As enterprises seek alternatives to concentrated GPU markets, demonstrations of production-grade performance with diverse ...
Model inversion and membership inference attacks create unique risks to organizations that are allowing artificial intelligences to be trained using their data. Companies may wish to begin to evaluate ...
Smaller models, lightweight frameworks, specialized hardware, and other innovations are bringing AI out of the cloud and into ...
Cerebras Systems Inc., an ambitious artificial intelligence computing startup and rival chipmaker to Nvidia Corp., said today that its cloud-based AI large language model inference service can run ...
WEST PALM BEACH, Fla.--(BUSINESS WIRE)--Vultr, the world’s largest privately-held cloud computing platform, today announced the launch of Vultr Cloud Inference. This new serverless platform ...
By allowing models to actively update their weights during inference, Test-Time Training (TTT) creates a "compressed memory" ...
Sandisk is advancing proprietary high-bandwidth flash (HBF), collaborating with SK Hynix, targeting integration with major ...
The field of specification mining and behavioural model inference addresses the challenge of automatically extracting formal specifications and models of software systems from various forms of data ...
A technical paper titled “Yes, One-Bit-Flip Matters! Universal DNN Model Inference Depletion with Runtime Code Fault Injection” was presented at the August 2024 USENIX Security Symposium by ...