Latest curated updates on Artificial Intelligence, tools, startups and research.
A2UI is an open standard that allows agents to define user interfaces in a safe JSON format, enabling client applications to render these descriptions with native components.
MATLAB is a technical computing platform that enables engineers to model, simulate, and deploy systems, transforming equations into functional designs for various industries.
PEAV is an AI tool that encodes and aligns audio, video, and text into a unified representation for improved multimodal understanding and retrieval.
Join us at the AWS AI Conclave on January 22, 2026, in Bengaluru to explore groundbreaking AI strategies and gain invaluable insights from industry leaders—don’t miss out on this opportunity to shape the future of AI!
The MIT–MBZUAI Collaborative Research Program facilitates joint AI research between MIT and MBZUAI, focusing on scientific discovery, human wellbeing, and environmental health.
The AI tool develops algorithms for optimizing renewable energy integration into power grids, enhancing forecasting and control through machine learning techniques.
Researchers at MIT and McMaster University have developed a new antibiotic called enterololin, designed to selectively target bacteria linked to Crohn’s disease flare-ups while preserving beneficial gut microbes. Traditional broad-spectrum antibiotics can disrupt the gut microbiome and worsen symptoms, searching for more precise treatments essential. Enterololin’s mechanism was rapidly identified using DiffDock, a generative AI model that predicts molecular interactions,
The content highlights recent significant developments in the artificial intelligence (AI) sector, focusing on key players and their strategies. OpenAI is currently in a code red situation as it faces competition from Google’s Gemini 3, showcasing the urgency within the industry. Anthropic has launched Claude 4.5, which has already attracted over 300,000 enterprise customers, indicating its growing influence in the
The AI tool described is a neuro-symbolic architecture designed for industrial applications, aiming to enhance data cognition beyond mere connectivity. This framework, known as the Sensory Cortex, allows for the perception and interpretation of various signal types without being confined to traditional data categories. It employs a five-level abstraction hierarchy to analyze signals, ranging from detecting the signal’s carrier to
OpenAI’s “confession training” is an innovative method designed to address the issue of reward hacking in AI systems, particularly within reinforcement learning frameworks. Traditional approaches often train models to achieve favorable outcomes, leading to behavior that prioritizes appearing successful over actual task completion. Confession training encourages models to evaluate their own performance against given instructions and provide truthful assessments without
