Grok: Ushering in the Era of Superhuman AI AI capable of acing the SAT, outperforming graduate students across every discipline, and tackling questions it's never seen before are some of the bold claims made by xAi owner Elon Musk yestrday at ... AI automation benchmarks future trends machine learning superintelligence technology
Windsurf SWE-1 Is Flow Aware AI for Software Engineers While AI models that can generate code have advanced rapidly, software engineering is a much broader discipline. The Windsurf team recognized this and set out to create AI tools that support every ste... AI models Cascade developer tools flow awareness machine learning software engineering SWE-1 Windsurf
ChatNT: Redefining Biological Data Conversations with AI Chat Nucleotide Transformer (ChatNT) , an innovative AI designed to transform how scientists and researchers approach genomics, proteomics, and related fields. It enables researchers to interact with ... AI biology bioinformatics ChatNT genomics interpretability machine learning protein analysis
Gemini Robotics On-Device: Bringing Advanced AI Directly to Robots Imagine a world where robots react instantly, adapt to changing tasks, and operate independently of the cloud. Google's DeepMind is turning this vision into reality with Gemini Robotics On-Devic... AI safety developer tools Gemini Robotics machine learning on-device AI robotic dexterity robotics
AWS Project Rainier Is Shaping the Future of AI Compute Power Imagine a leap in computing so significant it feels almost mountainous in scale. That’s the ambition behind AWS Project Rainier, a groundbreaking initiative to create one of the world’s largest ... AI infrastructure Anthropic AWS cloud computing data centers machine learning sustainability Trainium2
Kumo AI’s Relational Foundation Model: The Next Step in Enterprise Prediction Generative AI and large language models (LLMs) have revolutionized how businesses approach summarization and reasoning. However, when it’s time to forecast outcomes like customer churn or fraud, tradi... AI prediction enterprise AI foundation models machine learning relational data transformers zero-shot learning
Feedback-Driven Methods Are Transforming Prompt Engineering Prompt engineering is crucial for maximizing the capabilities of large language models (LLMs), but it has traditionally required significant manual effort and specialized know-how. As new tasks and mo... AI research automation efficiency feedback loops large language models machine learning prompt optimization
Deep Learning is Revolutionizing Computational Chemistry at Microsoft Thanks to recent breakthroughs at Microsoft Research , scientists may be able to forecast the properties of new molecules with laboratory-level accuracy, all from behind a computer screen. By marrying... AI research computational chemistry deep learning density functional theory machine learning materials science molecular modeling
Revolutionizing AI Reasoning: Microsoft Research's Breakthroughs for Language Models Artificial intelligence is advancing at a remarkable pace, but its true leap lies in enhancing reasoning skills. Microsoft Research is at the forefront, developing innovative approaches that emp... AI research formal methods generalization language models machine learning mathematics reasoning symbolic reasoning
Gemma 3n: Powering the Next Generation of On-Device AI Gemma 3n is delivering high-performance, multimodal intelligence for developers seeking efficiency and flexibility on mobile platforms. Backed by a rapidly growing community, Gemma 3n offers a leap fo... audio vision developer tools Gemma 3n machine learning mobile AI multimodal on-device AI open models
AI In Drug Discovery: From Protein Structures to Molecular Interactions Artificial intelligence is reshaping drug discovery, moving well beyond predicting static protein structures to modeling the intricate dance of biomolecular interactions. This leap is enabling scienti... AI drug discovery AlphaFold biopharma innovation biotechnology computational biology machine learning protein interactions therapeutic design
How Machine Learning is Driving Atomic-Scale Material Simulations A team at Harvard SEAS has broken new ground with a machine learning framework that predicts how materials respond to electric fields and delivers quantum-level accuracy for massive simulations, exten... Allegro-pol atomic scale computational modeling electric fields machine learning materials discovery materials science quantum simulation