A new technical paper titled “Advances in You Only Look Once (YOLO) algorithms for lane and object detection in autonomous ...

The agency’s 31% year-over-year surge in AI use cases includes work with predictive models and surveillance technologies that ...

A new technique from Stanford, Nvidia, and Together AI lets models learn during inference rather than relying on static ...

ABSTRACT: A new conceptual framework is presented that unifies Gödel’s incompleteness theorems with practical physical modeling through information-theoretic analysis. The method of variables with ...

Abstract: This article introduces a scalable distributed probabilistic inference algorithm for intelligent sensor networks, tackling challenges of continuous variables, intractable posteriors, and ...

ABSTRACT: For an independent and identically distributed skew-t-normal random sequence, this paper establishes the limit distribution of normalized sample range M n − m n . Based on the optimal ...

What’s happened? Instagram is testing a new feature that gives users more control over the type of content they see on the platform. Why is this important? Instagram’s algorithm plays a major role in ...

Abstract: Although AI has been extensively adopted and has profoundly transformed our lives, it is not feasible to directly deploy large AI models on edge devices with limited resources. To enhance ...

Just because the center of gravity for GenAI compute and other kinds of machine learning and data analytics has shifted from the CPU to the XPU accelerator – generally a GPU these days, but not ...

Inference Labs has raised a total of $6.3 million to build a cryptographic trust layer for the AI agents and off-chain computation. The recent strategic investment round featured follow-on ...

Artificial intelligence (AI) involves intense computing and tons of data. The computing may be performed by CPUs, GPUs, or dedicated accelerators, and while the data travels through DRAM on its way to ...