Google Research has proposed a training method that teaches large language models to approximate Bayesian reasoning by learning from the predictions of an optimal Bayesian system. The approach focuses ...

Concr CEO Irina Babina and CTO Matthew Griffiths unpack how Bayesian foundation models can excel at uncertainty management to ...

Deployed in AWS data centers and accessed through Amazon Bedrock, AWS Trainium + Cerebras CS-3 solution will accelerate inference speed Fastest inference coming soon: AWS and Cerebras are partnering ...

FriendliAI — founded by the researcher behind continuous batching, the technique at the core of vLLM — is launching InferenceSense, a platform that fills idle neocloud GPU capacity with paid AI ...

AI-powered bot hackerbot-claw exploited GitHub Actions workflows across Microsoft, DataDog, and CNCF projects over 7 days using 5 attack techniques. Bot achieved RCE in 5 of 7 targets, stole GitHub ...

Purdue University engineers have developed a patent-pending method to decrease hazardous strikes to underground utility pipes during construction projects. This could lower related financial losses, ...

Gather AI, a startup that offers an AI platform for warehouse cameras and drones, has raised a $40 million Series B funding round led by Smith Point Capital. That’s the VC firm founded by former ...

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 ...

Forbes contributors publish independent expert analyses and insights. I write about the economics of AI. When OpenAI’s ChatGPT first exploded onto the scene in late 2022, it sparked a global obsession ...

Soybean is an oilseed of great relevance to Brazil because it is one of the main crops produced in the country. The success of this crop depends on several factors, the main one being seed quality.

A neural network is a machine learning model originally inspired by how the human brain works (Courtesy: Shutterstock/Jackie Niam) Precision measurements of theoretical parameters are a core element ...