Cornell’s ME-AI Model Captures Human Intuition for Quantum Materials Discovery

Researchers at Cornell University have introduced a novel machine-learning model, Materials Expert-Artificial Intelligence (ME-AI), designed to quantify and encapsulate the intuition of human experts to accelerate the discovery of new quantum materials. The model effectively “bottles” expert knowledge into descriptors that can accurately predict a material’s functional properties. In a proof-of-concept test, ME-AI was trained on expert-curated data to identify a specific desirable characteristic across 879 materials. The model not only reproduced the human expert’s intuition but also expanded upon it, proving its ability to generalize predictions to other compound sets. This research establishes a powerful model for future collaborations between materials scientists and AI experts to push the boundaries of scientific discovery.

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NVIDIA Accelerates Robotics R&D with Open-Source GR00T Model and Isaac Lab Tools

NVIDIA has significantly boosted the robotics development landscape by releasing its open-source Newton Physics Engine in NVIDIA Isaac Lab. This release is complemented by the open NVIDIA Isaac GR00T N1.6, a reasoning vision language action model for advanced robot skills, and new AI infrastructure. These technologies aim to provide developers and researchers with an open, accelerated platform for robotics development. The initiative is designed to speed up iteration, standardize testing protocols, and enable robots to reliably transfer skills learned in simulation to real-world applications. The Isaac GR00T model endows robots with human-like reasoning, allowing them to understand and execute complex instructions by leveraging prior knowledge. Furthermore, new NVIDIA Cosmos world foundation models will help developers generate diverse data to accelerate the training of physical AI models. Industry leaders like Agility Robotics, Boston Dynamics, and Figure AI are already adopting NVIDIA’s Isaac and Omniverse technologies.

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OpenAI Launches Sora 2 with Realistic Audio and a New ‘Sora’ Social App

OpenAI has announced the launch of Sora 2, the next generation of its acclaimed text-to-video model, along with a new invite-only social media app named ‘Sora’. The upgraded model generates more realistic and physically accurate videos, now featuring fully synchronized audio, including speech, background sounds, and sound effects. A standout feature of the new iOS app is ‘cameos,’ which allows users to insert a realistic video of themselves into AI-generated scenes. The social platform is built for users to create and share these sophisticated AI-generated videos with friends. Initially, the app is available by invitation only in the United States and Canada. OpenAI is positioning this dual release as a major advancement in the realism and creative potential of AI video generation.

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Dynatrace Earns AWS Generative AI Competency for its AI Observability Platform

Software intelligence leader Dynatrace has achieved the Amazon Web Services (AWS) Generative AI Competency, a recognition of its platform’s advanced capabilities in monitoring and governing generative AI applications. This prestigious designation is awarded to AWS partners who demonstrate deep technical proficiency and proven customer success in implementing generative AI technologies. The Dynatrace platform equips enterprises with essential tools to optimize the performance of their generative AI models while ensuring responsible AI governance. The company’s Grail data lakehouse and Davis AI work in tandem to analyze telemetry data, providing insights that automate workflows and manage risk within complex generative AI architectures. Dynatrace will showcase its generative AI observability solutions at the upcoming AWS re:Invent 2025 conference.

Fujitsu and AIST Form Strategic Partnership to Advance Japanese Quantum Computing

Fujitsu and Japan’s National Institute of Advanced Industrial Science and Technology (AIST) have entered into a significant collaboration agreement to enhance Japan’s international competitiveness in quantum technology. This strategic partnership will concentrate on research and development for large-scale superconducting quantum computers. Both organizations will pool their extensive resources, including quantum-related technologies, advanced manufacturing facilities, and expert personnel. A primary objective is to overcome the challenge of scaling up quantum computers, a complex task that requires the seamless integration and optimization of numerous elemental technologies. The collaboration aims to establish the superiority of Japan’s quantum technology and promote its widespread adoption in the global market.

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