GitHub

MACHINE LEARNING FOR QUANTUM NOISE REDUCTION USING DENSITY MATRIX

Quantum computation has the potential for exponential speedup of classical systems in some applications, such as cryptography, simulation of molecular behavior, and optimization. Nevertheless, quantum ...
IEEE

3-D Autonomous Entry Trajectory Planning via Hybrid Action Reinforcement Learning

Abstract: In this article, by employing a modular strategy and hybrid action reinforcement learning (RL), an intelligent 3-D entry trajectory planning approach is proposed to achieve online autonomous ...
IEEE

Robust Open Set Specific Emitter Identification Using Reciprocal Points Learning and Deep Reconstruction Learning

Abstract: In smart wireless communication environments, specific emitter identification (SEI) technology has become a crucial means to ensure the security and stability of the wireless communication ...
Microsoft

New White House commitments empower teachers, students, and job seekers through AI skilling and learning

Today, at the White House’s AI Education Task Force meeting, Microsoft announced a sweeping set of new commitments to support the Presidential AI Challenge and the AI Education Executive Order, ...
Niagara Gazette

Hard coaching and quick learning allow Bills to trust rookie Dorian Strong if thrust into action

ORCHARD PARK — NFL practices operate like a conveyor belt. A play is run and they move onto the next. Corrections and critiques are mostly done during meetings. So when Buffalo Bills cornerbacks coach ...