Researchers from the Henry and Marilyn Taub Faculty of Computer Science have developed an AI-based method that accelerates DNA-based data retrieval by three orders of magnitude while significantly improving accuracy. The research team included Ph.D. student Omer Sabary, Dr. Daniella Bar-Lev, Dr. Itai Orr, Prof. Eitan Yaakobi, and Prof. Tuvi Etzion.
Scholars at the School of Engineering of the Hong Kong University of Science and Technology (HKUST) have unveiled an innovation that brings artificial intelligence (AI) closer to quantum computing—both physically and technologically.
Led by Prof. Shao Qiming, Assistant Professor at the Department of Electronic and Computer Engineering, the research team has developed a new computing scheme that works at extremely low temperatures. As a critical advancement in quantum computing, it can significantly reduce latency between artificial intelligence (AI) agents and quantum processors while boosting energy efficiency. The solution was made possible by utilizing a special technology known as magnetic topological insulator Hall-bar devices.
This latest invention addresses a major challenge concerning the operational environment and hardware requirements of quantum computers, amid growing interest in the amalgamation of quantum computing—widely seen as the future of high-speed and high-efficiency computing, with artificial intelligence—a fast-evolving technology.
Researchers at the University of California, Los Angeles (UCLA) have unveiled a new optical technology that enables precise focusing of light—only in one direction. This novel unidirectional focusing design uses structured diffractive layers that are optimized using deep learning to transmit light efficiently in the forward direction of operation while effectively suppressing unwanted backward focusing of light.
The findings are published in the journal Advanced Optical Materials. This innovation offers a compact and broadband solution for the unidirectional delivery of radiation with significant potential for applications in security, defense, and optical communications.
Controlling asymmetric light propagation—where light preferentially travels in one direction while being blocked or scattered in the opposite direction—has been a longstanding need in optical systems. Traditional solutions often rely on specialized material properties or nonlinear materials, which require relatively complex and costly fabrication methods, bulky hardware, and high-power laser sources.
US firm Dexterity unveils Mech, a super-humanoid robot using Physical AI to handle industrial tasks, starting with truck loading.
Inspired by biological cells, the robots are made of water encased in Teflon armor and are each about the size of a grain of rice.
