Latest in Artificial Intelligence

Measuring progress toward AGI: A cognitive framework

We’re introducing a framework to measure progress toward AGI, and launching a Kaggle hackathon to build the relevant evaluations.

Holotron-12B - High Throughput Computer Use Agent

GTC preview: Inside the AI factory — The $1T infrastructure war under the hood of the AI economy

Nvidia's GPU Technology Conference showcases the latest advances in AI hardware, software, and models, while highlighting the massive infrastructure investments driving the AI economy. The event reveals a trillion-dollar infrastructure war as companies compete to build the computational foundation needed to power increasingly sophisticated AI systems. Beyond faster GPUs and larger models, the conference demonstrates how critical hardware and infrastructure development have become to maintaining competitive advantage in the AI sector.

Twenty years in, Amazon S3 finds itself at the center of AWS’ push beyond storage

Amazon S3 celebrates its 20th anniversary as it has evolved from an internal utility into a fundamental pillar of AWS cloud infrastructure. The milestone reflects S3's critical role in AWS's broader ecosystem and the company's continued expansion beyond basic storage capabilities.

Uber co-founder Travis Kalanick launches robotics venture Atoms

Travis Kalanick, Uber's billionaire co-founder, has launched Atoms Inc., a new robotics startup built on assets from his 2016 company City Storage Systems Inc. The venture will also absorb Pronto AI Inc., a venture-backed AI company, combining resources to advance robotics technology.

Gumloop reels in $50M for its AI automation platform

Gumloop, an AI automation platform that allows non-technical workers to build AI agents, has secured $50 million in Series B funding led by Benchmark, with participation from Shopify Ventures and Y Combinator. The funding will support the company's mission to democratize AI automation for business users without coding expertise.

AWS will bring Cerebras’ wafer-size WSE-3 chip to its cloud platform

AWS and Cerebras Systems have partnered to offer Cerebras' WSE-3 wafer-size AI chip to AWS customers through its cloud platform. The multiyear collaboration will also involve developing a disaggregated architecture designed to improve AI inference capabilities.

What to expect during Chainguard Assemble: Join theCUBE on March 19

Chainguard Assemble is an upcoming event on March 19 addressing the growing importance of software supply chain security as enterprises accelerate cloud-native and AI development. The event tackles the critical balance between shipping software quickly and managing vulnerabilities in open-source components, which has become a boardroom-level priority for organizations.

The 6G horizon: Can AI finally solve the telco monetization paradox?

At MWC Barcelona, industry discussions have shifted focus from 5G maturation to the development pathway toward 6G, with artificial intelligence emerging as a central theme. The conversation centers on whether AI can help telecommunications companies solve the long-standing challenge of monetizing network investments effectively.

Twenty years after pioneering the cloud, Amazon Web Services chases the next big prize: AI

Amazon Web Services, which pioneered cloud computing with its S3 storage service 20 years ago, is now shifting its focus toward artificial intelligence as the next major growth opportunity. The company is leveraging its established cloud infrastructure and expertise to position itself as a leader in the AI market, following its success in transforming enterprise computing through cloud services.

AI startups’ funding frenzy, where AWS goes next, and what’s coming at Nvidia’s GTC event

AI startups experienced explosive funding activity this week, with major billion-dollar-plus rounds secured by ventures led by Yann Lecun and Mira Murati, alongside numerous multi-hundred-million dollar investments in vertical-focused startups and AI tools. The funding frenzy reflects continued investor enthusiasm for the AI sector across multiple categories of companies.

Verifiable AI startup Axiom raises $200M to prove AI-generated code is safe to use

Axiom Quant Inc., a verifiable AI startup, raised $200 million in Series A funding to develop solutions that ensure AI-generated code is safe, secure, and accurate. The funding round valued the company at $1.6 billion as it addresses growing concerns about the reliability of code produced by AI systems.

From games to biology and beyond: 10 years of AlphaGo’s impact

Ten years since AlphaGo, we explore how it is catalyzing scientific discovery and paving a path to AGI.

Gemini 3.1 Flash-Lite: Built for intelligence at scale

Gemini 3.1 Flash-Lite is our fastest and most cost-efficient Gemini 3 series model yet.

Nano Banana 2: Combining Pro capabilities with lightning-fast speed

Our latest image generation model offers advanced world knowledge, production ready specs, subject consistency and more, all at Flash speed.

A Dream of Spring for Open-Weight LLMs: 10 Architectures from Jan-Feb 2026

This article reviews 10 open-weight large language model architectures released during January-February 2026, providing a comprehensive comparison of their features and capabilities. The releases represent a significant wave of innovation in the open-source LLM space during the spring 2026 period.

New Paper: Towards a science of AI agent reliability

Researchers have published a paper addressing the gap between AI agents' demonstrated capabilities and their actual reliability in real-world applications. The work focuses on quantifying and understanding why AI systems that perform well in testing often fail unpredictably when deployed. This research aims to establish scientific methods for measuring and improving AI agent dependability.

Gemini 3.1 Pro: A smarter model for your most complex tasks

3.1 Pro is designed for tasks where a simple answer isn’t enough.

A new way to express yourself: Gemini can now create music

The Gemini app now features our most advanced music generation model Lyria 3, empowering anyone to make 30-second tracks using text or images.

AI Won’t Automatically Make Legal Services Cheaper

The article argues that artificial intelligence won't necessarily reduce costs in legal services by simply treating it as a standard technology adoption. Instead, applying the "AI as Normal Technology" framework suggests that legal sector economics, market structure, and professional dynamics will shape how AI impacts pricing and accessibility. Cost reductions are not guaranteed without broader changes to how legal services are organized and delivered.