Precision forestry has long lacked a reliable way to predict how light moves through tree canopies over time—a gap that limits everything from pruning decisions to yield optimization. Now, researchers ...

Sarvam AI's Saaras V4 speech-to-text covers 22 Indian languages, adds keyterm prompting, 5 output modes, sub-150 ms streaming ...

Discover how Sarvam AI's new Saaras V4 speech-to-text model is revolutionizing enterprise applications with advanced accent recognition and mixed-language support.

Saaras V4 brings 22 Indian languages, five output modes, Global English, real-time speech recognition and APIs for voice apps in India.

Medical image segmentation, the task of teaching computers to trace the exact outlines of organs and lesions inside CT scans, ...

I have read through presentation materials regarding the limitations of Next-Token Prediction (NTP), which is the mainstream ...

In this new series, Galaxy Research is trying something a little different, looking at artificial intelligence through a ...

DeepSeek 4.1 Flash packs over 500 billion parameters while cutting memory requirements 4x, rivaling Claude Opus 5 Kim K3 in ...

Current Understanding of TypeSafe AI 'Jev' Architecture and Training MethodologyJev is a 'System 1' deep learning model ...

DeepSeek-V4.1-Flash uses a Mixture of Experts (MoE) architecture, which activates only selected expert networks depending on the input to improve computational efficiency. The model has 552 billion ...

DeepSeek V4.1-Flash promises lower memory use and API costs, but buyers should test its performance, compatibility and total deployment expenses. DeepSeek says its latest model lowers memory ...

Flash, released September 10, cuts AI agent KV cache memory fourfold via four architectural techniques -- CED split, CSA2, FP4 quantization, and SWA elimination -- reducing per-token memory to 890 ...