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Science


CSAIL researchers recently helped organize the first neurosymbolic programming summer school at the California Institute of Technology. From July 11 to 13, the program brought together students of different backgrounds who are interested in the field. Neurosymbolic programming models are techniques that build off of machine learning by utilizing a combination of human-like neural networks …

Will the Metaverse(s) change humanity as we know it? Will the Metaverse(s) be the ultimate augmentation of human perception? Will it become an agora for our dreams (and, of course, nightmares), able to transform human perception entirely? Has it already started? Meta founder Mark Zuckerberg has unveiled several ambitious artificial-intelligence projects, describing AI as “the …

IBM Quantum isn’t just building quantum computers — we’re developing an ecosystem around a technology which pushes the limit of human knowledge. In order to navigate forward in this field, we must rely on theoretical physicists to chart the course. You can think of IBM Quantum’s theorists as writing quantum computing’s rulebook. Theorists research the …

    An international team of scientists has found new biomarkers that can be used for diagnostic purposes and potentially as predictive tools of the risks associated with deep-space flight. In their study, the team, including three researchers from Lawrence Livermore National Laboratory (LLNL), examined approximately two-decade-old blood samples from space shuttle astronauts before and after flight. …

In the first millionths of a second after the Big Bang, the universe was a roiling, trillion-degree plasma of quarks and gluons — elementary particles that briefly glommed together in countless combinations before cooling and settling into more stable configurations to make the neutrons and protons of ordinary matter. In the chaos before cooling, a …

A historic kidney transplant exchange recently took place in the Middle East, but it might never have transpired without an algorithm developed at Stanford by Itai Ashlagi, a Stanford associate professor of management science and engineering, and his graduate student Sukolsak Sakshuwong. In all, three ailing recipients received life-sustaining transplants while three healthy donors gave kidneys. In …

Scientists developed a machine learning algorithm to predict 3D molecular crystal density from 2D chemical structures. A long-held goal by chemists across many industries, including energy, pharmaceuticals, energetics, food additives and organic semiconductors, is to imagine the chemical structure of a new molecule and be able to predict how it will function for a desired …

New research by Lawrence Livermore National Laboratory (LLNL) climate scientists and collaborators shows that satellite measurements of the temperature of the troposphere (the lowest region of the atmosphere) may have underestimated global warming over the last 40 years. The research appears in the Journal of Climate The team studied four different properties of tropical climate …

Technological Singularity: the moment when robots reach a level of intelligence that is superior to the current level of human reasonableness or ability to predict the outcomes of unrestrained technological growth. As a consequence, the economic, cultural and political singularity of human civilization follows. And although the singularity is still the subject of many Hollywood films …

A Los Alamos National Laboratory-designed spectroscopy instrument allows scientists, industry, and governments to decipher even trace amounts of chemicals using the Earth’s own magnetic field. Called the Earth-field Resonance Detection and Evaluation device (ERDE, which is German for “Earth”), the instrument is the most sensitive, affordable, and portable technology of its kind, with the ability …