Deep streams of data from Earth-imaging satellites arrive in databases every day, but advanced technology and expertise are required to access and analyze the data. Now a new system, developed in research based at the University of California, Berkeley, uses machine learning to drive low-cost, easy-to-use technology that one person […]

A new study led by A&S professor Tao Wen used a novel method of machine learning to explore the environmental impact of oil and gas drilling. A study led by EES professor Tao Wen is one of the first to use machine learning techniques to holistically assess general water quality […]

An image of Messier 101, the Pinwheel Galaxy, made with the Hubble Space Telescope. The bright blue clumps in the spiral arms are sites of recent star formation. Credit: NASA, ESA, K. Kuntz (JHU), F. Bresolin (University of Hawaii), J. Trauger (Jet Propulsion Lab), J. Mould (NOAO), Y.-H. Chu (University […]

Simulations of a region of space 100 million light-years square. The leftmost simulation ran at low resolution. Using machine learning, researchers upscaled the low-res model to create a high-resolution simulation (right). That simulation captures the same details as a conventional high-res model (middle) while requiring significantly fewer computational resources. Credit: […]

Schematic representation of a processor for matrix multiplications which runs on light. Credit: University of Oxford The exponential growth of data traffic in our digital age poses some real challenges on processing power. And with the advent of machine learning and AI in, for example, self-driving vehicles and speech recognition, […]

A ribbon model of a protein. Credit: Emw/Wikimedia CC BY-SA 3.0 Proteins are essential to cells, carrying out complex tasks and catalyzing chemical reactions. Scientists and engineers have long sought to harness this power by designing artificial proteins that can perform new tasks, like treat disease, capture carbon or harvest […]

A new machine learning algorithm trained only with real data has classified over 2,300 supernovae with over 80% accuracy. Artificial intelligence is classifying real supernova explosions without the traditional use of spectra, thanks to a team of astronomers at the Center for Astrophysics | Harvard & Smithsonian. The complete data sets […]

A new study applies machine learning to the fossil record to visualize life’s history, showing the impacts of major evolutionary events. This shows the long-term evolutionary and ecological impacts of major events of extinction and speciation. Colors represent the geological periods from the Tonian, starting 1 billion years ago, in […]

Emission of carbon monoxide in the Orion B molecular cloud Credit: J. Pety/ORION-B Collaboration/IRAM Artificial intelligence can make it possible to see astrophysical phenomena that were previously beyond reach. This has now been demonstrated by scientists from the CNRS, IRAM, Observatoire de Paris-PSL, Ecole Centrale Marseille and Ecole Centrale Lille, […]

In developing a system to help decipher lost languages, MIT researchers studied the language of Ugaritic, which is related to Hebrew and has previously been analyzed and deciphered by linguists. Credit: S.R.K. Branavan System developed at MIT CSAIL aims to help linguists decipher languages that have been lost to history. Recent research […]