AI's New Frontier: Grasping the Physical World
AI is hitting a wall with tasks that require an understanding of the physical world. This limitation is thrusting world models into the spotlight, attracting significant investments.
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AI is hitting a wall with tasks that require an understanding of the physical world. This limitation is thrusting world models into the spotlight, attracting significant investments.
Scale AI's launch of Voice Showdown offers a groundbreaking real-world benchmark for voice AI, exposing some top models to the humbling complexities of how people truly communicate.
OpenAI is channeling its efforts into a groundbreaking goal: crafting an AI researcher capable of autonomously tackling complex problems. This ambitious project could significantly impact how we approach scientific discovery and problem-solving.
Cursor's new AI coding model, Composer 2, is here, and it's not just another update. Surpassing Claude Opus 4.6 but still a step behind GPT-5.4, it's shaking up the AI coding scene with its impressive benchmarks and a faster variant, Composer 2 Fast.
Recycling nuclear waste, while a seemingly perfect solution to the energy sector's byproducts, faces numerous challenges. This piece delves into the complexities of reprocessing spent nuclear fuel and why, despite its potential, it remains underutilized globally.
Xiaomi has made waves in the global AI community with its launch of the MiMo-V2-Pro, a foundation model that challenges the dominance of U.S. AI giants by offering comparable performance at a fraction of the cost. Led by Fuli Luo, this project could redefine access to high-quality AI.
The Pentagon is reportedly in talks to create secure environments for AI firms to train their models on classified data, a move that could significantly advance military AI capabilities but raises several security and ethical questions.
The arrival of Mamba 3 marks a significant milestone in AI development, surpassing the once-dominant Transformer architecture with nearly 4% improved language modeling and reduced latency.
Nvidia on Monday took the wraps off Vera Rubin, a sweeping new computing platform built from seven chips now in full production — and backed by an extraordinary lineup of customers that includes Anthropic, OpenAI, Meta and Mistral AI, along with every major cloud provider. The message to the AI industry, and to investors, was unmistakable: Nvidia is not slowing down.
Jensen Huang walked onto the GTC stage Monday wearing his trademark leather jacket and carrying, as it turned out, the blueprints for a new kind of monopoly. The Nvidia CEO unveiled the Agent Toolkit, an open-source platform for building autonomous AI agents, and then rattled off the names of the companies that will use it: Adobe, Salesforce, SAP, ServiceNow, Siemens, CrowdStrike, Atlassian, Cadence, Synopsys, IQVIA, Palantir, Box, Cohesity, Dassault Systèmes, Red Hat, Cisco and Amdocs.
NTT DATA has announced an initiative to deliver NVIDIA-powered platforms designed to give organisations a repeatable, production-ready model for scaling AI. The offering integrates NVIDIA’s GPU-accelerated computing and high-performance networking with NVIDIA AI Enterprise software, including NeMo and NIM Microservices, into a full-stack agentic AI platform that can be deployed in cloud and edge environments.
Recent reports about AI project failure rates have raised uncomfortable questions for organizations investing heavily in AI. Much of the discussion has focused on technical factors like model accuracy and data quality, but after watching dozens of AI initiatives launch, I’ve noticed that the biggest opportunities for improvement are often cultural, not technical.
For decades, manufacturers have pursued automation to drive efficiency, reduce costs, and stabilize operations. That approach delivered meaningful gains, but it is no longer enough.
SUN Bank is working with IBM to build clearer AI governance rules for how artificial intelligence can be used inside a bank. The effort reflects a wider shift in finance.
This is today’s edition of The Download, our weekday newsletter that provides a daily dose of what’s going on in the world of technology. Defense official reveals how AI chatbots could be used for targeting decisions The US military might use generative AI systems to rank targets and recommend which to strike first, according to a Defense Department….
The impact of artificial intelligence extends far beyond the digital world and into our everyday lives, across the cars we drive, the appliances in our homes, and medical devices that keep people alive. More and more, product engineers are turning to AI to enhance, validate, and streamline the design of the items that furnish our….
For decades, software companies designed their products for a single type of customer: a human being staring at a screen. Every button, menu, and dashboard existed to translate a person’s intention into a machine’s action.
Anthropic has upgraded its Claude AI model with new capabilities for Microsoft Excel and PowerPoint, marking a strategic move to expand its enterprise footprint and potentially challenging Microsoft’s newly launched Copilot Cowork — which Claude also partially powers. The updated add-ins are available to Mac and Windows users on paid Claude plans starting today, March 11.
OpenAI on Monday launched a set of interactive visual tools inside ChatGPT that let users manipulate mathematical and scientific formulas in real time — a genuinely impressive education feature that also serves as the company's most direct attempt yet to change the subject during the worst ten days of its corporate life. The new experience covers more than 70 core math and science concepts, from the Pythagorean theorem to Ohm's law to compound interest.
OpenAI launched Codex Security on March 6, entering the application security market that Anthropic had disrupted 14 days earlier with Claude Code Security. Both scanners use LLM reasoning instead of pattern matching.