Microsoft’s new Maia 200 inference accelerator chip enters this overheated market with a new chip that aims to cut the price ...

The next generation of inference platforms must evolve to address all three layers. The goal is not only to serve models ...

The major cloud builders and their hyperscaler brethren – in many cases, one company acts like both a cloud and a hyperscaler – have made their technology choices when it comes to deploying AI ...

You train the model once, but you run it every day. Making sure your model has business context and guardrails to guarantee reliability is more valuable than fussing over LLMs. We’re years into the ...

The market for serving up predictions from generative artificial intelligence, what's known as inference, is big business, with OpenAI reportedly on course to collect $3.4 billion in revenue this year ...

You're currently following this author! Want to unfollow? Unsubscribe via the link in your email. Follow Emma Cosgrove Every time Emma publishes a story, you’ll get an alert straight to your inbox!

Artificial intelligence (AI) is a powerful force for innovation, transforming the way we interact with digital information. At the core of this change is AI inference. This is the stage when a trained ...

Recently several novel tools for inferring transcriptional networks from expression data have been developed. Computationally inferred interactions offer a useful resource to complement experimental ...

Thanks to “data inference” technology, companies know more about you than you disclose. By Zeynep Tufekci Dr. Tufekci is a professor of information science who specializes in the social effects of ...