Facebook AI’s Co-teaching Program To Increase Pathways Into AI For Diverse Candidates
AI is doing tremendous things for our world, like detecting diseases, changing transportation, and helping people connect, but it still has a lot to learn. The more AI learns, the better it will understand the world around us. But equally important is who teaches it: If AI learns from only a small group of people, …
Stanford Materials Scientists Borrow Solar Panel Tech To Create New Ultrahigh-res OLED Display
Repurposed solar panel research could be the foundation for a new ultrahigh-resolution microdisplay. The OLED display would feature brighter images with purer colors and more than 10,000 pixels per inch. By expanding on existing designs for electrodes of ultra-thin solar panels, Stanford researchers and collaborators in Korea have developed a new architecture for OLED – …
Electronic Design Tool Morphs Interactive Objects
We’ve come a long way since the first 3-D printed item came to us by way of an eye wash cup, to now being able to rapidly fabricate things like car parts, musical instruments, and even tissues and organoids. While much of these objects can be freely designed and quickly made, the addition of electronics to embed things …
Intel Powers First Satellite With AI On Board
As ubiquitous as artificial intelligence has become in modern life — from boosting our understanding of the cosmos to surfacing entertaining videos on your phone — AI hasn’t yet found its way into orbit. That is until Sept. 2, when an experimental satellite about the size of a cereal box was ejected from a …
Building Dynamic Machine Learning Pipelines With KubeDirector
Imagine that you’re a data scientist who’s been asked to create an application or service that can predict travel time for a proposed taxi ride. The application needs to have the ability to update the service with new data as it becomes available, so its predictions take recent patterns into account. In this tutorial, we’ll …
AI Gets A Boost Via LLNL, SambaNova Collaboration
Lawrence Livermore National Laboratory (LLNL) has installed a state-of-the-art artificial intelligence (AI) accelerator from SambaNova Systems, the National Nuclear Security Administration (NNSA) announced today, allowing researchers to more effectively combine AI and machine learning (ML) with complex scientific workloads. LLNL has begun integrating the new AI hardware, SambaNova Systems DataScale™, into the NNSA’s Corona supercomputing cluster, an 11-plus petaFLOP machine …
The First AI Model That Translates 100 Languages Without Relying On English Data
Facebook AI is introducing, M2M-100 the first multilingual machine translation (MMT) model that translates between any pair of 100 languages without relying on English data. It’s open sourced here. When translating, say, Chinese to French, previous best multilingual models train on Chinese to English and English to French, because English training data is the most widely available. Our …
Lending DocAI Fast Tracks The Home Loan Process
Artificial intelligence (AI) continues to transform industries across the globe, and business decision makers of all kinds are taking notice. One example is the mortgage industry; lending institutions like banks and mortgage brokers process hundreds of pages of borrower paperwork for every loan – a heavily manual process that adds thousands of dollars to the …
How To Create And Deploy A Model Card In The Cloud With Scikit-Learn
Machine learning models are now being used to accomplish many challenging tasks. With their vast potential, ML models also raise questions about their usage, construction, and limitations. Documenting the answers to these questions helps to bring clarity and shared understanding. To help advance these goals, Google has introduced model cards. Model cards aim to provide a …
Machine Learning Uncovers Potential New TB Drugs
Machine learning is a computational tool used by many biologists to analyze huge amounts of data, helping them to identify potential new drugs. MIT researchers have now incorporated a new feature into these types of machine-learning algorithms, improving their prediction-making ability. Using this new approach, which allows computer models to account for uncertainty in the …