Small tweaks to AI model size, prompt length, and compression techniques can deliver major energy savings, according to a new ...

Startups are making rapid progress in building decentralized pre-training and post-training machine learning. Can they compete with centralized companies long-term? CoinFund’s Jake Brukhman is ...

Atombeam's Neurpac solution is specifically designed to overcome the challenges of network congestion and bandwidth ...

Most current on-board raw SAR data reduction techniques are based on adaptive quantization. Next-generation SAR systems will be drastically more data intensive, with increased swath sizes, improved ...

The compression methods in the WBANs have four issues: 1-incompatibility with the datasets obtained from biosensors, 2- lack of accuracy in prediction methods, 3- unsuitable for repetitive data ...