Machine learning is revolutionizing fundamental science by tackling long-standing mathematical challenges. A key example is ...
Loop invariants are fundamental to reasoning about programs with loops. They establish properties about a given loop’s behavior. When they additionally are inductive, they become useful for the task ...
Abstract: Adaptive observers have undergone sustained theoretical evolution and gained widespread industrial adoption due to their inherent capability for simultaneous parameter and state estimation ...
Abstract: In azimuth multichannel synthetic aperture radar (AMC-SAR) systems, channel phase errors can induce ghost targets. The estimation of signal parameters by the rotational invariance technique ...
Instagram’s December 2025 algorithm update did not introduce an entirely new system. Instead, it formalized a direction the platform has been moving toward all year: prioritizing declared interests, ...
TikTok Deal Is (Finally) Happening, CEO Confirms Plans to Retrain US Algorithm Oracle, Silver Lake, and Abu Dhabi’s state-owned investment firm MGX each plan to take a 15% stake. ByteDance will retain ...
Vector Post-Training Quantization (VPTQ) is a novel Post-Training Quantization method that leverages Vector Quantization to high accuracy on LLMs at an extremely low bit-width (<2-bit). VPTQ can ...
Agentic applications—AI systems empowered to take autonomous actions by calling external tools—are the current rage in software development. They promise efficiency, convenience, and reduced human ...
Some results have been hidden because they may be inaccessible to you
Show inaccessible results
Feedback