Research Archives - Page 6 of 7 - Liwaiwai

Deep Learning Helps Predict New Drug Combinations To Fight COVID-19

The existential threat of COVID-19 has highlighted an acute need to develop working therapeutics against emerging health threats. One of the luxuries deep learning has afforded us is the ability to modify the landscape as it unfolds — so long as we can keep up with the viral threat, and access the right data. As with all new medical maladies, oftentimes the data needs time to catch up, and the virus takes no time to slow down, posing a difficult challenge as it can quickly mutate and become resistant to existing drugs. This led scientists from MIT’s Computer Science and…

New Chemistry Enables Using Existing Technology To Print Stretchable, Bendable Circuits On Artificial Skin

Chemical engineer Zhenan Bao and her team of researchers at Stanford have spent nearly two decades trying to develop skin-like integrated circuits that can be stretched, folded, bent and twisted – working all the while – and then snap back without fail, every time. Such circuits presage a day of wearable and implantable products, but one hurdle has always stood in the way. Namely, “How does one produce a completely new technology in quantities great enough to make commercialization possible?” Bao said. Bao and team think they have a solution. In a new study, the group describes how they have printed stretchable-yet-durable…

New Face Mask Prototype Can Detect Covid-19 Infection

Engineers at MIT and Harvard University have designed a novel face mask that can diagnose the wearer with Covid-19 within about 90 minutes. The masks are embedded with tiny, disposable sensors that can be fitted into other face masks and could also be adapted to detect other viruses. The sensors are based on freeze-dried cellular machinery that the research team has previously developed for use in paper diagnostics for viruses such as Ebola and Zika. In a new study, the researchers showed that the sensors could be incorporated into not only face masks but also clothing such as lab coats,…

AI and the Art of Ingenuity: Computational Creativity

Will a computer ever be more creative than a human? In this compelling program, artists, musicians, neuroscientists, and computer scientists explore the future of artistry and imagination in the age of artificial intelligence. Today, there are robots that make art, move like dancers, tell stories, and even help human chefs devise unique recipes. But is there ingenuity in silico? Can computers be creative? A rare treat for the senses, this thought-provoking event brings together artists and computer scientists who are creating original works with the help of artificially intelligent machines. Joined by leading experts in psychology and neuroscience, they’ll explore…

Stanford Researchers Develop New Manufacturing Technique For Flexible Electronics

Ultrathin, flexible computer circuits have been an engineering goal for years, but technical hurdles have prevented the degree of miniaturization necessary to achieve high performance. Now, researchers at Stanford University have invented a manufacturing technique that yields flexible, atomically thin transistors less than 100 nanometers in length – several times smaller than previously possible. The technique is detailed in a paper published June 17 in Nature Electronics. Illustration of transfer process for 2D semiconductor with nanopatterned contacts (left) and photograph of flexible transparent substrate with transferred structures (right). (Image credit: Victoria Chen/Alwin Daus/Pop Lab) With the advance, said the researchers, so-called “flextronics” move closer…

Global Study: Adoption of AI Will Fundamentally Change The Next Generation Of Finance Leaders

Employees have been under immense pressure over the past year to help their organizations navigate the crisis, and they’re finding a new ally in robots to help them better manage their companies’ finances. To explore the impact of technology on the future of the finance profession, we partnered with finance expert Farnoosh Torabi to survey more than 9,000 consumers and business leaders across 14 countries. The research found that younger employees are facing intense financial stress and anxiety caused by COVID-19. For example, 97 percent of Gen Z employees say that managing their organization’s finances scares them, and more than…

Quantum Machine Learning Hits A Limit

A new theorem from the field of quantum machine learning has poked a major hole in the accepted understanding about information scrambling. “Our theorem implies that we are not going to be able to use quantum machine learning to learn typical random or chaotic processes, such as black holes. In this sense, it places a fundamental limit on the learnability of unknown processes,” said Zoe Holmes, a post-doc at Los Alamos National Laboratory and coauthor of the paper describing the work published today in Physical Review Letters. “Thankfully, because most physically interesting processes are sufficiently simple or structured so that…

Teaching AI How To Forget At Scale

Every day, we’re inundated with a constant stream of information — most of which we’ll forget. Sure, you can probably remember what you had for breakfast this morning, but what about last year? We often take for granted the ability to forget mundane, day-to-day details to make room for valuable moments that matter in our long-term memory bank. Chances are, you’ll always remember that time your significant other surprised you with heart-shaped pancakes or your favorite bakery on your first trip to Paris. Unlike human memory, most neural networks typically process information indiscriminately. At a small scale, this is functional.…

Flashlight: Fast And Flexible Machine Learning In C++

What it is: Flashlight is a new open source machine learning (ML) library, written entirely in C++, that was built by FAIR to power groundbreaking research by enabling teams to rapidly and easily modify deep and ML frameworks to better fit their needs. Deep and ML frameworks are good at what they do — but altering the internals of these frameworks has traditionally proved difficult. Finding the right code to change is time-consuming and error-prone, as low-level internals can be unintentionally obfuscated, closed-source, or hand-tuned for particular purposes. And once you’ve made changes, recompiling the framework afterward is both time-…

Stanford Researchers Use AI To Empower Environmental Regulators

Like superheroes capable of seeing through obstacles, environmental regulators may soon wield the power of all-seeing eyes that can identify violators anywhere at any time, according to a new Stanford University-led study. The paper, published the week of April 19 in Proceedings of the National Academy of Sciences (PNAS), demonstrates how artificial intelligence combined with satellite imagery can provide a low-cost, scalable method for locating and monitoring otherwise hard-to-regulate industries. “Brick kilns have proliferated across Bangladesh to supply the growing economy with construction materials, which makes it really hard for regulators to keep up with new kilns that are constructed,”…

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