Gert-Jan Oskam was living in China in 2011 when he was in a motorcycle accident that left him paralyzed from the hips down.
In a new study, researchers describe a device that connects the intentions of a paralyzed patient to his physical movements.
In an alarming exposé, several women have come forward accusing neuroscientist and celebrated podcaster Andrew Huberman of manipulation, bizarre behavior, and infidelity that may have led to a sexually transmitted infection in at least one of them.
Published by New York Magazine, this deep dive into the disparate public and private lives of the Stanford University neuroscientist illustrates a jarring portrait of a man who promotes physical and mental health and wellness — but engaged in bizarre interpersonal behavior, including secretly dating five women simultaneously.
Much of the story centers around a woman whom NYMag calls Sarah, who spent years dating the “Huberman Lab” host in what she believed to be an exclusive relationship. Along with accusing the 48-year-old podcaster of obfuscating about his other relationships, Sarah described Huberman as being intense and controlling, including — in a particularly unhinged twist — constantly relitigating her romantic and reproductive decisions from back before they were together.
He helped pioneer a branch of the field that exposed hard-wired mental biases in people’s economic behavior. The work led to a Nobel.
We empirically study a simple layer-pruning strategy for popular families of open-weight pretrained LLMs, finding minimal degradation of performance on different question-answering benchmarks until after a…
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As transistors get smaller, they become increasingly inefficient and susceptible to errors, as electrons can leak through the device even when it is supposed to be switched off, by a process known as quantum tunneling. Researchers are exploring new types of switching mechanisms that can be used with different materials to remove this effect.
In the nanoscale structures that Professor Jan Mol, Dr. James Thomas, and their group study at Queen Mary’s School of Physical and Chemical Sciences, quantum mechanical effects dominate, and electrons behave as waves rather than particles. Taking advantage of these quantum effects, the researchers built a new transistor.
The transistor’s conductive channel is a single zinc porphyrin, a molecule that can conduct electricity. The porphyrin is sandwiched between two graphene electrodes, and when a voltage is applied to the electrodes, electron flow through the molecule can be controlled using quantum interference.
8,385 likes, — dylanpage.ning on March 19, 2024: ‘Is farming tech a good or bad thing?🤔’
This article includes computer-generated images that map internet communities by topic, without specifically naming each one. The research was funded by the US government, which is anticipating massive interference in the 2024 elections by “bad actors” using relatively simple AI chat-bots.
In an era of super-accelerated technological advancement, the specter of malevolent artificial intelligence (AI) looms large. While AI holds promise for transforming industries and enhancing human life, the potential for abuse poses significant societal risks. Threats include avalanches of misinformation, deepfake videos, voice mimicry, sophisticated phishing scams, inflammatory ethnic and religious rhetoric, and autonomous weapons that make life-and-death decisions without human intervention.
During this election year in the United States, some are worried that bad actor AI will sway the outcomes of hotly contested races. We spoke with Neil Johnson, a professor of physics at George Washington University, about his research that maps out where AI threats originate and how to help keep ourselves safe.
Northwestern Medicine investigators have identified a metabolism-related gene that may play a role in recruiting immune cells to support the growth of aggressive brain tumors, according to a study recently published in Nature Communications.
Artificial intelligence (AI) is bringing a new era to healthcare. A large part of its value is the ability to collect and analyze data sets to streamline administrative processes, improve diagnosis accuracy, and optimize treatment regimens.
Now researchers have added antibiotic discovery to that list.
A recent study published in Nature Machine Intelligence by McMaster University and Stanford University researchers introduces SyntheMol, a generative AI model capable of designing new antibiotics to combat drug-resistant bacteria.