From fine-tuning open source models to building agentic frameworks on top of them, the open source world is ripe with ...
Tech Xplore on MSN
Mistaken correlations: Why it's critical to move beyond overly aggregated machine-learning metrics
MIT researchers have identified significant examples of machine-learning model failure when those models are applied to data other than what they were trained on, raising questions about the need to ...
Finally, the organizations that implement quantum-inspired techniques will have a headstart on quantum computing as the ...
Social media company X has taken an uncommon step in an industry known for secrecy by publicly releasing the source code ...
Smartphone cameras are leaning hard on AI, but is it helping or hurting image quality? I look at why hardware still matters ...
Overview: Senior machine learning engineers in tech earn $200,000–$350,000 for building large-scale production AI ...
Accurately tracking atmospheric greenhouse gases requires not only fast predictions but also reliable estimates of uncertainty.
Researchers from Tianjin University have introduced the Emergency Medical Procedures 3D Dataset (EMP3D), a pioneering ...
Explore how robotics technology trends and automation robotics are transforming manufacturing, healthcare, and logistics with ...
Tech Xplore on MSN
How do we make sure AI is fair, safe, and secure?
AI is ubiquitous now—from interpreting medical results to driving cars, not to mention answering every question under the sun ...
Why is a Chinese quant shop behind one of the world’s strongest open-weight LLMs? It turns out that modern quantitative investing and frontier AI labs are converging on the same institutional machine: ...
Some results have been hidden because they may be inaccessible to you
Show inaccessible results