Research team debuts the first deterministic streaming algorithms for non-monotone submodular maximization, delivering superior approximation ratios with minimal memory and real-time throughput on ...

Today's AI agents are a primitive approximation of what agents are meant to be. True agentic AI requires serious advances in reinforcement learning and complex memory.

The White House has answered what had been one of the major outstanding questions regarding its pending deal to transfer TikTok’s US operations to a majority American ownership group: Under the ...

Researchers have successfully demonstrated quantum speedup in kernel-based machine learning. When you purchase through links on our site, we may earn an affiliate commission. Here’s how it works.

In most of the successful turnarounds I’ve led over the years, one of my first steps was to distribute to the entire company a “manifesto” that outlined the fundamental ideas and strategies around ...

We propose the Trust Region Preference Approximation (TRPA) algorithm ⚙️, which integrates rule-based optimization with preference-based optimization for LLM reasoning tasks 🤖🧠. As a ...

The numerical solution of partial differential equations (PDEs) is essential in computational physics. Over the past few decades, various quantum-based methods have been developed to formulate and ...

As the current frontier of humanity in space, the International Space Station is heavily reliant on Earth not only for fresh supplies but also as a garbage disposal service for the various types of ...

SpaceX uses 3D printers and a process of relentless refinement to streamline its Raptor engines. In the Raptor 3, plumbing and wiring that had been on the outside were fused into the motor’s metal ...

Abstract: In this work, a novel self-powered visible light communication and positioning (SPVLCP) system is constructed, which can realize communication, positioning, and energy harvesting ...