Thinking Machines Lab Inc. today launched its Tinker artificial intelligence fine-tuning service into general availability.
5don MSN
OpenAI, Anthropic, and Block join new Linux Foundation effort to standardize the AI agent era
Anthropic, Block, and OpenAI are backing the Linux Foundation’s new Agentic AI Foundation, donating MCP, Goose, and AGENTS.md ...
The $12K machine promises AI performance can scale to 32 chip servers and beyond but an immature software stack makes harnessing that compute challenging ...
Canonical natively integrates AMD's GPU platform ROCm into Ubuntu 26.04 LTS. Developers will soon be installing software for ...
Overview AI programmers are needed in many fields, from health care to finance and from cars to online apps. The need for ...
AWS announced it next-gen AI chip called Trainium3 alongside UltraServers that enable customers to train and deploy AI models ...
The Register on MSN
How high-end supercomputer filesystem DAOS can break out of its niche
DAOS needs user education, Nvidia GPU access, and better manageability to grow DAOS has been a great success in the traditional HPC/supercomputing world, but is nowhere in the new, AI-focused, GPU ...
CEO Jensen Huang just swung a sledgehammer at the idea that AI will permanently cripple the power grid. On the latest episode of the Joe Rogan Experience, Huang argued the exact opposite, that ...
Tech Xplore on MSN
Researchers extend tensor programming to the continuous world
When the FORTRAN programming language debuted in 1957, it transformed how scientists and engineers programmed computers. Complex calculations could suddenly be expressed in concise, math-like notation ...
We train latent diffusion models, replacing the commonly-used U-Net backbone with a transformer that operates on latent patches. We analyze the scalability of our Diffusion Transformers (DiTs) through ...
This repository provides sample code and Jupyter notebooks demonstrating how to implement CNN architectures with PyTorch. The focus is on helping users understand the fundamentals of deep learning for ...
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