Discover the latest developments in artificial intelligence, machine learning, and emerging technologies. Stay ahead of the AI revolution.
Two ski bums leveraged their passion for the slopes and AI technology to create the internet's top snow forecasting app, challenging industry giants and transforming how skiers and snowboarders plan their mountain adventures.
Google's new TurboQuant algorithm promises to revolutionize AI's memory efficiency by increasing speed 8x and slicing costs in half. This breakthrough tackles the notorious Key-Value cache bottleneck, a major hurdle in processing large language models.
The battle over AI's role in warfare heats up as Anthropic clashes with the Pentagon, OpenAI steps in, and public outcry reaches new heights.
Stanford researchers have dived deep into the unsettling phenomenon where AI-driven chatbots might be sending some users down the rabbit hole of delusion. Meanwhile, OpenAI has begun voicing concerns over the potential risks Microsoft's involvement could bring.
Transform 2026 is shifting its focus from generative AI to pioneering the use of autonomous agents in enterprise, a move that could change the game for business tech.
Cursor's Composer 2, a high-profile AI coding tool, was recently unveiled as being built atop a Chinese AI model, sparking debates about transparency and the ethics of open-source AI. This revelation not only raises questions about the integrity of Western AI developers but also highlights the complex web of dependencies in the global tech landscape.
In an unexpected twist, the Bay Area's animal welfare movement is seeking help from AI researchers. This collaboration highlights the potential of AI to contribute to social causes beyond its traditional tech domains.
Exploring the fears that keep AI developers up at night, this article delves into the potential chaos of overly autonomous agents and the industry's mishandling of AI's capabilities.
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.