alignment Policy & Governance

LawZero conducts research and advocacy on how governments, institutions, and international bodies can regulate and govern frontier AI systems. This includes:

1. Proposals for binding international treaties on AI use

2. Auditing and compliance frameworks for AI labs

3. Risk classification for AI models (e.g., capability thresholds, dual-use concerns)

Legal Infrastructure for AI Containment

The organization explores how law and code can work together to "contain" AI risks. This includes:

1. Smart legal mechanisms for sandboxing advanced systems

2. Frameworks for civil liability in cases of AI harm

3. Legal accountability when agency is ambiguous (e.g., AI-driven actions with unclear human oversight)

Constitutional AI and AI Rights

LawZero investigates foundational questions about the legal and moral status of artificial intelligences, including:

1. Whether and when sentient AI should receive rights

2. How to encode value alignment legally at the system design level

3. The boundary between control and autonomy in powerful models

Open Research & Institutional Collaboration

LawZero collaborates with academic institutions, international NGOs, and AI labs to publish open research, host workshops, and develop public interest policy tools. It may contribute to:

1. Draft model laws for safe AI deployment

2. Open-source monitoring tools for public oversight

3. Education initiatives on AI ethics for policymakers and technologists

Philosophy and Ethos

LawZero takes its name from a foundational idea: Law precedes control. Before controlling or deploying powerful AI, societies must establish a clear legal and moral grounding—a zeroth law—to guide safe development. The organization emphasizes transparency, accountability, and foresight as central principles in its work.

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Google reportedly plans to cut ties with Scale AI | TechCrunch

Meta’s massive investment in Scale AI may be giving some of the startup’s biggest customers pause. Reuters reports that Google had planned to pay Scale AI $200 million this year but is now planning to cut ties with the startup and is having conversations with its competitors.

TechCrunchAnthony Ha

This Chatbot Tool Pays Users $50 a Month for Their Feedback on AI Models

On Yupp, chatbot users earn cash by saying which of two prompts they prefer—info that has great value to the AI companies running the models.

WIREDReece Rogers

Shaquille O’Neal to pay $1.8 million to settle FTX investor lawsuit

Plaintiffs allege O’Neal helped promote unregistered securities by presenting FTX as a safe and legitimate platform at events and on social media.

NBC NewsMacKenzie Sigalos, CNBC

• How AI is enhancing enterprise resource planning (ERP)
• Learn - a couple of courses to further your knowledge in AI
• AI Jobs - a listing of fresh jobs related to AI
• In Other News - a few interesting developments we're tracking

As businesses face growing pressure to be faster, smarter, and more agile, traditional ERP systems are no longer enough. Artificial Intelligence is a game-changer in modernizing ERP platforms. By embedding AI into core operations, companies gain powerful tools for automation, smarter decision-making, and real-time insights. From forecasting and process optimization to intuitive user experiences, AI is reshaping ERP into a dynamic, intelligent engine for business growth.

1. Predictive Forecasting – Microsoft Dynamics 365 & Coca-Cola Bottling Company

Coca-Cola Bottling Company United modernized its ERP with Microsoft Dynamics 365, integrating AI-powered demand forecasting. AI analyzes sales history, weather patterns, and seasonal trends to predict product demand at individual stores—helping optimize inventory and reduce waste.

2. Intelligent Automation – SAP & Siemens

Siemens uses SAP S/4HANA with AI-driven automation to streamline invoice processing. AI reads invoices, matches them with purchase orders, flags discrepancies, and routes them for approval without human input—reducing processing time by over 50% and minimizing errors.

3. Natural Language Interaction – Oracle Cloud ERP & Lyft

Lyft leverages Oracle Cloud ERP’s AI features, including natural language processing (NLP), to make financial queries faster. Executives can ask questions like “What were our top expenses last quarter?” and get real-time answers, improving decision-making speed.

4. Smart Supply Chain – IBM & Lenovo

Lenovo worked with IBM to enhance its ERP with AI for supply chain optimization. AI algorithms predict component shortages and delivery delays before they happen, allowing Lenovo to reroute shipments or adjust manufacturing schedules—cutting delays and costs significantly.

5. Personalized Dashboards – Infor & Ferrari

Ferrari uses Infor’s AI-enhanced ERP to provide custom dashboards for each department. Engineers see real-time production data, while finance teams track cost metrics—each interface is adapted by AI based on usage behavior, improving productivity and user engagement.

AI doesn't just upgrade ERP systems—it transforms how companies operate, respond to challenges, and create value.

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Nvidia to exclude China from its revenue and profit forecasts | TechCrunch

Nvidia CEO Jensen Huang said he isn’t confident that the U.S. will change its mind on chip export restrictions anytime soon.

TechCrunchRebecca Szkutak

The Meta AI App Lets You ‘Discover’ People’s Bizarrely Personal Chats

Launched in April, the Meta AI platform offers a “discover” feed that includes user queries containing medical, legal, and other seemingly sensitive information.

WIREDKylie Robison

Laura Bates: AI risks dragging women and girls back to dark ages

BBC: World News & Stories

• How AI has enhanced voice interviews in recruting
• Learn - a couple of courses to further your knowledge in AI
• AI Jobs - a listing of fresh jobs related to AI
• In Other News - a few interesting developments we're tracking

AI-enhanced voice interviews are redefining how companies connect with candidates, making the process faster, smarter, and surprisingly insightful. Gone are the days of back-and-forth scheduling, repetitive screening questions, and subjective first impressions. Instead, recruiters are turning to AI tools that analyze tone, word choice, and even speech patterns to uncover key traits like confidence, clarity, and cultural fit. It’s not just innovation for the sake of efficiency—it’s a bold step toward a more strategic, fair, and future-ready approach to hiring.

Automated Interview Scheduling & Execution

AI tools like HireVue allow candidates to complete voice interviews anytime.

Example: A retail company sends automated invitations to 500 applicants, who record answers to standard questions via mobile or desktop—no recruiter needed to be present.

Voice and Speech Pattern Analysis

AI analyzes tone, pitch, pace, and word choice to assess traits like confidence or communication skills.

Example: Curious Thing can flag if a candidate sounds overly nervous or confident, helping assess fit for roles like sales or customer service.

Bias Reduction

Standardized AI assessments reduce human subjectivity and unconscious bias in early screening.

Example: Two candidates with different accents answer the same question. The AI scores them based on content and clarity—not perceived fluency or cultural familiarity.

Scalability

AI can handle thousands of interviews simultaneously, speeding up hiring.

Example: Unilever used AI to screen over 250,000 candidates in multiple countries, reducing time-to-hire by 75%.

Data-Driven Insights

AI generates reports highlighting key themes, sentiment, and potential red flags.

Example: A recruiter receives a dashboard showing which candidates used goal-oriented language or showed strong problem-solving thinking.

AI has significantly enhanced voice interviews in recruiting by streamlining processes, improving candidate evaluation, and reducing bias.

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How Warp is introducing robots to automate its network of warehouses | TechCrunch

Warp can’t automate long-haul trucking or short-range delivery, so it’s working on what it can potentially change: the workflows inside its warehouses.

TechCrunchRebecca Szkutak

Disney and Universal sue AI image company Midjourney for unlicensed use of ‘Star Wars,’ ‘The Simpsons’ and more

It’s the first AI copyright lawsuit from Hollywood giants.

NBC NewsSamantha Subin, CNBC

Tech must enhance judicial functions, not replace human judgment: CJI Gavai

Chief Justice of India B R Gavai addressed the transformative role of technology in enhancing access to justice, particularly in a diverse nation like India, at the University of Cambridge. He cautioned against the digital divide, emphasizing that technology should enhance, not replace, judicial fun…

Economic TimesPTI

• About Pepper
• Learn - a couple of courses to further your knowledge in AI
• AI Jobs - a listing of fresh jobs related to AI
• In Other News - a few interesting developments we're tracking

Pepper is a semi-humanoid social robot developed by Aldebaran Robotics (now part of United Robotics Group), initially introduced by SoftBank in Japan in June 2014.Designed to interact naturally with humans, Pepper can recognize faces, interpret emotions, and engage in conversations, making it suitable for various customer-facing roles.

Key Features

• Emotion Recognition - Pepper uses facial recognition and voice tone analysis to detect human emotions, allowing it to adapt its interactions accordingly.
• Speech and Hearing - Equipped with four directional microphones, Pepper can identify the source of sounds and engage in natural conversations.
• Touchscreen Interface - A 10.1-inch touchscreen on its chest displays information and facilitates user interaction.
• Mobility - Pepper moves at speeds up to 3 km/h and can navigate environments using sensors like lasers and sonars.
• Sensors and Cameras - It features two HD cameras, a 3D depth sensor, gyroscopes, and touch sensors to perceive its surroundings and interact safely.

Applications

• Retail and Hospitality - Pepper serves as a greeter and information assistant in stores, banks, and airports, enhancing customer experience.
• Education - In classrooms, Pepper assists in teaching programming and social-emotional skills, engaging students through interactive lessons.
• Healthcare - Pepper has been utilized in care homes to provide companionship and monitor the well-being of elderly residents.

Technical Specifications

• Height: 1.2 meters
• Weight: 28 kg
• Operating System: NAOqi OS
• Battery Life: Approximately 12 hours
• Connectivity: Wi-Fi (2.4GHz/5GHz) and Ethernet
• Degrees of Freedom: 20 motors enabling expressive gestures

Research and Development

Pepper continues to be a platform for research in human-robot interaction. Enhancements like integrating NVIDIA Jetson GPUs and advanced cameras have been proposed to improve its perception and interaction capabilities.

Market Presence

Despite initial enthusiasm, Pepper faced challenges in widespread adoption. Production was paused in June 2021 due to limited demand, with approximately 27,000 units manufactured by that time.

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Palantir CEO Karp says AI is dangerous and ‘either we win or China will win’

In a recent letter to shareholders, Alex Karp also touted Palantir’s commitment to equipping and enhancing U.S. defense interests.

NBC NewsSamantha Subin, CNBC

Perplexity’s CEO Sees AI Agents as the Next Web Battleground

Aravind Srinivas says agents need access to apps and claims that letting OpenAI take control of Chrome would be a disaster for the open Web.

WIREDWill Knight

Meta reportedly in talks to invest billions of dollars in Scale AI | TechCrunch

Meta is discussing a multi-billion dollar investment in Scale AI, according to Bloomberg. In fact, the deal value could reportedly exceed $10 billion, making it the largest external AI investment for the Facebook parent company and one of the largest funding events ever for a private company.

TechCrunchAnthony Ha

• How AI is helping in crime survivor recovery and advocacy
• Learn - a couple of courses to further your knowledge in AI
• AI Jobs - a listing of fresh jobs related to AI
• In Other News - a few interesting developments we're tracking

Artificial Intelligence (AI) is reshaping how we support crime survivors by bringing speed, empathy, and precision to a system often weighed down by delays and complexity. From 24/7 chatbots offering emotional support to tools that flag high-risk cases early, AI is transforming survivor advocacy. By improving mental health care, legal aid, and access to resources, it offers new hope for survivors on the path to recovery.

Emotional and Psychological Support

Example: Woebot

How it works: Woebot is an AI-powered mental health chatbot that talks with users and uses cognitive-behavioral techniques to reduce anxiety and depression.

Use for survivors: A survivor of domestic violence feels isolated or afraid to talk to someone directly. Woebot offers them a private, judgment-free way to process their emotions any time of day.

Access to Resources

Example: iCan (Internet Crimes Against Children) Resource Navigator

How it works: Uses AI to guide users to local support services, legal information, and emergency contacts based on their location and needs.

Use for survivors: A human trafficking survivor can use iCan to find emergency housing, legal counsel, and trauma counselors without needing to know where to start or whom to call.

Case Management and Legal Advocacy

Example: LegalRobot

How it works: Analyzes legal documents and simplifies language so survivors can understand what they’re signing or reading.

Use for survivors: A sexual assault survivor trying to get a restraining order might be overwhelmed by legal jargon. LegalRobot can explain the form in plain language, helping them take action with confidence.

Predictive Analytics and Risk Assessment

Example: Domestic Violence High Risk Team (DVHRT) tools

How it works: Uses AI to analyze past police reports and survivor statements to flag high-risk cases of repeat domestic violence.

Use for survivors: Law enforcement and advocacy groups are alerted early, increasing the chance of protective interventions like removing the abuser from the home or providing police protection.

AI empowers both survivors and support networks, creating faster, fairer, and more compassionate pathways to healing and justice.

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Diabetes management: IBM and Roche use AI to forecast blood sugar levels

IBM and Roche are teaming up on an AI solution to a challenge faced by millions worldwide: the relentless daily grind of diabetes management.

AI NewsRyan Daws

Arizona Supreme Court turns to AI-generated ‘reporters’ to deliver news

Communications Director Alberto Rodriguez said he’s not worried about them taking his job: “We still have to work with the bench to make sure that we’re getting accurate information.”

NBC NewsKevin Nious and Gadi Schwartz

AI stirs up the recipe for concrete in MIT study

A new artificial intelligence framework has identified cement alternatives to enhance concrete environmental and cost performance. The work was led by Soroush Mahjoubi, a postdoc in the MIT Concrete Sustainability Hub and Olivetti Group.

MIT News | Massachusetts Institute of TechnologyAndrew Paul Laurent | MIT Concrete Sustainability Hub

• About Informatica
• Learn - a couple of courses to further your knowledge in AI
• AI Jobs - a listing of fresh jobs related to AI
• In Other News - a few interesting developments we're tracking

Informatica is the powerhouse behind how smart businesses turn messy data into meaningful insights. Whether it’s tucked away on-premises or floating in the cloud, Informatica helps organizations access, clean, and connect vast amounts of data—transforming it into a goldmine for analytics, regulatory compliance, customer understanding, and digital innovation.

🏦 Banking: Personalized Customer Service

Real-life example: A bank wants to offer personalized loan offers to customers.

Before Informatica: Customer data is scattered across branches, mobile apps, and websites. Some records are duplicated or outdated.

With Informatica: The bank uses Informatica to integrate all customer data into one place, clean it (remove duplicates, fix errors), and understand each customer better. Now, they can send personalized loan offers to the right people at the right time.

🛒 Retail: Managing Inventory

Real-life example: A retail chain wants to know which products are selling the most and where.

Before Informatica: Sales data is stored in different systems—POS systems in stores, online website orders, and supplier data. It’s hard to get a full picture.

With Informatica: The company integrates all this data into a central system. Informatica helps clean and standardize the data so they can analyze which products are hot, where inventory is low, and what needs restocking.

🏥 Healthcare: Ensuring Accurate Patient Records

Real-life example: A hospital wants to have complete and accurate patient history.

Before Informatica: One patient might have records under “Jane Doe,” “J. Doe,” or “Janet Doe” in different departments. This makes it hard for doctors to see the full picture.

With Informatica: The hospital uses master data management to match and merge these into a single profile for Jane. Now doctors see her full history—visits, medications, lab results—in one view.

✈️ Travel: Real-Time Updates

Real-life example: An airline wants to notify passengers quickly about delays or gate changes.

Before Informatica: Information from flight systems, weather services, and airport data isn’t connected in real time.

With Informatica: Real-time data integration allows the airline to instantly combine and act on data—automatically sending a message to passengers if their gate changes or a delay occurs.

Informatica is like the behind-the-scenes organizer that makes messy, scattered data useful and actionable—much like a digital janitor, translator, and connector all rolled into one.

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Trump threatens 25% tariff on Apple, other tech giants if they don’t start making devices in America

It’s the president’s latest salvo directly targeting a U.S. company after he hit out at Walmart and Mattel.

NBC NewsRob Wile

Inside Anthropic’s First Developer Day, Where AI Agents Took Center Stage

Anthropic CEO Dario Amodei said everything human workers do now will eventually be done by AI systems.

WIREDKylie Robison

Rationale engineering generates a compact new tool for gene therapy

Researchers at MIT and the Broad Institute, led by Professor Feng Zhang, redesign a compact RNA-guided enzyme from bacteria, making it an efficient editor of human DNA.

MIT News | Massachusetts Institute of TechnologyJennifer Michalowski | McGovern Institute for Brain Research

• How AI is helping therapists in mental health therapy
• Learn - a couple of courses to further your knowledge in AI
• AI Jobs - a listing of fresh jobs related to AI
• In Other News - a few interesting developments we're tracking

Artificial intelligence (AI) is quietly revolutionizing mental health care, bringing powerful tools to a field long burdened by stigma, shortage of professionals, and rising demand. From detecting early warning signs through social media posts to delivering therapy via digital companions, AI is reshaping how we understand, diagnose, and treat mental health—making support more accessible, personalized, and proactive than ever before.

Early Detection and Diagnosis
AI can analyze text, voice, and behavior patterns to identify mental health conditions early.

Example: Apps like Ellie, a virtual interviewer developed by the USC Institute for Creative Technologies, analyze facial expressions and voice tone to spot signs of PTSD.

AI-Powered Chatbots for Therapy Support
AI chatbots provide cognitive behavioral therapy (CBT) techniques and emotional support.

Example: Woebot, a chatbot created by clinical psychologists, uses CBT principles to engage users in therapeutic conversations. It’s been shown to reduce symptoms of depression and anxiety in users after just a couple of weeks of use.

Personalized Treatment Recommendations
AI can analyze large sets of patient data to suggest customized treatment options.

Example: Platforms like Quartet Health use AI to match patients with the most appropriate mental health care providers and interventions based on their history and symptoms.

Monitoring and Crisis Prediction
AI systems can identify warning signs of a mental health crisis based on real-time data.

Example: Crisis Text Line uses machine learning to prioritize incoming messages from users in immediate risk of self-harm, enabling faster human intervention.

Support for Clinicians
AI helps therapists by analyzing session transcripts, summarizing patient concerns, or identifying emotional trends.

Example: Ginger uses AI to assist its human coaches by tracking user input and flagging when a clinician’s intervention may be necessary, ensuring timely and appropriate care.

AI is helping both patients and clinicians navigate mental health challenges more effectively. While not a replacement for human care, AI complements traditional approaches by making mental health resources more responsive, scalable, and accessible.

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A Swedish company that scans shoes wants to change the way we shop online

Stockholm-based Fibbl’s technology is helping retailers create fast and cheap 3D models of their products.

NBC NewsDavid Ewalt

Carl Pei Thinks the Phone of the Future Will Only Have One App

Nothing’s CEO speaks to WIRED about how he sees the smartphone market playing out in an era of AI, and where he thinks the competition is going wrong.

WIREDDaisuke Takimoto

Nvidia expects to lose billions in revenue due to H20 chip licensing requirements | TechCrunch

Nvidia incurred a $4.5 billion charge due to H20 licensing requirements in Q1 alongside an additional $2.5 billion in lost revenue.

TechCrunchRebecca Szkutak

• How AI is enhancing the efficiency of credit card companies
• Learn - a couple of courses to further your knowledge in AI
• AI Jobs - a listing of fresh jobs related to AI
• In Other News - a few interesting developments we're tracking

Artificial Intelligence has a competitive advantage that’s reshaping the credit card industry from the inside out. From instantly flagging fraudulent transactions to tailoring offers with uncanny precision, AI is helping credit card companies operate smarter, faster, and more profitably. In an era where customer expectations are high and margins are tight, the companies leveraging AI effectively are not just keeping up—they're pulling ahead.

Fraud Detection and Prevention

AI:
AI models analyze massive amounts of transaction data in real-time to detect unusual patterns or behaviors that may indicate fraud.

Example - Mastercard uses AI-powered systems to process over 75 billion transactions annually, flagging suspicious activity in milliseconds. Their Decision Intelligence platform uses machine learning to score the risk level of each transaction, helping reduce false positives and fraud losses.

Credit Risk Assessment

AI:
AI can evaluate creditworthiness more accurately using alternative data (e.g., transaction behavior, spending habits) beyond traditional credit scores.

Example - American Express employs AI to create dynamic credit risk profiles. If a customer’s risk increases, the system can automatically adjust their credit limit or flag them for further review, helping reduce default rates.

Customer Service Automation

AI:
Natural Language Processing (NLP) enables chatbots and virtual assistants to handle routine queries, improving response times and reducing call center loads.

Example - Capital One’s Eno, a virtual assistant, can answer billing questions, alert customers to unusual charges, and help with payments. It processes thousands of interactions daily, saving time and operational costs.

Personalized Offers and Marketing

AI:
AI analyzes customer spending patterns to recommend tailored rewards, card upgrades, or promotional offers.

Example - Chase uses AI to predict what type of rewards (cashback, travel points, etc.) a customer is likely to value, increasing conversion rates and customer loyalty through targeted campaigns.

Operational Efficiency and Automation

AI:
AI automates back-office processes such as claims processing, document verification, and transaction categorization.

Example - CitiBank uses robotic process automation (RPA) to streamline tasks like KYC (Know Your Customer) checks, cutting processing times from days to hours and reducing human error.

AI has significantly enhanced the efficiency of credit card companies by streamlining operations, improving customer experience, reducing fraud, and increasing profitability.

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Nvidia CEO hails Trump’s plan to rescind some export curbs on AI chips to China

Jensen Huang, head of the American chipmaker, said the Biden-era controls were a “failure” that had cost his and other U.S. companies billions of dollars in sales.

NBC NewsMithil Aggarwal

Let’s Talk About ChatGPT and Cheating in the Classroom

Today on “Uncanny Valley,” we address one of the most pressing questions in education right now: What constitutes cheating at school in today’s world of AI?

WIREDLauren Goode

From LLMs to hallucinations, here’s a simple guide to common AI terms | TechCrunch

We thought it would be helpful to put together a glossary with definitions of some of the most important words and phrases that we use in our articles.

TechCrunchNatasha Lomas, Romain Dillet, Kyle Wiggers

• About ServiceNow
• Learn - a couple of courses to further your knowledge in AI
• AI Jobs - a listing of fresh jobs related to AI
• In Other News - a few interesting developments we're tracking

ServiceNow is a powerful cloud-based platform designed to help organizations manage and automate digital workflows across the enterprise. While it originally focused on IT Service Management (ITSM), ServiceNow has evolved into a robust, all-in-one Platform-as-a-Service (PaaS) that now supports a wide range of business functions—including human resources (HR), customer service, security operations, and more.

At its core, ServiceNow provides a unified system for automating, optimizing, and orchestrating service delivery. By streamlining routine processes and reducing manual tasks, it helps organizations improve operational efficiency, enhance user experiences, and drive digital transformation across departments.

IT Service Management (ITSM)

AI Enhancements:

• Predictive Intelligence - Automatically categorizes, prioritizes, and assigns incidents using historical data.
• Virtual Agents - Handle routine IT issues like password resets or access requests.

Example: When a user submits an incident such as “I can’t access email,” AI identifies it as a login issue, marks it as high priority, and assigns it to the correct team without human input.

Customer Service Management (CSM)

AI Enhancements:

• AI Routing - Assigns cases to the most appropriate agent based on history and performance.
• Generative AI - Drafts replies and summaries to help agents respond faster.

Example: A customer complaint about billing is detected by AI, routed to the billing department, and a suggested response is drafted for the agent to send.

HR Service Delivery (HRSD)

AI Enhancements:

• Natural Language Understanding (NLU) - Enables employees to ask HR-related questions in plain language.
• AI-Powered Onboarding - Automates task assignment based on role, department, and location.

Example: A new hire asks about healthcare enrollment. The virtual agent understands the question, retrieves the correct information, and walks the employee through the process.

IT Operations Management (ITOM)

AI Enhancements:

• Anomaly Detection - Identifies abnormal system behaviors before outages occur.
• Predictive AIOps - Forecasts performance issues and suggests preventive actions.

Example: AI detects a memory leak in a server, alerts the team, and helps avoid a crash before users are impacted.

IT Business Management (ITBM)

AI Enhancements:

• Demand Forecasting - Predicts future resource needs.
• Smart Prioritization - Recommends which projects to prioritize based on capacity and impact.

Example: A new project is submitted, but AI recommends postponement due to current resource constraints and competing priorities.

AI's integration across ServiceNow’s modules transforms how work gets done, allowing organizations to become more proactive, agile, and user-focused.

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Android 16 Is Getting a Facelift, and Gemini Is Rolling Onto More Google Platforms

Google teased all the new features coming to its mobile operating system ahead of next week’s I/O conference.

WIREDJulian Chokkattu

Grok says it’s ‘skeptical’ about Holocaust death toll, then blames ‘programming error’ | TechCrunch

Grok, the AI-powered chatbot created by xAI and widely deployed across its new corporate sibling X, wasn’t just obsessed with white genocide this week. As

TechCrunchAnthony Ha

With AI, researchers predict the location of virtually any protein within a human cell

A new machine learning method can automatically predict the location of a protein in any human cell line down to the single-cell level, given a relevant amino acid sequence. This advance could help clinicians identify certain diseases, streamline the process of drug discovery, and give biologists ne…

MIT News | Massachusetts Institute of TechnologyAdam Zewe | MIT News

• How AI has enhanced Ed-Tech
• Learn - a couple of courses to further your knowledge in AI
• AI Jobs - a listing of fresh jobs related to AI
• In Other News - a few interesting developments we're tracking

Imagine a classroom where every student gets a personalized tutor, instant feedback, and learning materials tailored just for them—available anytime, anywhere. Artificial Intelligence (AI) is transforming education through cutting-edge edtech. AI is not just improving how we learn—it’s redefining it. From smart tutors that adapt in real time to tools that break down language and accessibility barriers, AI is making education more personalized, efficient, and inclusive than ever before. As edtech companies harness this technology, they’re creating smarter solutions that empower both teachers and learners, shaping the future of education in remarkable ways.

Personalized Learning – Khan Academy (Khanmigo)

AI:
Khan Academy introduced Khanmigo, an AI-powered tutor built on GPT-4. It simulates a human tutor, helps students work through problems, and adapts responses based on a student’s level of understanding.

Example:
If a student struggles with algebra, Khanmigo won’t just give the answer—it will guide them step-by-step with hints, explanations, and scaffolding based on their previous mistakes.

Automated Content Creation – Quizlet

AI:
Quizlet uses AI to generate flashcards, practice tests, and explanations from textbooks or user-uploaded notes.

Example:
A student uploads a biology chapter, and Quizlet’s AI instantly generates multiple-choice questions and key terms to study. This saves time and ensures targeted revision.

Real-Time Problem Solving – Photomath

AI:
Photomath uses computer vision and machine learning to let students take pictures of math problems and get step-by-step solutions.

Example:
A student stuck on a calculus integral can snap a photo, and Photomath shows them not just the answer but the logic behind it, helping them learn—not just copy.

Virtual Teaching Assistants – Duolingo

AI:
Duolingo uses natural language processing (NLP) and AI to provide smart language tutoring, including speaking and writing exercises evaluated in real time.

Example:
If you're learning French, Duolingo’s AI will correct your pronunciation, grammar, and sentence structure instantly, mimicking a human language tutor at scale.

Scalable Support – Century Tech

AI:
Century Tech, used in UK schools, combines learning science and AI to give teachers real-time dashboards showing student progress, gaps, and strengths.

Example:
A teacher managing 100+ students can quickly see which learners are falling behind in grammar or math and assign AI-recommended resources, without spending hours analyzing performance manually.

AI has allowed edtech companies to innovate faster, serve more users efficiently, and compete in global markets.

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With AI Mode, Google Search Is About to Get Even Chattier

Google’s new chatbot-style AI Mode search experience, previously an experiment, is launching for US users. Publishers and marketers will have to adjust their search strategies once again.

WIREDReece Rogers

Google commits $150M to develop AI glasses with Warby Parker | TechCrunch

Google is committing up to $150 million in Warby Parker to develop smart glasses powered by Gemini, and is investing in the eyewear company.

TechCrunchMaxwell Zeff

AI poses a bigger threat to women’s work than men’s, report says

Human involvement will still be required for many tasks — and roles are more likely to be radically changed rather than eliminated, the report said.

NBC NewsReuters

• About Salesforce
• Learn - a couple of courses to further your knowledge in AI
• AI Jobs - a listing of fresh jobs related to AI
• In Other News - a few interesting developments we're tracking

In today’s fast-paced world, businesses need smart systems, not just tools. Salesforce’s AI engine, Einstein, delivers just that—powering smarter sales, targeted marketing, and personalized customer service. From predicting deal closures to automating support and messaging, AI is now the standard.

Sales Predictions and Forecasting

Feature: Einstein Forecasting
Impact: Uses historical data and AI models to provide accurate sales forecasts.

Example:
A regional sales manager at a software company uses Einstein Forecasting to predict which deals are likely to close. The tool highlights that certain industries (e.g., finance) have higher close rates, enabling the manager to prioritize those leads.

Lead Scoring and Prioritization

Feature: Einstein Lead Scoring
Impact: Assigns a predictive score to leads based on likelihood to convert, helping sales teams focus on high-quality prospects.

Example:
A B2B company selling enterprise software sees thousands of inbound leads monthly. Einstein ranks leads based on past behavior and demographics (e.g., job title, company size), surfacing the top 20% most likely to convert.

Customer Service Automation

Feature: Einstein Bots
Impact: Automates responses to common service queries and integrates with human agents when needed.

Example:
A telecom company uses Einstein Bots to resolve account balance inquiries, password resets, and plan changes without agent involvement, reducing support costs and wait times.

Personalized Marketing

Feature: Einstein Recommendations & Einstein Engagement Scoring
Impact: Tailors marketing content and send times based on user behavior and preferences.

Example:
An e-commerce business uses Einstein to send personalized product recommendations and optimal-time emails, increasing click-through rates and conversions.

Opportunity Insights

Feature: Einstein Opportunity Scoring
Impact: Provides likelihood of opportunity conversion based on past sales behavior and deal attributes.

Example:
Einstein alerts a rep that a deal is at risk due to lack of recent communication and slow progress through the pipeline, prompting timely follow-up.

Salesforce’s $60B+ investment in 60+ acquisitions has strategically expanded its platform, integrating tools like Slack, MuleSoft, and Tableau to deliver a powerful, unified ecosystem.

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Apple developing custom chips for smart glasses and more

Apple is developing custom and separate chips—Nevis for smartwatches and Glennie for AirPods—with a planned release around 2027.

AI NewsMuhammad Zulhusni

Trump fires Copyright Office director after report raises questions about AI training | TechCrunch

President Donald Trump has fired Shira Perlmutter, who leads the U.S. Copyright Office. The firing was reported by CBS News and Politico, and seemingly

TechCrunchAnthony Ha

Amazon Has Made a Robot With a Sense of Touch

Vulcan, a robot with tactile senses, is a step toward automating more of picking and stowing work done by humans inside Amazon’s fulfillment centers.

WIREDWill Knight

• How AI helps in smart power grids
• Learn - a couple of courses to further your knowledge in AI
• AI Jobs - a listing of fresh jobs related to AI
• In Other News - a few interesting developments we're tracking

Imagine a home that automatically knows when to use solar power, store it, or sell the extra to a neighbor. This is the promise of AI-powered smart grids. As we shift to cleaner energy, the challenge is integrating renewables into a fossil-fuel-based system. AI helps by learning, predicting, and adapting in real time—forecasting weather, balancing grids, and enabling energy sharing—transforming the power grid into a smart, sustainable network.

Smarter Forecasting - Predicting the Unpredictable

Example: Google DeepMind & UK National Grid

AI models crunch mountains of data—weather reports, historical patterns, satellite images—to accurately predict how much solar or wind energy we’ll get hours or even days ahead. DeepMind’s collaboration with the UK’s grid operator boosted demand forecasts by 14%, reducing the need for fossil-fuel backups and saving serious cash.

Why it matters: Better forecasts mean fewer blackouts, lower costs, and more clean energy on the grid.

Grid Control - Balancing Act, Perfected

Example: IBM Watson & Denmark’s Wind Grid

Smart grids powered by AI can juggle energy flow across millions of devices in real time. In Denmark, IBM’s AI helps keep the wind-powered grid running smoothly by managing fluctuations with microsecond precision.

Why it matters: Without this digital brain, too much or too little renewable power can crash the system. AI keeps the balance, even when nature doesn’t.

Battery Brilliance - Smarter Energy Storage

Example: Tesla’s Hornsdale Power Reserve, Australia

AI manages battery farms like a financial portfolio—deciding when to charge, when to discharge, and how to do it without wearing out the battery. In South Australia, Tesla’s AI-driven Powerpack responded to outages in under a second and slashed grid service costs by 90%.

Why it matters: With smart storage, we can keep the lights on even when the sun isn’t shining or the wind isn’t blowing.

Connecting Everything - The Rise of Energy Democracy

Example: LO3 Energy’s Brooklyn Microgrid

In this New York neighborhood, AI helps homes trade energy peer-to-peer—like selling solar power to your neighbor. The system uses AI to manage transactions, predict usage, and keep everything fair and efficient.

Why it matters: Decentralized power gives people more control, reduces transmission loss, and supports energy independence.

AI has significantly enhanced renewable energy integration in smart grids by improving efficiency, reliability, and scalability across various components of the energy ecosystem.

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Singapore’s Vision for AI Safety Bridges the US-China Divide

In a rare moment of global consensus, AI researchers from the US, Europe, and Asia came together in Singapore to form a plan for researching AI risks.

WIREDWill Knight

Microsoft employees are banned from using DeepSeek app, president says | TechCrunch

Microsoft employees aren’t allowed to use DeepSeek due to data security and propaganda concerns, Microsoft Vice Chairman and President Brad Smith said in

TechCrunchCharles Rollet

Researchers secretly infiltrated a popular Reddit forum with AI bots, causing outrage

Reddit is considering legal action after a group of researchers had AI bots pose as real people without users’ knowledge. The researchers say they will no longer publish their study.

NBC NewsAngela Yang

• How non-profits are leveraging AI
• Learn - a couple of courses to further your knowledge in AI
• AI Jobs - a listing of fresh jobs related to AI
• In Other News - a few interesting developments we're tracking

In a world facing urgent challenges like poverty, climate change, and inequality, nonprofits are on the front lines—driven by purpose but often short on resources. Now, AI is transforming how they operate, enabling them to work smarter, respond faster, and extend their reach. From analyzing satellite data to triaging crisis messages and predicting donor behavior, AI is unlocking new insights and efficiencies. This quiet revolution is redefining how social good is delivered—and embracing it is essential for lasting, scalable change.

UNICEF – Project Connect

AI: Uses AI and geospatial data to map schools and assess internet connectivity in real time.

Impact: Helps governments prioritize infrastructure development to bridge the digital divide in education.

The Trevor Project

AI: Uses NLP and machine learning to triage messages from LGBTQ+ youth in crisis.

Impact: Ensures the most at-risk individuals receive immediate help by predicting severity based on text patterns.

Amnesty International

AI: Uses machine learning and satellite imagery to detect human rights abuses (e.g., burned villages in conflict zones).

Impact: Increases the speed and accuracy of documenting violations that would be hard to reach or verify otherwise.

GiveDirectly

AI: Uses satellite imagery and AI to identify impoverished households for direct cash transfers.

Impact: Reduces the need for expensive on-the-ground surveys, making aid distribution faster and more cost-effective.

Benetech

AI: Uses AI to create accessible reading materials for people with visual impairments or learning disabilities.

Impact: Dramatically improves literacy and access to information among underserved groups.

As global challenges grow more complex, the nonprofits that embrace AI will be best positioned not just to keep up, but to lead the way toward lasting social change.

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Hugging Face releases a free Operator-like agentic AI tool | TechCrunch

A team at Hugging Face has released a freely available, cloud-hosted computer-using AI “agent.” But it’s quite sluggish and occasionally makes mistakes.

TechCrunchKyle Wiggers

Meta wins $168 million verdict against spyware company NSO

Meta had already won a December ruling finding that NSO had unlawfully exploited a bug in its messaging service, WhatsApp, to plant spy software on users’ phones.

NBC NewsReuters

Is Elon Musk eyeing number one status in AI race? Check Tesla boss’ latest big artificial intelligence move

Elon Musk’s AI firm xAI has been taking big steps as the competition in the artificial intelligence sector toughens.

Economic TimesGlobal Desk

• About Duolingo
• Learn - a couple of courses to further your knowledge in AI
• AI Jobs - a listing of fresh jobs related to AI
• In Other News - a few interesting developments we're tracking

What happens when AI meets one of the world’s most popular language apps? You get a learning experience that’s not just smart—but brilliantly adaptive. Duolingo has gone far beyond digital flashcards and gamified drills. It’s now an intelligent tutor that understands your mistakes, speaks with you in real conversations, and evolves with every interaction. This isn't just language learning—it's AI-driven, personalized education at scale.

Personalized Learning Paths

What it does:
AI tracks how you perform in lessons—what you get right, where you hesitate, and what you get wrong. It then adjusts your path accordingly.

Example:
If you're consistently struggling with Spanish verb conjugations, Duolingo will prioritize those exercises more often, while reducing repetition of areas you’ve already mastered—like vocabulary.

Smart Mistake Correction

What it does:
Using NLP, Duolingo understands grammar, context, and meaning behind your answers, not just whether they match a model solution.

Example:
If you type “She has a red car” in French as “Elle a une voiture rouge” but mistakenly write “Elle a un voiture rouge,” Duolingo doesn’t just mark it wrong—it explains that “voiture” is feminine, so you need “une.” It also tolerates minor typos and variations in word order when they don’t change meaning.

AI-Powered Speaking Practice

What it does:
With speech recognition, Duolingo analyzes your pronunciation and fluency during speaking exercises.

Example:
When practicing German, you might be asked to say, “Ich möchte einen Kaffee.” The app uses AI to detect if your “ch” in “möchte” is mispronounced and offers tips—or lets it slide if it’s within a native-like variation.

Duolingo Max and GPT-4 Integration

What it does:
In Duolingo Max (a premium tier), GPT-4 provides rich, interactive features.

Examples:

• Explain My Answer: After a wrong answer, you can tap this button and GPT-4 explains why your answer was incorrect using simple, conversational language.
• Roleplay: You might chat with an AI waiter in a French café, practicing how to order food, ask for the check, or respond to common phrases—all in real-time, realistic dialogue.

Content Creation and Scaling

What it does:
AI helps create exercises and translate content quickly and accurately across many languages.

Example:
Instead of having human translators write every exercise from scratch, Duolingo uses AI to generate and adapt lessons—like converting an English lesson about “shopping” into Korean, Portuguese, and Japanese, then refining it with human oversight.

Duolingo is more than a static app—it's an intelligent tutor that adapts, responds, and evolves with the learner.

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Viral AI-made art trends are making artists even more worried about their futures

ChatGPT-generated action figures and Studio Ghibli-inspired illustrations have dominated the internet in recent weeks, reigniting artists’ concerns about their livelihoods.

NBC NewsBruna Horvath

Amazon CEO says 100,000 users now have Alexa+ | TechCrunch

Amazon CEO Andy Jassy said Alexa+, the upgraded digital assistant powered by generative AI, has now rolled out to over 100,000 users.

TechCrunchMaxwell Zeff

The Climate Crisis Threatens Supply Chains. Manufacturers Hope AI Can Help

The Covid-19 pandemic showed just how vulnerable global supply chains are. Climate shocks could pose an even greater risk.

WIREDChris Baraniuk