Generative AI Tools

Generative AI Advances with Multimodal Models and Agentic Systems The field of generative artificial intelligence, powered by large language models (LLMs), is experiencing rapid advancements in scalable and instruction-following multimodal foundation models and agentic AI applications. Progress is being driven by developments in alignment techniques, retrieval-augmented generation (RAG) architectures, and fine-grained controllability in generative tasks. Key areas of innovation include diffusion-based video generation, synthetic avatars, and goal-driven multi-agent collaboration. In response to these advancements, regulatory attention is increasing, with the EU’s AI Act, effective in 2025, mandating security-by-design for AI systems. The industry is also moving towards standardization, with OpenAI co-founding the Linux-based Agentic AI Foundation to standardize intelligent agents. Real-world applications are emerging in various fields, such as pharmaceuticals, where generative models are being used to design drug candidates and biosensors, significantly reducing design cycles. ...

Aptiv & Vecna Robotics Partner on Next-Gen Autonomous Mobile Robots (AMRs) for Warehouses Global industrial technology company Aptiv has announced a strategic collaboration with Vecna Robotics, a leader in AI-driven autonomous material handling. The two companies will co-develop next-generation Autonomous Mobile Robot (AMR) solutions aimed at providing cost-effective automation for warehouses and factories. This partnership will integrate Aptiv’s advanced perception and machine learning technologies into Vecna Robotics’ autonomy and orchestration platform. The goal is to create safer, more efficient, and scalable material handling systems. The collaboration will utilize Aptiv’s PULSE Sensor for 360-degree sensing and its ML-based technologies for real-time perception and path planning. Vecna’s platform will contribute to workflow orchestration and safe navigation in complex environments. Aptiv is set to showcase Vecna Robotics’ CPJ Co-Bot Pallet Jack at CES 2026. ...

Waymo Recalls Self-Driving Software Over School Bus Safety Concerns Waymo, the autonomous ride-hailing company, is filing a voluntary software recall after its self-driving vehicles were reported to have illegally passed stopped school buses on multiple occasions. The issue drew public attention following a viral video in September showing a Waymo vehicle bypassing a stopped school bus in Atlanta. Furthermore, the Austin Independent School District reported at least 19 similar incidents. ...

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. ...

Google Unveils Gemini 3, Ushering in an ‘Agentic Era’ of AI Google has introduced Gemini 3, a foundational model designed to power a new ‘agentic era’ of AI. Unlike previous models accessed through a single interface, Gemini 3 is being deeply integrated across Google’s product suite—including Search, Workspace, Android, and Cloud—to act as a comprehensive ’nervous system.’ This strategic shift focuses on creating AI systems that can execute actions, not just generate responses. To support this, Google is also releasing tools for developers to leverage the model for complex, long-running coding tasks. ...

NTT Sets New AV Safety Standard with Launch of Mobility Subsidiary Japanese telecommunications giant NTT has established a new subsidiary, NTT Mobility, to consolidate its expertise in the self-driving vehicle sector. The new company, launching in mid-December, will offer a comprehensive service for deploying and operating autonomous driving services across Japan. This initiative aims to overcome challenges like ensuring safe autonomous vehicle provision and developing infrastructure suited for Japan’s roads, with a service launch goal of April 2027. Concurrently, an NTT-developed technology for assessing video quality from autonomous vehicle remote-monitoring systems has been adopted as a new international standard. The model, named Parametric object-recognition-ratio-estimation, verifies in real-time if video streams are clear enough for safe object detection, alerting operators when quality drops below critical safety thresholds. ...

University of Alabama Boosts AI Research with New High-Performance Computing Center The University of Alabama is making a significant investment in artificial intelligence infrastructure to accelerate scientific research across various disciplines. To overcome the limitations of computing power, the university is constructing a new High Performance Computing and Data Center. This state-of-the-art center will provide faculty and students with access to the necessary GPUs to conduct high-level scientific and AI research. The university already leverages AI in diverse fields, from developing tools to recognize pain in premature infants to studying dark matter. The new facility, slated for completion in 2026, will dramatically enhance research capabilities and offer students invaluable hands-on experience. ...

AI Roundup: MIT’s Brain-Inspired Chips, AI Weather Forecasts, and Warehouse Intelligence Today’s top stories in Artificial Intelligence and Machine Learning feature new research from MIT on energy-efficient, brain-inspired computing. In other news, the World Meteorological Organization has endorsed using AI to improve weather forecasts, and Gather AI is strategically shifting its focus to AI-powered warehouse intelligence. Sources: World Meteorological Organization WeRide and Uber Debut Autonomous Robotaxi Service in Riyadh WeRide and Uber have launched an autonomous robotaxi service in Riyadh, Saudi Arabia, introducing self-driving vehicles to the Uber platform in the country for the first time. Initially, the service will operate with a safety operator present in the vehicle. The first public routes are established between Roshn Front and Princess Noura University. This initiative aligns with Saudi Arabia’s Vision 2030 for smart mobility. WeRide had previously secured the first robotaxi autonomous driving permit in Saudi Arabia, and this launch follows a similar service introduction on the Uber platform in Abu Dhabi in late 2024. ...

NVIDIA Unveils RLP: A New Era of Reinforcement Learning for AI Pretraining NVIDIA researchers have developed a groundbreaking training objective called Reinforcement Learning Pretraining (RLP), which integrates reinforcement learning directly into the pretraining stage of AI model development. The core concept of RLP treats a short chain-of-thought as an action that is rewarded based on the information gain it provides for the model’s next-token prediction. This innovative method creates a verifier-free and dense reward system that can be applied at scale to standard text streams. Unlike previous methods that depend on sparse signals or external verifiers, RLP’s approach allows for updates at every single token position. Experiments demonstrate that RLP can yield significant improvements in a model’s reasoning capabilities, with one model showing a substantial increase in its average score on scientific reasoning benchmarks. ...