Robotics

Northwestern’s Evolving Robots Showcase ‘Athletic Intelligence’ and Self-Repair Researchers at Northwestern Engineering have pioneered a new class of modular robots, dubbed “legged metamachines,” that exhibit athletic intelligence and can dynamically adapt to their environment. These robots are built from autonomous, LEGO-like modules, allowing for assembly into numerous configurations. A standout feature is their remarkable ability to recover from damage; for example, if a leg breaks, the remaining parts can continue to function and reconfigure for mobility. The designs were optimized using an AI-driven evolutionary algorithm that simulated natural selection to identify the most efficient and versatile body types for movement. According to the researchers, these are the first robots to be evolved within a computer and then successfully deployed in a real-world outdoor environment. ...

5 Key AI Automation Trends Defining Business for the Next 5 Years Artificial intelligence is becoming essential to daily business operations, with several key trends in AI automation set to define the next five years. A major trend is the shift towards autonomous decision-making systems, where AI manages routine operational choices in areas like retail pricing and financial fraud detection. Another significant development is hyperautomation, which integrates AI with other technologies to automate entire business processes. Intelligent customer experience automation is also advancing, utilizing conversational chatbots and personalized recommendations. The most successful businesses are expected to build collaborative models where humans supervise AI outputs, ensuring both efficiency and accountability. ...

FBI Doubles Down on AI for Investigations and Operations The Federal Bureau of Investigation (FBI) is significantly expanding its use of artificial intelligence in key areas, including criminal investigations, intelligence analysis, and internal operations. According to the Department of Justice’s (DOJ) latest public inventory, the number of AI use cases reported by the FBI has more than doubled to 50. These AI applications encompass machine learning, computer vision, and generative AI, primarily aimed at labor-saving tasks like translation, transcription, and summarization. The 2025 DOJ AI Use Case Inventory reveals a sharp increase in the FBI’s AI tools for law enforcement, jumping from 15 to 27 in just one year, reflecting a broader 30.7% increase in AI adoption across the entire DOJ. ...

UK Announces £1.6 Billion National AI Strategy to Boost Research and Innovation The UK’s primary public research funder, UK Research and Innovation (UKRI), has launched its first national strategy to integrate artificial intelligence into the nation’s science and research sectors. This landmark initiative is backed by a record £1.6 billion in funding for the AI sector, allocated between now and 2030. The strategy is designed to leverage AI for driving innovations across diverse fields, including healthcare, public services, and clean energy. The investment will concentrate on six key areas: advancing AI technology, developing skills and talent, and promoting responsible and trustworthy AI. UKRI-funded AI projects are already demonstrating significant impact, such as a system for detecting faults on the railway network and another that aids in analyzing brain scans for diseases like Alzheimer’s. ...

AI Hardware Crisis: Data Centers Buy Out Western Digital’s 2026 Hard Drive Supply The insatiable demand for AI hardware is causing a significant supply chain crisis. Reports confirm that AI data centers have pre-purchased Western Digital’s entire hard drive production capacity for 2026. This hardware crunch extends beyond storage, with Phison’s CEO warning of an imminent “AI memory crisis” that could bankrupt some consumer electronics companies. The massive storage and memory requirements for training and deploying large-scale AI models are diverting critical components from the enterprise and consumer markets, establishing AI development as the primary driver of the global hardware industry. ...

ZKBoost Protocol Unveiled for Private, Verifiable XGBoost AI Model Training Researchers have introduced ZKBoost, a groundbreaking cryptographic protocol designed to verify XGBoost machine learning model training on sensitive datasets without revealing the underlying data or model parameters. ZKBoost is the first zero-knowledge proof of training (zkPoT) protocol specifically developed for XGBoost, a widely-used algorithm for tabular data. This innovation addresses the critical need for cryptographic guarantees of model integrity in high-stakes applications. The system employs a fixed-point implementation of XGBoost compatible with arithmetic circuits, enabling efficient zero-knowledge proofs. Research indicates this implementation maintains accuracy within 1% of the standard XGBoost, making practical verification on real-world data a reality. ...

OpenAI Unveils Groundbreaking Multimodal AI with Advanced Reasoning OpenAI has revealed a significant advancement in multimodal artificial intelligence with its latest model. This new model can seamlessly process and understand a combination of text, images, audio, and video simultaneously. The key differentiator is its ability to forge logical connections across these diverse data types, achieving a more human-like understanding. Early benchmarks demonstrate a remarkable 40% improvement in multi-step reasoning tasks compared to previous models, showcasing its enhanced capabilities in complex problem-solving. ...

White House Report: AI Drives 1.3% GDP Increase, Projects 20% Productivity Growth A new White House paper, “Artificial Intelligence and the Great Divergence,” identifies AI as a central pillar of the U.S. economic strategy. The report estimates that artificial intelligence contributed to a 1.3% increase in the U.S. GDP during the first half of 2025. Looking ahead, the paper projects that AI could fuel productivity growth ranging from single digits up to 20% within the next decade. The report also highlights a significant surge in AI-related capital investment, with AI data centers and related infrastructure accounting for nearly a quarter of all U.S. investment in 2025. It suggests that nations leading in AI investment and adoption, particularly the United States, are positioned for accelerated economic growth. Furthermore, the paper links future AI leadership to energy resource control, noting that electricity demand from AI data centers could reach 12% of U.S. consumption by 2028. ...

Richtech Robotics & Microsoft Partner to Advance Agentic AI in Real-World Robots Richtech Robotics has announced a collaboration with Microsoft’s AI Co-Innovation Labs to develop and implement agentic artificial intelligence in real-world robotic systems. This joint effort will enhance Richtech’s ADAM robot with adaptive intelligence using Microsoft’s Azure AI. The partnership aims to elevate robots from simple task executors to context-aware, conversational assistants by applying vision, voice, and autonomous reasoning to physical environments. The enhanced ADAM robot will be able to consider factors like time of day, weather, and promotions to better respond to customer needs. It will also use vision-based models to maintain service quality during busy periods and provide operational awareness, such as alerting staff about low inventory levels. ...

Explainable AI (XAI) Gains Traction Amidst Demand for Transparency The demand for transparency in artificial intelligence is driving significant growth in Explainable AI (XAI), a field dedicated to making AI decision-making understandable to humans. As AI systems become more integrated into critical industries, the need to demystify their often “black box” operations is paramount. This push is fueled by regulatory requirements, ethical considerations, and the necessity of building user trust. In high-stakes sectors like healthcare and finance, explaining an AI model’s reasoning is essential for accountability and compliance. Key trends propelling the XAI market include the development of inherently interpretable models and post-hoc techniques that clarify the logic of complex models, with market projections showing substantial growth. ...