The only no-code automation platform deserves more attention than it gets ...

OpenAI inference cost reduction cut ChatGPT guest traffic from tens of thousands of Nvidia GPUs to just a couple hundred, using software optimization alone. Engineers achieved more than 50% savings ...

Local AI inference at 32B-parameter quality, no cloud API required: University of Waterloo researchers released PAW on July 2, 2026, a system that compiles any natural-language task spec into a 23MB ...

Local AI inference at 32B-parameter quality, no cloud API required: University of Waterloo researchers released PAW on July 2 ...

OpenAI inference cost reduction cut ChatGPT guest traffic from tens of thousands of Nvidia GPUs to just a couple hundred, ...

SINGAPORE, SINGAPORE, SINGAPORE, July 3, 2026 /EINPresswire.com/ -- PRESS RELEASE FOR IMMEDIATE RELEASE Date: May 30, ...

KV, a low-rank KV cache compression method achieving up to 20x reduction, with the paper selected as a Spotlight at ICML 2026 ...

Introduces a low-rank-based approach to KV cache compression, one of the key bottlenecks in long-context AISpeeds up attention computation by up to 6.9x and overall generation throughput by up to 3.1x ...

Running a 284-billion-parameter language model on a laptop might sound improbable, but DeepSeek’s V4 Flash makes it a reality. By combining a Mixture-of-Experts (MoE) architecture, advanced ...

As AI becomes cheaper and more capable, I believe it will weave itself into the fabric of every job description.

Abstract: Recent large language models (LLMs), driven by the scaling law, have demonstrated remarkable performance in various machine learning tasks by significantly increasing model size. However, ...

Abstract: DRAM-based processing-in-memory (DRAM-PIM) has gained commercial prominence in recent years. However, its integration for deep learning acceleration, particularly for large language models ...