Abstract: Due to the open nature of wireless communication, malicious electromagnetic jamming has long been a severe threat to the establishment and stability of communication links. To address this ...

Abstract: Communication networks are difficult to model and predict because they have become very sophisticated and dynamic. We develop a reinforcement learning routing algorithm (RLRouting) to solve ...

The energy sector is becoming a highly connected cyber-physical ecosystem in which distributed energy resources, electric ...

A new research initiative from NVIDIA has demonstrated an AI system capable of autonomously generating reward algorithms that ...

EquiLibre Technologies, a Prague-based AI lab founded by three ex-DeepMind researchers, is now valued at more than $500 ...

Antitrust laws presume a meeting of minds. Section 3(1) of the Competition Act, 2002 prohibits any agreement causing an appreciable adverse effect on competitio ...

If you have any confusion about the code or want to report a bug, please open an issue instead of emailing me directly, and unfortunately I do not have exercise answers for the book.

(NASDAQ: DDOG), the leading AI-powered observability and security platform, today announced it has acquired Adaptive ML, a frontier AI startup developing the world's first Reinforcement Learning ...

OpenAI co-founder and former Director of AI at Tesla, who recently joined Anthropic—claims that X has become so toxic that he ...

Mobile robots are increasingly deployed in applications ranging from household cleaning to hazardous industrial inspection, ...

Pope Leo XIV states AI embeds ethical choices in its design, measurements, and classifications. Insights on dignity and ...

These algorithms can then predict patient responses to different ventilation strategies and suggest personalized ventilation settings for individual patients. Objective: In this study, we aimed to ...