A development at Stanford turns qubits, quantum bits of information, stored in atoms into light, and for the first time, collects that information using one photon for each atom simultaneously. This “parallel interface” makes it possible to get information out of the quantum computer quickly and could be scaled up to create networked quantum supercomputers.

The Hebrew University of Jerusalem is proud to announce that Prof. Guy Kindler, Dean of the School of Engineering and Computer Science, has been awarded the Michael and Sheila Held Prize by the U.S. National Academy of Sciences (NAS). This $100,000 prize is one of the most prestigious honors in computer science and discrete mathematics, presented annually to recognize outstanding, innovative, and influential research in combinatorial and discrete optimization and complexity theory.

FAU will become Florida’s first university to publicly host a large, onsite quantum computer. Through a partnership with D-Wave, FAU will install the advanced Advantage2 system on its Boca Raton campus, accelerating breakthrough research, hands-on student training, and real-world applications. This milestone positions FAU as a hub for quantum education and innovation while strengthening Florida’s leadership in next-generation computing.

A research paper by scientists at Nankai University presents a monolithic synaptic device that replicates and integrates tactile sensing and neuromorphic processing functions for in-sensor computing.

Can you imagine anticipating the struggle between the immune system and a tumor using mathematical tools that understand each patient's uncertainty? Researchers at ESPOL developed an innovative model based on Type-3 Fuzzy Logic that simulates precisely that confrontation. Unlike traditional models, this proposal integrates individual biological variability and delays in the immune response, allowing highly accurate prediction of chaotic patterns and possible tumor relapses. In addition, the study generates clear and interpretable risk maps that facilitate the design of personalized and explainable therapies, aligning with the principles of Explainable Artificial Intelligence (XAI) to support clinical decision-making.