>
FULL: Elon Musk, Jensen Huang, Tom Brown Discuss the AI Revolution & What's Next – 09/29/26
Trump Administration Slashes Biden Fuel-Economy Standards: 'Fleet-average fuel economy...'
Transgender New York Times executive 'infuriated his in-laws by letting son wear girl's dres
Congress Ordered An Annual Accounting Of Terrorism; The Counting Has Stopped...
Elon Musk's Next-Gen Motor Destroy Entire EV Industry
China's disputed satellite refueling heralds new space war era
BYD Will Put Solid-State Batteries In An EV Next Year: Executive
FDA-cleared exoskeleton puts spinal-cord patients back on their feet
Your Robotic Vacuum Is Watching You -- Could It Someday Testify Against You in Court?
Why Unigrid's Sodium-Ion Batteries Are the Game-Changer for Off-Grid Energy Storage
This Battery On Wheels Makes Any Diesel Truck Electric In 5 Minutes
Mass-Production of AI Infrastructure – Speed Up by 10X
3D-printed Martian mud homes look critical for life beyond Earth
Inside The Texas Factory Racing To Break China's Grip On EV Magnets

In the spring of 2017, Urmila Mahadev found herself in what most graduate students would consider a pretty sweet position. She had just solved a major problem in quantum computation, the study of computers that derive their power from the strange laws of quantum physics. Combined with her earlier papers, Mahadev's new result, on what is called blind computation, made it "clear she was a rising star," said Scott Aaronson, a computer scientist at the University of Texas, Austin.
Mahadev, who was 28 at the time, was already in her seventh year of graduate school at the University of California, Berkeley — long past the stage when most students become impatient to graduate. Now, finally, she had the makings of a "very beautiful Ph.D. dissertation," said Umesh Vazirani, her doctoral adviser at Berkeley.