An NHS doctor has shared his five-minute routine he does every morning as his coffee brews. While the aim is to improve his overall health, it also helps ward off diabetes. The Channel 4 documentary, ...

The original version of this story appeared in Quanta Magazine. In 1939, upon arriving late to his statistics course at UC Berkeley, George Dantzig—a first-year graduate student—copied two problems ...

During an interview with The New York Times, Stewart was asked about method acting after the conversation turned to Marlon Brando’s work on “Superman: The Movie.” The legendary actor reportedly would ...

Lindsey Ellefson is Lifehacker’s Features Editor. She currently covers study and productivity hacks, as well as household and digital decluttering, and oversees the freelancers on the sex and ...

Ethereum co-founder Vitalik Buterin has just donated over $760,000 in Ether to two projects he says are pushing digital privacy forward. Ethereum co-founder Vitalik Buterin has disclosed a donation of ...

NPR's Ayesha Rascoe speaks to Suzanne Rowan Kelleher of Forbes about how travelers can try to minimize delays now and in the holiday season given the FAA-mandated flight cancellations. The Federal ...

A class of antivirals called Pin1 inhibitors could reduce or stop outbreaks of herpes simplex virus 1 (HSV-1), the common infection behind oral herpes, according to new research published in Antiviral ...

The leading approach to the simplex method, a widely used technique for balancing complex logistical constraints, can’t get any better. In 1939, upon arriving late to his statistics course at the ...

Back from retirement, Daniel Day-Lewis is getting candid about acting. In a recent sit-down with “The New York Times,” the three-time Oscar winner said he “doesn’t like thinking of acting in terms of ...

Huawei’s Computing Systems Lab in Zurich has introduced a new open-source quantization method for large language models (LLMs) aimed at reducing memory demands without sacrificing output quality.

Introduction: In unsupervised learning, data clustering is essential. However, many current algorithms have issues like early convergence, inadequate local search capabilities, and trouble processing ...