Software Development

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. ...

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. ...

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. ...

New AI System Enhances At-Home Balance Training for Physical Therapy Researchers at the University of Michigan have developed a new machine learning model to support home-based balance training for physical therapy patients. The system utilizes data from four wearable sensors to predict how a physical therapist would assess a patient’s performance on balance exercises. This AI-driven feedback can help patients make faster progress and maintain their abilities after their formal therapy sessions have concluded. The model was developed by training convolutional neural networks with sensor data and evaluations from physical therapists, achieving nearly 90% accuracy in predicting patient balance ratings. The technology aims to make balance training more accessible, particularly for those in rural areas, and to assist physical therapists in making healthcare decisions. ...

AI in Manufacturing Market Forecast to Skyrocket to $155 Billion by 2030 The global market for artificial intelligence in manufacturing is predicted to grow from USD 34.18 billion in 2025 to USD 155.04 billion by 2030, at a compound annual growth rate (CAGR) of 35.3%. This significant growth is attributed to the increasing use of AI for improving production efficiency, predictive maintenance, and data-driven decision-making. Key technologies driving this expansion include machine learning and computer vision, with major adoption seen in the automotive and aerospace sectors. The report highlights Europe as a key region poised for substantial growth due to widespread industrial modernization and digital innovation initiatives. ...

EU AI Act’s New GPAI Rules Take Effect, Mandating Data Transparency In a significant step for AI governance, new provisions from the EU’s Artificial Intelligence (AI) Act for general-purpose AI (GPAI) models became effective on August 2, 2025. Providers of new GPAI models must now maintain current technical documentation and publish detailed summaries of their training data. More stringent requirements are set for GPAI models identified as posing a “systemic risk.” To streamline compliance, the European Commission’s AI Office has issued a mandatory template for training data disclosure. While the complete AI Act will apply from August 2, 2026, these specific rules for GPAI models are now enforceable. A voluntary Code of Practice has also been released to guide companies in meeting their legal obligations. ...