Machine Learning

AI-Driven Cyber Threats Create Unprecedented Risk, Survey Reveals CEO-CISO Divide A new survey from AXIS Capital Holdings Limited reveals that artificial intelligence is creating an unprecedented and complex cyber risk landscape. The research, which polled 500 CEOs and Chief Information Security Officers (CISOs) in the U.S. and U.K., uncovered a significant gap in how these leaders perceive AI’s risks and rewards. While AI offers transformative potential for business efficiency and innovation, it also arms cybercriminals with sophisticated tools, making threats faster and harder to detect. These emerging AI-driven threats include shadow AI, model manipulation, deepfakes, and advanced ransomware, highlighting the urgent need for businesses to evolve their cyber readiness strategies. ...

NVIDIA & Eli Lilly Launch $1B AI Drug Discovery Venture to Revolutionize Medicine In a landmark move for the biopharmaceutical industry, NVIDIA and Eli Lilly have announced a joint AI drug discovery lab, backed by a planned investment of up to $1 billion over five years. This collaboration aims to transform key aspects of drug development into a precise engineering discipline. By leveraging high-performance computing and specialized AI agents, the partnership will accelerate research and development. The initiative will operate on a ‘scientist in the loop’ model, where advanced AI supports and enhances the work of human researchers, marking a significant milestone for AI’s role in medicine. ...

Why Automotive Executives Are Pivoting to Humanoid Robotics A significant trend is emerging as top executives from the automotive industry transition into the field of embodied intelligence and humanoid robotics. This migration of talent brings invaluable experience in mass production, system integration, and resource mobilization to the burgeoning robotics sector. Startups led by former auto executives are attracting major investment. For instance, AI² Robotics, founded by a former XPENG chief scientist, has achieved unicorn status with a valuation exceeding $1 billion. Similarly, Zhijian Power, founded by former Li Auto executives, secured $50 million in an angel funding round. This convergence is fueled by the technological overlap between smart cars—often called “wheeled robots”—and humanoid robots. Major automakers are also investing heavily, with Tesla targeting mass production of its Optimus robot by late 2026 and XPENG planning to volume-produce its IRON robot in the same year. ...

Global AI Spending to Reach $2.5 Trillion in 2026, Gartner Predicts According to a new forecast from Gartner, Inc., worldwide spending on artificial intelligence is projected to hit $2.52 trillion in 2026, a significant 44% increase from the previous year. The report identifies the build-out of AI foundations as a primary driver for this growth, with AI-optimized servers accounting for 17% of the total and AI infrastructure expected to contribute an additional $401 billion. ...

Google’s Gemini Outpaces ChatGPT in Desktop User Growth Venture capital firm Andreessen Horowitz partners predict a highly competitive AI landscape for 2026, noting that Google’s Gemini is experiencing faster growth in desktop users compared to OpenAI’s ChatGPT. While ChatGPT still maintains a dominant position with a larger user base, Gemini has reportedly reached 35% of ChatGPT’s web scale and 40% on mobile devices. The deep integration with Google’s extensive ecosystem and its advanced video and image capabilities are considered key potential advantages for Gemini in the coming year. ...

AI Model ‘SleepFM’ Predicts Future Disease Risk from a Single Night’s Sleep Researchers have developed a groundbreaking artificial intelligence foundation model, named SleepFM, that can predict the future risk of various diseases by analyzing data from a single night’s sleep. A study published in Nature Medicine details how the model was trained on over 585,000 hours of polysomnography (PSG) data from approximately 65,000 individuals. SleepFM has demonstrated a remarkable ability to predict the risk of numerous conditions—including dementia, heart failure, chronic kidney disease, and mortality—years before a clinical diagnosis might occur. The model analyzes complex physiological signals captured during sleep to identify patterns indicative of a predisposition to future health issues. This innovative approach could serve as a powerful early warning system, enabling proactive healthcare and early disease detection. ...

Northeastern’s RHYTHM AI Predicts Human Movement with LLMs Researchers at Northeastern University have engineered an AI tool called RHYTHM that utilizes large language models (LLMs) to predict human movement. This innovative tool can forecast an individual’s location from 30 minutes to 25 hours in the future. Built on open-source mobility data, the model leverages the contextual understanding of LLMs to generate predictions based on recurring daily, weekly, or monthly patterns. Potential applications for RHYTHM include enhancing transportation and traffic planning. In critical scenarios, the tool could be deployed to respond to natural disasters and public crises by providing accurate predictions of population movements. ...

Tech News Digest: AI Integration, Autonomous Ag-Bots, and Quantum Leaps AI in 2025: From Research Labs to Real-World Integration The year 2025 has been a pivotal year for artificial intelligence, as advancements transitioned from research labs into practical, everyday applications. Key developments this month include Google’s updated AI subscription tiers, which offer enhanced access to Gemini 3 Pro, and the release of LiteRT, a library designed for running AI models on smaller devices like microcontrollers. ...

Unitree G1 Humanoid Robots Showcase Agility in Onstage Concert Performance In a stunning display of robotic agility, six Unitree G1 humanoid robots from Hangzhou-based Unitree Robotics performed as backup dancers at a Wang Leehom concert in Chengdu, China. Dressed in silver sequin outfits, the advanced robots executed complex, synchronized dance routines and a collective backflip, perfectly timed to the music. This AI-powered performance, praised by Tesla CEO Elon Musk, marks a significant milestone in demonstrating the real-world capabilities and commercial potential of humanoid robotics. Industry observers highlight the event as a major leap forward in robotic dynamic balance and power systems. The G1 robot features 3D LiDAR and depth cameras for advanced perception and boasts a wide range of motion with its 23-43 joint motors. ...

AI and Human Collaboration Boosts Self-Driving Lab Performance by 150% Researchers at Argonne National Laboratory and the University of Chicago have developed a new shared control framework for self-driving laboratories, where human scientists and AI collaborate on the discovery process. This innovative approach has already yielded a 150% increase in mix conducting performance for MIECPs over previous methods. In this model, the AI advisor suggests potential actions, but the human researcher makes the final decision. The team’s future goal is to create a tighter feedback loop where the AI can learn directly from human choices, refining its own decision-making models to better mimic expert intuition. ...