At first glance, it looks like the start of a human pregnancy: A ball-shaped embryo presses into the lining of the uterus ...
Nous Research's NousCoder-14B is an open-source coding model landing right in the Claude Code moment
B, an open-source AI coding model trained in four days on Nvidia B200 GPUs, publishing its full reinforcement-learning stack as Claude Code hype underscores the accelerating race to automate software ...
Strong holiday viewership of advanced VSLive! Orlando sessions points to growing demand for immersive, hands-on training as ...
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No-code machine learning development tools
Since 2021, Korean researchers have been providing a simple software development framework to users with relatively limited ...
Just how powerful will the Steam Machine be? Based on expert analysis of the specs revealed by Valve when it announced the Steam Machine on Wednesday, its new compact, console-like gaming PC is aimed ...
* Cursor, the AI-native code editor, recently reported that it writes nearly a billion lines of code daily. That’s one billion lines of production-grade code accepted by users every single day. If we ...
Anthropic launched learning modes in Claude chatbot and Claude Code. Instead of creating answers, they use the Socratic approach to guide you. You can select 'Learning' from the style dropdown to ...
This past spring, Anthropic introduced learning mode, a feature that changed Claude's interaction style. When enabled, the chatbot would, following a question, try to guide the user to their own ...
The new science of “emergent misalignment” explores how PG-13 training data — insecure code, superstitious numbers or even extreme-sports advice — can open the door to AI’s dark side. There should ...
In a giant feat of genetic engineering, scientists have created bacteria that make proteins in a radically different way than all natural species do. By Carl Zimmer At the heart of all life is a code.
The Recentive decision exemplifies the Federal Circuit’s skepticism toward claims that dress up longstanding business problems in machine-learning garb, while the USPTO’s examples confirm that ...
A project is trying to cut the cost of making machine learning applications for Nvidia hardware, by developing on an Apple Silicon Mac and exporting it to CUDA. Machine learning is costly to enter, in ...
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