“An annoying burden” — Now the AI bros are coming for your voice.
A pulmonologist based in Dubai was astonished by the accuracy of Artificial Intelligence (AI) in diagnosing diseases. Recently, Dr. Mohammad Fawzi Katranji tested an AI tool’s ability to detect pneumonia from an X-ray and was impressed when it pinpointed the same areas he had identified, as well as an additional spot he had missed. The AI completed the task in seconds, a stark contrast to the 20 years Dr. Katranji spent acquiring his expertise. The AI’s findings ultimately aided in the patient’s recovery.
“I am about to lose my job. This is scary because I developed the skill over 20 years, which lets me look at an X-ray and point to pneumonia,” he said in the video, showing his findings.
“Now, here comes AI, and they pick it up in a second. Now, you don’t need professional eyes to look at these X-rays. You just have artificial intelligence. They picked up pneumonia. I am going to be applying to McDonald’s soon, and I hope they have some openings,” the doctor joked.
First-of-its-kind study suggests groups of artificial intelligence language models can self-organise into societies, and are prone to tipping points in social convention, much like human societies.
The Texas House of Representatives has passed the third reading of SB 21, a bill that seeks to establish a strategic Bitcoin reserve in the state. The bill passed in a 101–42 vote and will now go to Texas Governor Greg Abbott to either sign into law or veto.
SB 21, authored by state Senator Charles Schwertner, establishes a Bitcoin reserve that is managed by the state’s comptroller. The legislation allows the comptroller to invest in any cryptocurrency with a market cap above $500 billion over the previous 12-month period. Currently, the only cryptocurrency fitting the requirement is Bitcoin.
Before the vote, state Representative Giovanni Capriglione said to the chamber that the bill was a “pivotal moment in securing Texas’s leadership in the digital age with the passage of our strategic Bitcoin reserve. Now, we embrace a modern asset with traditional properties for future promise.” The bill passed in the Texas Senate in a 25–5 vote on March 6.
The federal government has lifted some reporting requirements for autonomous vehicles used in robotaxi service.
The first test of Tesla’s long-promised robotaxi service in Austin, Texas next month will initially be limited to specific areas the company deems “the safest,” CEO Elon Musk told CNBC in an interview Tuesday.
Tesla’s cars are “not going to take intersections unless we are highly confident [they’re] going to do well with that intersection, or it’ll just take a route around that intersection,” Musk said. “We’re going to be extremely paranoid about the deployment, as we should be. It would be foolish not to be.”
Using a geofence represents a major strategy shift for Musk, who spent years claiming his company would be able to create a general-purpose self-driving solution that could be dropped in to any location and work without human supervision. (Geofence is a jargon term used in the autonomous vehicle industry that means a vehicle is restricted to a certain area.) Musk has claimed Tesla will attempt to launch similar trials for its robotaxi service in California and possibly other states later this year.
A research team from the Department of Energy’s Oak Ridge National Laboratory, in collaboration with North Carolina State University, has developed a simulation capable of predicting how tens of thousands of electrons move in materials in real time, or natural time rather than compute time.
The project reflects a longstanding partnership between ORNL and NCSU, combining ORNL’s expertise in time-dependent quantum methods with NCSU’s advanced quantum simulation platform developed under the leadership of Professor Jerry Bernholc.
Using the Oak Ridge Leadership Computing Facility’s Frontier supercomputer, the world’s first to break the exascale barrier, the research team developed a real-time, time-dependent density functional theory, or RT-TDDFT, capability within the open-source Real-space Multigrid, or RMG, code to model systems of up to 24,000 electrons.
A quantum computer has used a single atom to model the complex dynamics of organic molecules interacting with light
Researchers found that interoceptive awareness—the ability to sense internal bodily states—predicts whether people’s moral judgments match group norms. Brain scans revealed that resting-state activity in specific brain regions mediates this relationship.
A Korean research team has developed a light-powered artificial muscle that operates freely underwater, paving the way for next-generation soft robotics.
The research team—Dr. Hyun Kim at the Korea Research Institute of Chemical Technology (KRICT), Prof. Habeom Lee at Pusan National University, and Prof. Taylor H. Ware at Texas A&M University—successfully developed artificial muscles based on azobenzene-functionalized semicrystalline liquid crystal elastomers (AC-LCEs) that actuate in response to light.
The work has been published in the journal Small.