Artificial Intelligence

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. ...

Tech News Digest: March 4, 2026 ‘Merlin’ AI Revolutionizes Medical Diagnostics with Automated CT Scan Analysis A research team funded by the National Institutes of Health (NIH) has developed a versatile machine learning model named Merlin that analyzes 3D abdominal computed tomography (CT) scans for a wide range of diagnostic tasks. This powerful AI in healthcare is capable of identifying anatomical features and, more significantly, predicting disease onset years in advance. Merlin was trained on a large dataset of patient CT scans linked with radiology reports and medical diagnosis codes from Stanford University. In testing, the general-purpose model surpassed other automated tools specifically designed for the tasks it was evaluated on, signaling a major step forward in streamlining clinical workflows and enabling earlier disease diagnosis. ...

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. ...

AI & Machine Learning: Google’s Nano Banana 2 and Anthropic’s Policy Shift Today’s top stories in AI and Machine Learning include Google DeepMind’s launch of Nano Banana 2, a new image generation model; a significant shift in AI safety policy at Anthropic; and a growing market trend towards the adoption of AI agents, with major implications for the tech industry. Sources: The Motley Fool South Korea Greenlights Autonomous Driving Tech Export to UAE Autonomous A2Z has received the first-ever approval for the export of national core autonomous driving technology from South Korea to the United Arab Emirates. This development is a follow-up to a future industry cooperation agreement signed between the two nations. A2G, a joint venture between Autonomous A2Z and the UAE’s AI and space tech company Space42, will now deploy its Level 4 autonomous vehicle, “ROii,” in the UAE. The partnership aims to expand autonomous vehicle production and AI mobility businesses throughout the Middle East. ...

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. ...

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. ...

Artificial Intelligence & Machine Learning NVIDIA Boosts Robotics and Autonomous Driving with New Open-Source AI Models NVIDIA has released a powerful suite of open-source artificial intelligence models, datasets, and development tools designed to accelerate advancements in robotics and autonomous driving. This release features the Nemotron model family for agentic AI, now with enhanced components for speech recognition and safety, alongside the Cosmos world foundation models for physical AI. These models improve perception and synthetic data generation. A standout component is the Alpamayo family, a vision-language-action model for reasoning-based autonomous driving, enabling vehicles to process and explain complex driving scenarios. Furthermore, NVIDIA introduced Isaac GR00T N1.6, an open vision-language-action model for humanoid robots that seamlessly integrates visual perception with action planning. To bolster development, the company also launched AlpaSim, an open-source simulation framework for rigorously evaluating autonomous vehicle models. ...

Today’s Top Tech Headlines: Robotics, AI, and Cloud Innovations China Establishes National Committee to Fast-Track Humanoid Robot Dominance China is intensifying its development of humanoid robotics by forming a new National Standardization Committee for Humanoid Robots and Embodied Intelligence. This committee, led by industry giants, is tasked with creating standards for foundational technology, components, and safety to accelerate practical deployments. Chinese companies are already showcasing advanced capabilities, with humanoid robots performing for tourists and appearing in shopping malls. This strategic focus on robotics is a key part of China’s plan to address labor shortages and stimulate its economy through technological leadership. Companies like Unitree and UBTech Robotics are at the forefront, with ambitious plans for large-scale production. In a related move, JD.com and Unitree Robotics are launching their first offline experience store in Beijing, allowing consumers to interact with and purchase robots directly. ...

The Physical AI Revolution: Transforming Robotics and Autonomous Vehicles A new wave of Physical AI is transforming the capabilities of robots and autonomous vehicles, marking a significant shift in artificial intelligence. This evolution enables machines to interact with and navigate the real world with greater autonomy. Major tech companies are heavily investing in this area, with Nvidia’s Cosmos platform developing foundational models for robots and autonomous vehicles. Similarly, Waabi Innovation Inc.’s Waabi World is a simulated environment designed to train AI for autonomous trucks on diverse road conditions. The financial commitment to this sector is substantial, with over $6 billion invested in robotics companies in the first seven months of 2025 alone. Nvidia’s Drive Thor platform, set for production in 2025, has already been adopted by major automakers including Mercedes-Benz, Jaguar Land Rover, and Volvo. ...