Revolutionary technology achieves order-of-magnitude performance gains on standard CPUs, challenging fundamental assumptions about AI infrastructure requirements ...

We study deep neural networks and their use in semiparametric inference. We establish novel rates of convergence for deep feedforward neural nets. Our new rates are sufficiently fast (in some cases ...

BingoCGN employs cross-partition message quantization to summarize inter-partition message flow, which eliminates the need for irregular off-chip memory access and utilizes a fine-grained structured ...

Keane, "Amortized Inference for Correlated Discrete Choice Models via Equivariant Neural Networks," NBER Working Paper 35037 (2026), ...

Every object detection deployment hits the same wall. The neural network backbone runs on an accelerator — GPU, NPU, DSP — and then the results get shipped back to a host CPU for postprocessing. Box ...

Gene regulatory networks (GRNs) depict the regulatory mechanisms of genes within cellular systems as a network, offering vital insights for understanding cell processes and molecular interactions that ...

Artificial intelligence infrastructure startup Parasail Inc. today announced that it has raised $32 million in early-stage ...

TORONTO--(BUSINESS WIRE)--Untether AI ®, a leader in energy-centric AI inference acceleration today introduced a breakthrough in AI model support and developer velocity for users of the imAIgine ® ...

TORONTO--(BUSINESS WIRE)--Untether AI ®, the leader in energy-centric AI inference acceleration, today announced broad availability of its highly anticipated speedAI 240 Slim AI inference accelerator ...

Advanced Micro Devices Inc. today announced that it has acquired Nod.ai, a startup that develops open-source software for speeding up artificial intelligence models, for undisclosed financial terms.