Sophisticated AI models tend to require a lot of memory and take up a lot of storage space. One of the ways to reduce that ...

Image courtesy by QUE.com As we navigate the landscape of 2026, we find ourselves no longer merely using Machine Learning (ML) but ...

SEOUL, South Korea, June 11, 2026 /PRNewswire/ -- Nota AI, a company specializing in AI model compression and optimization, announced that two of its papers on MoE-specific quantization algorithms ...

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 ...

SEOUL, South Korea, July 2, 2026 /PRNewswire/ -- Dnotitia Inc. (Dnotitia), a company specializing in long-term memory AI and semiconductor-based AI infrastructure technologies, has released the paper ...

Two papers on MoE-specific quantization algorithms accepted at a workshop held in conjunction with ICML 2026 Recognition follows Nota AI's overall win at the NVIDIA Nemotron Hackathon Strengthening ...

We fine-tuned on AMI, the most gamed testset on the HF Open ASR Leaderboard, and climbed 10 places. Here is what benchmaxxing ...

AI-powered transcription tools like Klang.io are rapidly advancing in sophistication, but they won't be replacing humans ...

Abstract: Federated learning (FL) is an emerging paradigm for training machine learning models using possibly private data available at edge devices. The distributed operation of FL gives rise to ...