Taalas has launched an AI accelerator that puts the entire AI model into silicon, delivering 1-2 orders of magnitude greater ...

Researchers from the University of Maryland, Lawrence Livermore, Columbia and TogetherAI have developed a training technique that triples LLM inference speed without auxiliary models or infrastructure ...

We all have the habit of trying to guess the killer in a movie before the big reveal. That’s us making inferences. It’s what happens when your brain connects the dots without being told everything ...

After a decade of its stock hovering in a consistent range, Hyundai Motor is eying an explosive increase in its market ...

Identifying vulnerabilities is good for public safety, industry, and the scientists making these models.

AI isn’t just cutting labor; it’s generating revenue, and Nvidia’s earnings call made it clear. Click here for more ...

The startup Taalas wants to deliver a hardwired Llama 3.1 8B with almost 17,000 tokens/s with the HC1 – almost 10 times faster than previous solutions.

The field of artificial intelligence has reached a point where simply adding more data or increasing the size of a model is not the best way to make it more intelligent. For the past few years, we ...

For years, cosmologists have argued over a simple question with an awkward answer: How fast is the universe expanding right ...

LLMs can compose poetry or write essays. You can specify that these compositions are “in the style of” a noted poet or author ...

ML is poised to become faster and more accessible by 2026. Simply having the support of GenAI already gives it an advantage over other AI-based solutions.

SQL will continue to serve as the lingua franca but the world of data will speak in graphs, vectors, LLMs too– and relational databases will stay but not in the same chair. Here’s why?