Qoro Quantum's unified software stack optimizes quantum algorithms, addressing integration challenges and accelerating the ...

Traditional authentication is incapable of securing AI agents, the company says, as it announces Access Intelligence.

Abstract: In the CORSA project [1] we demonstrated an AI method for near-lossless image compression for Sentinel-2 data using the concept of vector quantized auto-encoders. As part of the MOVIQ ...

Background/aims Ocular surface infections remain a major cause of visual loss worldwide, yet diagnosis often relies on slow ...

Abstract: The exponential growth of digital imagery necessitates advanced compression techniques that balance storage efficiency, transmission speed, and image quality. This paper presents an embedded ...

Random rotation: Multiply the input vector by a fixed random orthogonal matrix. This makes each coordinate follow a known Beta(d/2, d/2) distribution. Lloyd-Max scalar quantization: Quantize each ...

python deep-learning numpy transformer attention quantization vector-quantization model-compression inference-optimization memory-optimization kv-cache post-training-quantization llm llm-inference llm ...