Cybersecurity

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. ...

Apple Partners with Google to Power Siri with Gemini AI In a landmark deal, Apple has announced a multi-year collaboration with Google to integrate the powerful Gemini AI models into its Siri voice assistant. This partnership is set to bring a new wave of services and more personalized experiences to Apple’s devices. The core AI foundation will be hosted on Google’s infrastructure, while Apple maintains strict control over user devices and privacy. This strategic move allows Apple to rapidly scale its AI capabilities. The deal provides Google’s Gemini access to Apple’s extensive ecosystem of over 2 billion devices, positioning it as the primary intelligence layer for Siri’s enhanced functionalities. This collaboration relegates OpenAI’s ChatGPT to a more secondary role, handling specific, complex queries on an opt-in basis. ...

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. ...

This edition of the Tech Digest covers major breakthroughs from CES 2026, the future of cybersecurity, new standards in cloud-native AI, and insights from industry leaders. Sumbu Targets Consumer Market with Advanced Exo-S3 Exoskeleton at CES 2026 Sumbu is set to introduce its Exo-S3 series, the first commercially available dual-vector exoskeleton for real-world terrains, at CES 2026. This launch marks a significant move for powered exoskeletons from specialized applications to consumer-ready technology. The Exo-S3 series features Sumbu’s dual-vector power architecture, designed to augment natural motion rather than overpower it, aiming to reduce fatigue and musculoskeletal strain. The system’s planetary gearing, commonly used in electric vehicles for its compactness and efficiency, is a notable feature in wearable robotics. Power is supplied by an automotive-grade energy cell, leveraging EV battery standards for extended range and performance. Sumbu’s strategy reflects a broader trend in wearable robotics toward intelligent assistance and human-centric design. ...

Anthropic Launches Bloom: An Open-Source Framework for AI Model Evaluation Anthropic has launched Bloom, an open-source agentic framework engineered to automate behavioral evaluations of advanced AI models. This innovative tool enables researchers to define a specific behavior and then automatically generate numerous test scenarios to measure its frequency and severity. The primary goal of Bloom is to accelerate the creation of high-quality safety and alignment evaluations, which are often labor-intensive and can quickly become obsolete as AI models advance. Anthropic has already utilized Bloom to build and release benchmark results for four key alignment-relevant behaviors across 16 different frontier models. The framework also integrates with popular tools like Weights and Biases for large-scale experiments and complements Anthropic’s other open-source evaluation tool, Petri. ...

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. ...

OpenAI Warns Future AI Models Pose ‘High’ Cybersecurity Risks OpenAI has issued a stark warning that its upcoming frontier AI models could present ‘High’ level cybersecurity risks. The company stated that these advanced models might be capable of automating the discovery and exploitation of significant cyber vulnerabilities, including the development of functional zero-day exploits. To mitigate these potential threats, OpenAI is implementing a ‘defense-in-depth’ strategy. This includes training its models to refuse harmful requests while remaining useful for defensive and educational purposes. The company is also establishing a Frontier Risk Council, an advisory board of cybersecurity experts, to help manage these advanced AI risks. Furthermore, OpenAI is developing a trusted access program to provide enhanced AI capabilities to qualified cybersecurity professionals for defensive operations. ...

MIT Unveils Dynamic Reasoning Method to Boost LLM Efficiency Researchers at MIT have engineered a more intelligent method for large language models (LLMs) to allocate computational resources during reasoning, significantly increasing their efficiency. This new technique enables LLMs to dynamically adjust the amount of computation used based on the complexity of a given question. This approach marks a departure from common methods that assign a fixed computational budget to every problem, which often wastes resources on simple queries and fails to solve more complex ones. By enhancing the reliability and efficiency of LLMs for complex reasoning, this development could lower the energy consumption of generative AI systems and enable their use in more critical, time-sensitive applications. The research is being presented at the Conference on Neural Information Processing Systems. ...

AWS re:Invent 2025: Autonomous AI Agents, Nova 2 Models, and Trainium 3 Processors At its re:Invent 2025 conference, Amazon Web Services (AWS) announced a suite of new generative AI capabilities, including the introduction of ‘frontier agents’ designed to handle complex, multi-day projects without constant human intervention. These autonomous agents include: Kiro: A virtual developer for Amazon’s coding platform. AWS Security Agent: An agent for testing application vulnerabilities. AWS DevOps Agent: An agent designed to respond to system outages. To support these advancements, AWS launched Amazon Bedrock AgentCore, a platform for building and deploying AI agents at scale, and announced that Strands Agents now support edge devices for use cases in automotive, gaming, and robotics. ...

Kodiak’s Autonomous Trucks Hit Milestone with 100+ Driverless Deliveries in Permian Basin Kodiak Robotics and Atlas Energy Solutions have achieved a major milestone in logistics automation, successfully completing over 100 driverless deliveries of frac sand in the Permian Basin. This operation, utilizing two autonomous Class 8 semi-trucks, represents the first commercial use of a customer-owned fleet of self-driving trucks without a safety driver. The trucks navigate a challenging 21-mile route on private, unpaved oilfield roads, handling conditions like dust storms and heavy equipment traffic. Atlas Energy Solutions has praised the reliable service and ordered 100 more trucks, planning to scale the program in 2025 and 2026 as part of a broader strategy to create a fully automated supply chain. ...