High-resolution volumetric calcium imaging was used to create a functional atlas of the Drosophila melanogaster ventral brain and identify how and where metabolic and reproductive states alter processing of food-related sensory stimuli.
“We just open-sourced an AI model we built that can translate across 200 different languages — many which aren’t supported by current translation systems,” he said. “We call this project No Language Left Behind, and the AI modeling techniques we used from NLLB are helping us make high quality translations on Facebook and Instagram for languages spoken by billions of people around the world.”
Meta invests heavily in AI research, with hubs of scientists across the globe building realistic avatars for use in virtual worlds and tools to reduce hate speech across its platforms 0, among many other weird and wonderful things. This investment allows the company to ensure it stays at the cutting edge of innovation by working with the top AI researchers, while also maintaining a link with the wider research community by open-sourcing projects such as No Languages Left Behind.
The major challenge in creating a translation model that will work across rarer languages is that the researchers have a much smaller pool of data — in this case examples of sentences — to train the model versus, say, English. In many cases, they had to find people who spoke those languages to help them provide the data, and then check that the translations were correct.
MAUI, Hawaii—(BUSINESS WIRE)—Extended Longevity, a Hawaii-based longevity company focused on reversing the biomarkers of aging, announces that new test results show the regrowth of telomeres in a 75 year old man to the equivalent of a 10 year old (a 65 year reversal), using the SpectraCell Laboratories Telomere test. Thus, this demonstrates that his aging process, as represented by telomere biomarker tests, has significantly regenerated.
Continuously updated results from third-party testing labs demonstrating how well our products work in the real world.
Researchers want to know more about the Red Planet’s enigmatic geology and thin atmosphere.
An early-stage Martian sailplane soared aloft, tethered to a balloon, as engineers ponder the possibilities to expand Red Planet flight.
The University of Arizona released a progress update on its sailplane project June 30 in conjunction with a recent journal publication exploring Mars exploration using motorless sailplanes.
😳!
Astronomers detected a small asteroid called 2022 NF that will pass within 23% of the distance from Earth to the moon tonight.
Circa 2021
This highly commended photograph in the Natural History Museum’s Wildlife Photographer of the Year competition might just haunt your dreams.
University of Chicago physicists have invented a “quantum flute” that, like the Pied Piper, can coerce particles of light to move together in a way that’s never been seen before.
Described in two studies published in Physical Review Letters and Nature Physics, the breakthrough could point the way towards realizing quantum memories or new forms of error correction in quantum computers, and observing quantum phenomena that cannot be seen in nature.
Assoc. Prof. David Schuster’s lab works on quantum bits —the quantum equivalent of a computer bit—which tap the strange properties of particles at the atomic and sub-atomic level to do things that are otherwise impossible. In this experiment, they were working with particles of light, known as photons, in the microwave spectrum.
NVIDIA’s next-gen Lovelace graphics cards are rumored to feature considerably higher TGPs than their predecessors. We’re looking at power draws of up to 600W for the RTX 4090 and even more for the RTX 4,090 Ti. This is despite the fact that these chips will be fabbed on TSMC’s 4nm N4 process which is easily one of the most efficient nodes on the planet. The excessive power consumption won’t be for nothing though, and the RTX 4,090 (based on the AD102 die) will pack around 16K FP32 cores.
The AD102 die will get a haircut before going into the RTX 4,090, dropping the core count from 18,432 to 16,384. This means that a few of the SMs, TPCs, and GPCs along with the L2 cache will also be axed. As for the clocks, Kopite7kimi states that we can expect core boost clocks well over 2.8GHz.
We might get a GPU with 16,384 pulsating cores running at a whopping 3GHz and custom liquid-cooled models clocked even higher. The more accessible RTX 4,080 featuring the AD103 die should pack around 10,000 cores and boosts exceeding 3GHz. The peak power draw should stay in the 400-450W range.
Receptors found on cell surfaces bind to hormones, proteins, and other molecules, helping cells respond to their environment. MIT chemists have now discovered how one of these receptors changes its shape when it binds to its target, and how those changes trigger cells to grow and proliferate.
This receptor, known as epidermal growth factor receptor (EGFR), is overexpressed in many types of cancer and is the target of several cancer drugs. These drugs often work well at first, but tumors can become resistant to them. Understanding the mechanism of these receptors better may help researchers design drugs that can evade that resistance, says Gabriela Schlau-Cohen, an associate professor of chemistry at MIT.
“Thinking about more general mechanisms to target EGFR is an exciting new direction, and gives you a new avenue to think about possible therapies that may not evolve resistance as easily,” she says.
A multi-institutional collaboration, which includes the U.S. Department of Energy’s (DOE) Argonne National Laboratory, has created a material that can be used to create computer chips that can do just that. It achieves this by using so-called “neuromorphic” circuitry and computer architecture to replicate brain functions. Purdue University professor Shriram Ramanathan led the team.
“Human brains can actually change as a result of learning new things,” said Subramanian Sankaranarayanan, a paper co-author with a joint appointment at Argonne and the University of Illinois Chicago. “We have now created a device for machines to reconfigure their circuits in a brain-like way.”
With this capability, artificial intelligence-based computers might do difficult jobs more quickly and accurately while using a lot less energy. One example is analyzing complicated medical images. Autonomous cars and robots in space that might rewire their circuits depending on experience are a more futuristic example.
