OFC 2026 plenary speakers address AI, advances in optical technologies and satellite communications
Meeting Announcement
Updates every hour. Last Updated: 2-Apr-2026 10:16 ET (2-Apr-2026 14:16 GMT/UTC)
Magnetic skyrmions are particle-like objects that can be used as information carriers in memory and computing devices. Researchers from Waseda University recently studied the flow behaviors of many skyrmions in structured magnets and found that skyrmions can behave like chiral fluids. They proposed that fully developed skyrmion flows can be used for fluidics, which significantly reduces complexity of skyrmion logic, as it eliminates the need for deterministic creation, precise control, and detection of individual skyrmions.
Abnormal rhythmic electrical signals in the retina are a hallmark of several vision disorders, but their origins have remained unclear. Researchers have discovered how the loss of the TRPM1 ion channel disrupts communication between retinal cells, triggering oscillations that distort visual signaling. Oscillations observed in Trpm1 knockout mice are strikingly similar to those found in retinitis pigmentosa–model mice, revealing a common generative mechanism for these abnormal rhythmic signals in retinal diseases.
ARC Innovation at Sheba Medical Center and Icahn School of Medicine at Mount Sinai (part of the Mount Sinai Health System in New York City) today announced a landmark three-year collaboration with NVIDIA to harness the power of artificial intelligence for genomic discovery through the application of large language model (LLM) technology. The initiative aims to pioneer the decoding of the majority of the human genome that remains poorly understood in order to unlock new pathways for disease prevention, diagnosis, and treatment. Over the three-year period, the project will be supported by significant investment from the participating organizations, with the goal of accelerating research that can ultimately benefit patients worldwide.
The University of Liverpool has unveiled an ambitious plan for a new £100 million AI Materials Hub for Innovation (AIM-HI) dedicated to accelerating the application of artificial intelligence in materials chemistry.