Ars Technica 人工智能 全文
What happens to mathematics when AI becomes an oracle?
Mathematician Steven Strogatz discusses his new book, Big Math: The Hidden Codes That Run Our World.
Ars Technica 人工智能 全文
Mathematician Steven Strogatz discusses his new book, Big Math: The Hidden Codes That Run Our World.
MarkTechPost 人工智能
Zyphra released ZONOS3-Mini, an Apache 2.0 text-to-speech model with 800M total and 100M active parameters. It clones voices, steers delivery word by word and runs in real time in the browser The post Zyphra Releases…
Towards Data Science 人工智能
A Gemini Flash-Lite step pulls skills, seniority, and Nigeria eligibility from 18 RemoteOK postings, with Python checks and dbt tests guarding every answer. The post How to Validate LLM Output in a DuckDB and dbt…
InfoQ 人工智能
Cloudflare is developing a public certificate authority for Merkle Tree Certificates (MTCs) to reduce the bandwidth overhead of post-quantum cryptography. A Chrome experiment served billions of MTCs to 50% of Chrome…
KDnuggets 人工智能 全文
Free AI and Data Courses with 365 Data Science: 100% Unlimited Access until Nov 20
NVIDIA 人工智能 全文
As businesses put more agents to work, AI factories need CPUs that can execute those steps quickly and support many agents at once, all within the limits of available power.
TechRadar 人工智能 全文
Genie 4 is impressive, so why does Google have to drag AGI into it?
MIT News 人工智能 全文
MIT Professor Paris Smaragdis seeks to make machines that can hear and understand sounds like humans, in an effort to improve artificial perception for a wide range of applications.
Google DeepMind 人工智能 全文
Learn more about our approach to safety and security for Gemini 4 Argon.
Google 人工智能 全文
We’re expanding Google Beam to five new countries, and partnering with Industrious for an extended network.
Google Research 人工智能 全文
Education Innovation
GitHub Blog 人工智能 全文
A rewrite this size wasn't affordable before agents. Here's what porting the Copilot agent runtime to 800,000 lines of production Rust actually took.
Amazon Science 人工智能 全文
New research indicates that AI agents learn compressible models of data, which don’t have enough space to enable memorization.
Meta Engineering 人工智能 全文
We’ve built an AI agent that acts as a secondary expert for a given domain, making deep specialist knowledge readily available and preserved for anyone in an organization to access, share, and buil…
Microsoft Research 人工智能 全文
Skala 1.1, the updated deep-learning exchange-correlation functional from Microsoft Research, provides greater accuracy, expanded accessibility across the computational chemistry ecosystem, and a living benchmark to track computational…
SiliconANGLE 人工智能 全文
Hatz AI raises $24M to help small businesses go AI-native through their MSPs - SiliconANGLE
AWS 人工智能
Learn how Java developers can build production-ready autonomous AI agents using Amazon Bedrock and Spring AI. This post walks through tool calling, conversation memory, resilience patterns, and multi-agent…
The Verge 人工智能 全文
It’s another limitation on personal AI assistants like Muse and Dots.
ZDNET 人工智能 全文
More phones are getting Gemini Intelligence, but only Pixel users can access it in a new way.
The Guardian 人工智能
The prime minister is trying to untangle the copyright knot. But this is about much more than intellectual property Get our breaking news email, free app or daily news podcast If Anthony Albanese has a spiritual home it…
Ars Technica 人工智能 全文
The new model is up to twice as successful at some tasks.
MarkTechPost 人工智能
Anthropic released Claude Fable 5.2 and Claude Mythos 5.2, one model with two safeguard levels. Fable 5.2 scores 49.1% on FrontierCode 2.0, costs $8/$40 per million tokens, and ships with a 1M-token context window. The…
Towards Data Science 人工智能
A guard on negative enrollment days looked correct while the function it called overbilled a customer 11 days, and an invariant test would have caught it. The post Copilot Caught 8 of 8 Diff Bugs With Rules, 0 of 2…
InfoQ 人工智能
In this episode, Edoardo Vacchi discusses the evolving landscape of WebAssembly on the backend, running Java workloads on GPUs using TornadoVM, and optimizing distributed AI inference using llm-d and vLLM on Kubernetes…
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