OpenAI halves their inference cost but no one knows how

Somewhere in the final week of June, several employees at OpenAI allegedly confided to their colleagues that they have solved ...

Significant Milestone for Silicom - First AI Inference-Related Production Order

Total expected 2026 AI inference revenues is now in the multi-million-dollar range – KFAR SAVA, Israel, June 30, 2026 /PRNewswire/ -- Silicom Ltd. (NASDAQ: SILC), a leading ...
IEEE

Efficient Acceleration of Deep Learning Inference on Resource-Constrained Edge Devices: A Review

Abstract: Successful integration of deep neural networks (DNNs) or deep learning (DL) has resulted in breakthroughs in many areas. However, deploying these highly accurate models for data-driven, ...

The Networked News Cycle: From Belief To Inference

Communications was built for a broadcast era defined by controlled distribution, but we now operate in a networked ...
Frontiers

How humans and machines make meaning: Exploring neural and computational mechanisms of multimodal language

Language understanding is inherently multimodal. Whether we read, listen, or converse, our brains go beyond words to draw on visual scenes, prosody, prior ...
IEEE

Characterizing Cloud-Native LLM Inference at Bytedance and Exposing Optimization Challenges and Opportunities for Future AI Accelerators

Abstract: As a major provider of LLM inference services, ByteDance has continuously explored diverse accelerator options to meet the rapidly growing inference demands of various heterogeneous LLM ...
GitHub

Paper List of Inference/Test Time Scaling/Computing

If you think our paper list is helpful, please Star⭐. Thanks! We will continue to update. Generated by DALL·E. We understand that Inference/Test Time Scaling/Computing is a broad field. If you feel ...