Scientists were out to prove sleep was just a waste of time. Among the students who participated in the sleep deprivation study was the future head of the psychology department at George Washington University. Breakthroughs, discoveries, and DIY tips sent every weekday. The grueling Medical College Admission Test, or MCAT, was first devised in the 1920s by George Washington University professor Frederick August Moss. Originally called the Scholastic Aptitude Test for Medical Students, Moss developed the readiness test as a way to curb high dropout rates in medical schools.

Things to Do in L.A. Tap to enable a layout that focuses on the article. Singer D4vd broke lease and moved out of Hollywood Hills home searched in 15-year-old girl's death Singer D4vd performs onstage during Day 1 of Coachella Valley Music and Arts Festival on April 18 in Indio, Calif. This is read by an automated voice. Please report any issues or inconsistencies here . The singer D4vd broke his lease on a Hollywood Hills home just days after police searched the property in connection with the death of a 15-year-old girl.

In a couple of weeks, Google's annual developer conference will kick off on May 20. The event is probably the most important on the company's calendar, offering a glimpse at everything it has been working on over the past year. Judging from rumors and information Google has trickled out, I/O 2025 should be one of the more exciting tech keynotes in recent memory. Plus, this year Google has a dedicated Android showcase planned a whole week earlier. If you want to know what to expect from the company later this month, read on.

DeepSeek will be banned from all federal government devices as the Albanese government cracks down on the Chinese AI chatbot, citing unspecified national security risks. The launch of DeepSeek's AI generative chatbot rocked US tech stocks last week amid concerns over censorship and data security. The home affairs department secretary signed a directive on Tuesday banning the program from all federal government systems and devices on national security grounds after advice from intelligence agencies that it poses an unacceptable risk. The home affairs minister, Tony Burke, said the decision was not impacted by the app's country of origin – China – but by its risk to the government and its assets. "The Albanese government is taking swift and decisive action to protect Australia's national security and national interest," Burke said.

In the days leading up to its annual software conference, Google executives were unusually excited about … wallpaper. Wallpaper that's generated by artificial intelligence after tapping a few prompts on your phone screen. "Generative AI" is the key phrase here. It's the category of artificial intelligence that tech companies both big and small are hanging their futures on right now. Alphabet-owned Google is one of the pioneers in this space; as Google executives like to remind people, the "T" in OpenAI's ChatGPT actually refers to transformer technology that Google introduced back in 2017. And Google has been working on human-like chatbot technology for years.

When Android 14 arrives later this year, it will bring new customization features to Google's mobile operating system. On Wednesday at the company's I/O developer conference, Android chief David Burke showed off a handful of new features for creating custom wallpapers. The tools build on the Material You design system Google introduced in 2021 by allowing users to create a custom wallpaper by picking a few of their favorite emojis. The creation tool allows you to add up to 14 emojis to a single wallpaper. You can then pick a pattern and a color to bring everything together.

Jeff Dirks is fascinated by new technologies like generative AI. But when it comes to implementation, the chief information and technology officer of workforce augmentation firm TrueBlue chooses a path that trails early adopters. "We're in the early majority," is the CIO/CTO's blunt self-assessment. Although many IT leaders would like to think of themselves -- and have others think of them -- as in the vanguard of new technology adoption, the vast majority find themselves in the middle of a bell curve, with innovators leading the way and laggards trailing behind, according to Everett Rogers' diffusion of innovations theory [see chart]. But there is no one "right" place to be along the curve.

When the Ninth Circuit Court of Appeals considered a lawsuit against Google in 2020, Judge Ronald M. Gould stated his view of the tech giant's most significant asset bluntly: "So-called'neutral' algorithms," he wrote, can be "transformed into deadly missiles of destruction by ISIS." According to Gould, it was time to challenge the boundaries of a little snippet of the 1996 Communications Decency Act known as Section 230, which protects online platforms from liability for the things their users post. The plaintiffs in this case, the family of a young woman who was killed during a 2015 Islamic State attack in Paris, alleged that Google had violated the Anti-terrorism Act by allowing YouTube's recommendation system to promote terrorist content. The algorithms that amplified ISIS videos were a danger in and of themselves, they argued. Gould was in the minority, and the case was decided in Google's favor.

Researchers combined machine learning and a molecule-making machine to find the best conditions for automated complex chemistry. Pictured, from left: University of Illinois chemistry professor Martin D. Burke, materials science and engineering professor Charles M. Schroeder, graduate student Nicholas Angello and postdoctoral researcher Vandana Rathore. Pictured on the screen behind them are international collaborators, led by professors Bartosz A. Grzybowski and Alán Aspuru-Guzik. Artificial intelligence, "building-block" chemistry and a molecule-making machine were combined to find the best general reaction conditions for synthesizing chemicals important to biomedical and materials research – a finding that could speed innovation and drug discovery as well as make complex chemistry automated and accessible. With the machine-generated optimized conditions, researchers at the University of Illinois Urbana-Champaign and collaborators in Poland and Canada doubled the average yield of a special, hard-to-optimize type of reaction linking carbon atoms together in pharmaceutically important molecules.

With the machine-generated optimized conditions, researchers at the University of Illinois Urbana-Champaign and collaborators in Poland and Canada doubled the average yield of a special, hard-to-optimize type of reaction linking carbon atoms together in pharmaceutically important molecules. The researchers say their system provides a platform that also could be used to find general conditions for other classes of reactions and solutions for similarly complex problems. They reported their findings in the journal Science. "Generality is critical for automation, and thus making molecular innovation accessible even to nonchemists," said study co-leader Dr. Martin D. Burke, an Illinois professor of chemistry and of the Carle Illinois College of Medicine, as well as a medical doctor. "The challenge is the haystack of possible reaction conditions is astronomical, and the needle is hidden somewhere inside. By leveraging the power of artificial intelligence and building-block chemistry to create a feedback loop, we were able to shrink the haystack. And we found the needle."