This figure shows an overview of SPECTRA and compares its functionality with other training-free state-of-the-art approaches across a range of applications. SPECTRA comprises two main modules, namely ...

Chipmakers Nvidia and Groq entered into a non-exclusive tech licensing agreement last week aimed at speeding up and lowering the cost of running pre-trained large language models. Why it matters: Groq ...

Researchers propose low-latency topologies and processing-in-network as memory and interconnect bottlenecks threaten inference economic viability ...

Move over large language models — the new frontier in AI is world models that can understand and simulate reality. Why it matters: Models that can navigate the way the world works are key to creating ...

Gary Marcus, professor emeritus at NYU, explains the differences between large language models and "world models" — and why he thinks the latter are key to achieving artificial general intelligence.

The proliferation of edge AI will require fundamental changes in language models and chip architectures to make inferencing and learning outside of AI data centers a viable option. The initial goal ...