September 18, 2025

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Google AI Textbooks, Tesla AI Chips, Elon Musk Plans

The artificial intelligence landscape is rapidly evolving, with new applications emerging across various sectors. In healthcare, an AI model named Delphi-2M is showing promise in predicting a person's risk for over 1,000 diseases, including cancer and heart attacks, up to two decades in advance. This tool, trained on extensive patient data from the UK and Denmark, analyzes medical history and lifestyle factors to forecast future health outcomes, potentially enabling earlier interventions. Meanwhile, the demand for AI is driving significant investment in clean energy, particularly geothermal power, which experts believe could meet a substantial portion of future energy needs for data centers. This surge in interest is also fueling a 'fever' in technology stocks, with Chinese tech stocks listed in Hong Kong seeing a notable increase. In the realm of education, Google researchers have developed 'Learn Your Way,' an AI that transforms textbooks into personalized, interactive lessons, demonstrating improved student retention in tests. For the workforce, WalkMe has launched an AI solution that embeds training directly into applications, offering 'just-in-time' guidance to improve employee performance and reduce errors. Security is also being redefined with an AI-powered 'invisible fence' that monitors user behavior for fraud detection rather than relying on rigid controls. On the hardware front, Elon Musk has detailed Tesla's custom AI chip plans, with production of the AI6 chip set for Samsung's Texas factory, emphasizing a focus on cost-effectiveness and capacity for large AI models needed for vehicles and robots. The U.S. House of Representatives is also actively discussing AI's future, with a hearing focusing on its economic impact and the need for the U.S. to lead in AI standards and ethics. Google is further supporting U.S. AI innovation through significant investments in infrastructure, R&D, and workforce training.

Key Takeaways

  • An AI model called Delphi-2M can predict the risk of over 1,000 diseases, including cancer and heart attacks, up to 20 years in advance by analyzing medical history and lifestyle factors.
  • The increasing energy demands of AI and data centers are driving significant investment in geothermal energy, with projections suggesting it could meet a large percentage of future data center energy needs.
  • Enthusiasm for AI, termed 'AI fever,' is boosting technology stocks, with Chinese tech stocks in Hong Kong experiencing a surge of over 40%.
  • Google has developed an AI tool named 'Learn Your Way' that converts textbooks into personalized, interactive lessons, showing improved learning retention in student trials.
  • WalkMe has introduced an AI-powered solution that embeds training directly into workplace applications, providing real-time guidance to employees.
  • A new AI-driven security approach, an 'invisible fence,' uses behavior monitoring to enhance payment security and detect fraud.
  • Elon Musk confirmed Tesla's AI6 chip will be produced at Samsung's Texas factory, with a focus on cost-effectiveness for AI models used in vehicles and robots.
  • The U.S. House of Representatives held a hearing on the future of AI, emphasizing the need for U.S. leadership in AI standards and ethics.
  • Google is investing heavily across the U.S. to support AI innovation, focusing on infrastructure, research, and workforce development.
  • Experts predict that AI could transform HR and IT, with events like AI Day 2025 focusing on practical strategies for AI agents and automation.

AI predicts future health risks like weather forecasts

Scientists have developed an AI model called Delphi-2M that can predict a person's risk for over 1,000 diseases up to a decade in advance. Similar to how weather forecasts predict rain, this AI analyzes patterns in medical records, lifestyle habits, and diagnoses to estimate disease likelihood. Researchers aim to use this tool to help high-risk patients prevent diseases and assist hospitals in planning for future demand. While still in research, the model shows promise for personalized healthcare and anticipating future health needs.

New AI tool predicts over 1,000 disease risks

Experts have created a new AI tool named Delphi-2M that can forecast an individual's risk for more than 1,000 diseases up to ten years ahead. This AI uses patient history, lifestyle factors, and diagnoses to predict future health outcomes. Developed by researchers from the European Molecular Biology Laboratory, German Cancer Research Centre, and University of Copenhagen, the tool is trained on extensive anonymized patient data. It aims to help doctors identify high-risk patients for early intervention and personalized care.

AI predicts cancer or heart attack risk within 20 years

A new artificial intelligence program called Delphi-2M can estimate a person's risk for over 1,000 diseases, including cancer and heart attacks, up to 20 years in advance. Scientists developed the tool using data from 400,000 people in the UK Biobank and 1.9 million patients in Denmark. Doctors could potentially use this AI within five to ten years to identify high-risk individuals and suggest personalized interventions. The tool analyzes medical events and lifestyle factors to forecast disease likelihood, similar to a weather forecast.

AI forecasts disease risks throughout life

A new artificial intelligence model named Delphi-2M can predict a person's likelihood of developing over 1,000 different diseases. Published in Nature, the AI analyzes past medical events and lifestyle factors to forecast future health risks. Researchers believe this technology could help doctors identify potential health issues years in advance, allowing for earlier and more personalized treatment. The model was trained and tested using extensive patient data from the UK and Denmark.

WalkMe launches AI tool for in-app employee training

WalkMe has introduced a new AI-powered solution that embeds training directly into the applications employees use daily. This 'just-in-time' training aims to combat the high rate of information loss from traditional methods. The platform delivers real-time guidance and learning triggered by employee actions, offering compliance reminders or advice during specific tasks. It also uses AI to help HR teams create training content and simulations, making learning more effective and integrated into the workflow.

WalkMe embeds training into apps with new AI solution

WalkMe has launched a new AI-based digital learning solution that embeds training directly into workplace applications. This beta product aims to help users of SAP and non-SAP software avoid mistakes by providing guidance at the moment of need. Unlike traditional training that is often forgotten quickly, WalkMe's tool offers real-time prompts and step-by-step instructions within the apps themselves. The solution is designed to improve onboarding, reinforce skills, and reduce errors by integrating learning into daily workflows.

Google's Learn Your Way AI turns textbooks into custom lessons

Google researchers have developed an AI tool called Learn Your Way that transforms static textbooks into interactive, personalized lessons. The system adapts content to a student's grade level and interests, creating quizzes, audio lessons, and mind maps. In a test with 60 high school students, those using Learn Your Way showed improved retention compared to students using traditional methods. This AI aims to make learning more engaging and effective by tailoring educational materials to individual needs.

AI's invisible fence secures payments with behavior monitoring

A new AI-powered 'invisible fence' theory is redefining payments security by shifting from rigid controls to behavior monitoring. Traditional security methods created friction and were vulnerable to fraud. This new model uses AI and machine learning to analyze user behavior, detect anomalies, and build probabilistic trust, enabling faster and more secure global transactions. It focuses on deterring deviations rather than blocking all access, making it more adaptable to digital commerce.

AI boom drives investment in geothermal energy

The growing demand for energy from AI and data centers is fueling increased investment in geothermal energy. Experts predict geothermal power could meet a significant portion of future clean energy needs, potentially covering up to 64% of data center demand growth by the early 2030s. Advancements in drilling technology and new models, like Rodatherm Energy's closed-loop refrigerant system, are helping to overcome challenges such as high costs and water usage. This surge in interest and investment positions geothermal as a key player in the clean energy transition.

Chinese stocks surge on AI fever

Technology stocks listed in Hong Kong have seen a significant increase, surging over 40% this year. This rise is attributed to investor enthusiasm for artificial intelligence, often referred to as 'AI fever.' The trend indicates strong market interest in companies involved in AI development and applications.

Elon Musk details Tesla's AI chip plans

Elon Musk provided updates on Tesla's custom AI chip roadmap, confirming that Samsung's Texas factory will produce the AI6 chip. He also revealed a debate within Tesla about using High-Bandwidth Memory (HBM) for AI6, suggesting conventional RAM might be more efficient for their specific needs. This approach prioritizes cost-effectiveness and capacity for large AI models. Tesla aims to secure a large supply of these chips for its vehicles and Optimus robots.

AI Day 2025: Experts share AI strategies for HR

Phenom is hosting AI Day 2025, a virtual event focused on artificial intelligence in HR and IT. Industry leaders from companies like IAG and Merck KGaA will share real-world strategies for using AI agents and automation to transform talent acquisition, workforce development, and employee retention. The event will feature live demonstrations, technical deep dives, and discussions on ethical AI implementation. The goal is to help professionals move from being 'AI curious' to 'AI dominant' by providing practical insights and proven frameworks.

US House holds hearing on AI's future

The House Committee on Oversight and Government Reform held a hearing on the future of artificial intelligence, with Subcommittee Chairwoman Nancy Mace emphasizing AI's impact on U.S. economic sectors. She highlighted the global race for AI dominance and the need for the U.S. to lead in developing standards and ethics. The hearing explored AI's current applications in healthcare, transportation, and agriculture, while also acknowledging the uncertainties surrounding future AI advancements like artificial general intelligence.

Google invests in US AI innovation

Google is making significant investments across the United States to support AI-driven innovation and economic growth. These investments focus on technical infrastructure, research and development, and workforce training for an AI-driven economy. Google aims to help the U.S. maintain its global leadership in AI, strengthen cybersecurity, and create new career opportunities. The company is actively engaging with communities nationwide to bring this new era of American innovation to life.

Sources

AI Artificial Intelligence Health Disease Prediction Predictive Analytics Personalized Healthcare Medical Records Lifestyle Factors Early Intervention Training Employee Training Digital Learning In-app Training Workplace Applications Education Personalized Learning Interactive Lessons Textbook Transformation Payments Security Behavior Monitoring Fraud Detection Machine Learning Geothermal Energy Data Centers Clean Energy Investment Stock Market Technology Stocks AI Chips Hardware Robotics HR Technology Talent Acquisition Workforce Development Automation Government Policy Ethics Economic Growth Innovation