FILE - A Chinese microchip is seen through a microscope set up at the booth for the state-controlled Tsinghua Unigroup project which is driving China's semiconductor ambitions during the 21st China Beijing International High-tech Expo in Beijing, China, on May 17, 2018. Furious at U.S. efforts that cut off access to technology to make advanced computer chips, China's leaders appear to be struggling to figure out how to retaliate without hurting their own ambitions in telecoms, artificial intelligence and other industries. (AP Photo/Ng Han Guan, File)
Seventeen Iranian men have been charged in a cybercrime case being prosecuted by the U.S. Attorney for the Southern District of New York.
The accused are members of the Mabna Institute, an Iranian-based company known for hacking U.S. higher education institutions and private sector companies on behalf of the Islamic Republic of Iran’s Islamic Revolutionary Guard Corps (IRGC).
As artificial intelligence becomes central to scientific discovery, researchers face a growing but often overlooked risk: the AI models, datasets, and automated systems they depend on can be compromised in ways that conventional cybersecurity tools are not designed to detect.
For decades, physicists wrestled with a fundamental mystery of the universe.
They wanted to know why certain particles — like the protons in atoms — have mass, while particles of light do not. Whatever the reason was, it was crucial to understanding the origins of planets, galaxies and life itself.
The leading theory stated that particles got their mass from interacting with an invisible field, later dubbed the Higgs field, but no one had ever been able to prove it existed.
Most Americans don’t read the rules that govern the federal grants funding science. Those rules, called the Uniform Guidance, shape how cancer research is funded, graduate students are trained, clinical trials are sustained, universities stock their labs and discoveries from those labs move into broader society.
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