Lifeboat Foundation

Scientists have now leveraged deep learning to discover a new class of compounds that can kill a drug-resistant bacterium.

Using deep learning models, scientists have identified a new class of antibiotic compounds that can work against resistant strains like MRSA.

Abstract Here we represent human lives in a way that shares structural similarity to language, and we exploit this similarity to adapt natural language processing techniques to examine the evolution and predictability of human lives based on detailed event sequences.

Using registry data from Denmark, Lehmann et al. create individual-level trajectories of events related to health, education, occupation, income and address, and also apply transformer models to build rich embeddings of life-events and to predict outcomes ranging from time of death to personality.

The events of 2023 showed that A.I. doesn’t need to be that good in order to do damage.

A team of international scientists have developed an ultra-high speed signal processor that can analyze 400,000 real time video images concurrently, according to a paper published in Communications Engineering.

The team, led by Swinburne University of Technology’s Professor David Moss, have developed a processor that operates more than 10,000 times faster than typical electronic processors that operate in Gigabyte/s, at a record 17 Terabits/s (trillion bits per second).

The technology has profound implications for the safety and efficiency of driverless cars, medical imaging and could help find habitable planets beyond our solar system.

On the pursuit for anyons (Majoranas) in the context of the latest progress on multiple platforms.

Already, the graphene efforts have offered “a breath of fresh air” to the community, Alicea says. “It’s one of the most promising avenues that I’ve seen in a while.” Since leaving Microsoft, Zaletel has shifted his focus to graphene. “It’s clear that this is just where you should do it now,” he says.

But not everyone believes they will have enough control over the free-moving quasiparticles in the graphene system to scale up to an array of qubits—or that they can create big enough gaps to keep out intruders. Manipulating the quarter-charge quasiparticles in graphene is much more complicated than moving the Majoranas at the ends of nanowires, Kouwenhoven says. “It’s super interesting for physics, but for a quantum computer I don’t see it.”

Continue reading “A ghostly quasiparticle rooted in a century-old Italian mystery could unlock quantum computing’s potential” »

Mercedes wants integrated turquoise lights to be the universal sign for autonomous driving.

Combating the rise of facial-recognition technology, designers have created clothing and accessories to help to conceal people’s identities.

A system called Coscientist scours the Internet for instructions, then designs and executes experiments to synthesize molecules.

Taking inspiration from the human brain, researchers have developed a new synaptic transistor capable of higher-level thinking.

Designed by researchers at Northwestern University, Boston College and the Massachusetts Institute of Technology (MIT), the device simultaneously processes and stores information just like the human brain. In new experiments, the researchers demonstrated that the transistor goes beyond simple machine-learning tasks to categorize data and is capable of performing associative learning.

Although previous studies have leveraged similar strategies to develop brain-like computing devices, those transistors cannot function outside cryogenic temperatures. The new device, by contrast, is stable at room temperatures. It also operates at fast speeds, consumes very little energy and retains stored information even when power is removed, making it ideal for real-world applications.