The photonic tensor core performs vector-matrix multiplications by utilizing the efficient interaction of light at different wavelengths with multistate photonic phase change memories. Credit: Mario Miscuglio Using photons to create more powerful and power-efficient processing units for more complex machine learning. Machine learning performed by neural networks is a popular […]

HSC J1631+4426 broke the record for the lowest oxygen abundance. Credit: NAOJ/Kojima et al. Breaking the lowest oxygen abundance record. New results achieved by combining big data captured by the Subaru Telescope and the power of machine learning have discovered a galaxy with an extremely low oxygen abundance of 1.6% […]

Researchers from the Moscow Institute of Physics and Technology, Ivannikov Institute for System Programming, and the Harvard Medical School-affiliated Schepens Eye Research Institute have developed a neural network capable of recognizing retinal tissues during the process of their differentiation in a dish. Unlike humans, the algorithm achieves this without the […]

Things are different on the other side of the mirror. Text is backward. Clocks run counterclockwise. Cars drive on the wrong side of the road. Right hands become left hands. Intrigued by how reflection changes images in subtle and not-so-subtle ways, a team of Cornell researchers used artificial intelligence to […]

Illustration of the natural fluid injection process that triggered the Cahuilla swarm. Credit: CalTech Natural Fluid Injections Triggered Cahuilla Earthquake Swarm Machine-learning algorithm helps geoscientists create a 3-D picture of a fault zone, generating new insight into seismic processes. A naturally occurring injection of underground fluids drove a four-year-long earthquake […]

Earthquakes send sound waves through the Earth. Seismograms record the echoes as those waves travel along the core-mantle boundary, diffracting and bending around dense rock structures. New research from University of Maryland provides the first broad view of these structures, revealing them to be much more widespread than previously known. […]

A machine-learning technique developed at MIT combs through global ocean data to find commonalities between marine locations, based on interactions between phytoplankton species. Using this approach, researchers have determined that the ocean can be split into over 100 types of “provinces,” and 12 “megaprovinces,” that are distinct in their ecological […]

This is an image of a galaxy with an active galactic nucleus. Credit: ESO/WFI (Optical); MPIfR/ESO/APEX/A.Weiss et al. (Submillimetre); NASA/CXC/CfA/R.Kraft et al. (X-ray) Active galactic nuclei (AGNs) play a major role in galaxy evolution. Astronomers from the University of Groningen and Netherlands Institute for Space Research have now used a […]

MIT researchers have developed a new automated AI system with improved computational efficiency and a much smaller carbon footprint. The researchers’ system trains one large neural network comprising many pretrained subnetworks of different sizes that can be tailored to diverse hardware platforms without retraining. Credit: MIT News, based on figures […]

Researchers demonstrated the mathematical impossibility of representing social networks and other complex networks using popular methods of ‘low-dimensional embeddings.’ Models and algorithms for analyzing complex networks are widely used in research and affect society at large through their applications in online social networks, search engines, and recommender systems. According to […]