Cybersecurity

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. ...

Anthropic Unveils Claude Opus 4.5, Setting New AI Benchmarks Anthropic has launched Claude Opus 4.5, its most advanced and powerful AI model to date. Now accessible via the Anthropic API and major cloud platforms, Opus 4.5 reportedly establishes a new industry standard for complex tasks, including coding, AI agent development, and multi-step computer operations. The model also demonstrates significantly improved performance in everyday business functions like in-depth research and processing documents such as spreadsheets and presentations. Anthropic is positioning this release for enterprise and engineering teams managing sophisticated projects. Claude Opus 4.5 is available on AWS Bedrock, Google Cloud’s Vertex AI, and Microsoft’s Foundry. ...

Predictive AI in Healthcare: Hospital Adoption Reaches 71% Amidst Disparities A growing number of hospitals are adopting predictive AI technologies, with 71% integrating them into electronic health records in 2024, an increase from 66% in 2023. These machine learning tools are most frequently used to forecast inpatient health trajectories and identify high-risk outpatients. There has also been a significant rise in the use of predictive AI for administrative tasks, with 61% of hospitals using it to automate billing procedures in 2024, up from 36% the previous year. However, a notable adoption gap persists, as large hospitals are significantly more likely to use predictive AI than their small and rural counterparts. For instance, 96% of large hospitals utilized these tools in 2024, compared to just 59% of small hospitals. ...

Leaked Trump Administration Draft Order Aims to Block State AI Laws A leaked draft executive order from a potential Trump administration reveals a plan to preempt states from enacting their own artificial intelligence laws. The proposed order suggests using the withholding of federal funds, including from the Broadband Equity, Access, and Deployment (BEAD) program, as leverage against states that implement “onerous” AI regulations. The document also outlines the creation of a Department of Justice task force to legally challenge state-level AI legislation. This move is widely seen as an attempt to establish a single federal standard for AI, a position President Trump has previously supported on social media. The proposal has drawn sharp criticism from civil society groups, who argue it represents federal overreach and undermines state-level consumer protection efforts. ...

China’s Photonic Quantum Chip Aims for 1,000x Speedup in AI Tasks Researchers in China have unveiled a new photonic quantum chip that promises to accelerate complex calculations by over a thousand times, marking a significant leap for next-generation computing. Developed by Chip Hub for Integrated Photonics Xplore (CHIPX) and Turing Quantum, the chip is claimed to process specific AI tasks 1,000 times faster than high-end Nvidia GPUs. Its design utilizes co-packaging technology for photons and electronics, integrating over 1,000 optical components on a single 6-inch silicon wafer. This allows for dense optical integration and is supported by a pilot production line capable of producing 12,000 wafers annually. ...

Keenon Robotics Deploys Humanoid Service Robot in World-First Smart Hotel Scenario Keenon Robotics has deployed its humanoid service robot, the XMAN-R1, at the Shangri-La Traders Hotel at Shanghai Hongqiao Airport. This deployment establishes what is being called the world’s first smart scenario model demonstrating collaborative operations between general-purpose and special-purpose robots. The XMAN-R1 will serve as a greeter, using natural language and anthropomorphic actions to interact with guests. Meanwhile, other specialized Keenon robots will handle tasks like in-room deliveries, luggage transport, cleaning, and food delivery. This initiative is part of Keenon’s broader strategy to integrate its embodied robot solutions into various industries, with over 100,000 units already deployed in more than 60 countries. ...

NVIDIA & Oracle to Build DOE’s Largest AI Supercomputer with 100,000 Blackwell GPUs NVIDIA and Oracle have announced a collaboration to build the U.S. Department of Energy’s largest AI supercomputer. The project will involve two new systems at Argonne National Laboratory, named Solstice and Equinox. The Solstice system will feature a record-breaking 100,000 NVIDIA Blackwell GPUs, while the Equinox system will include 10,000. Together, these systems are expected to deliver a combined 2,200 exaflops of AI performance. The supercomputers will be used to accelerate scientific discovery and research in areas such as healthcare and materials science. This initiative is part of a broader effort to advance the United States’ leadership in artificial intelligence. ...

Lightning AI Launches PyTorch Copilot to Streamline AI Development Lightning AI has introduced a new suite of tools designed to enhance productivity for PyTorch developers, featuring an AI code editor for its Lightning Studios and Notebooks environments. The company also announced the integration of Meta’s Monarch and Forge frameworks, which aim to simplify distributed AI workloads and reinforcement learning. These updates are part of Lightning AI’s mission to make PyTorch development more accessible. Key features include ‘Lightning Environments,’ which provide scalable, sandboxed environments for all stages of the AI development lifecycle. ...