Stanford Researchers develop Lab-on-a-chip That Turns Blood Test Snapshots Into Continuous Movies

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Stanford Researchers Harness Satellite Imagery And AI To Help Fight Poverty In Africa

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Among the thousands of programming languages in existence are hundreds of “domain-specific languages” (DSLs) that have been adapted from traditional languages so that non-programmers can do their work more efficiently. DSLs are used in a wide range of fields, from web development (HTML) and database management (SQL) to genetics and machine learning (TensorFlow). One challenge …

Making sense of vast streams of big data is getting easier, thanks to an artificial-intelligence tool developed at Los Alamos National Laboratory. SmartTensors sifts through millions of millions of bytes of diverse data to find the hidden features that matter, with significant implications from health care to national security, climate modeling to text mining, and …

Sankara Eye Foundation and Singapore-based Leben Care are deploying a comprehensive retina risk assessment software-as-a-service platform in India. Netra.AI, the cloud-based artificial intelligence (AI) solution, is powered by Intel® technology and uses deep learning to identify retinal conditions in a short span of time with the accuracy level of human doctors. Netra.AI can accurately identify diabetic retinopathy (DR), …

The perils of machine learning – using computers to identify and analyze data patterns, such as in facial recognition software – have made headlines lately. Yet the technology also holds promise to help enforce federal regulations, including those related to the environment, in a fair, transparent way, according to a new study by Stanford researchers. …

Rackspace Technology, a leading end-to-end multicloud technology solutions company, today announced the successful completion of a major artificial intelligence (AI) and machine learning (ML) capabilities initiative for Sentrics, the company revolutionizing the future of senior living. The implementation enables voice control in Sentrics’ Engage360 application, enhancing hands-free capabilities that will benefit the company’s senior care …

In the era of social distancing, using robots for some health care interactions is a promising way to reduce in-person contact between health care workers and sick patients. However, a key question that needs to be answered is how patients will react to a robot entering the exam room. Researchers from MIT and Brigham and …

Imagine a robot. Perhaps you’ve just conjured a machine with a rigid, metallic exterior. While robots armored with hard exoskeletons are common, they’re not always ideal. Soft-bodied robots, inspired by fish or other squishy creatures, might better adapt to changing environments and work more safely with people. Roboticists generally have to decide whether to design …

New work by computer scientists at Lawrence Livermore National Laboratory (LLNL) and IBM Research on deep learning models to accurately diagnose diseases from X-ray images with less labeled data won the Best Paper award for Computer-Aided Diagnosis at the SPIE Medical Imaging Conference on Feb. 19. The technique, which includes novel regularization and “self-training” strategies, …

If you’ve ever swatted a mosquito away from your face, only to have it return again (and again and again), you know that insects can be remarkably acrobatic and resilient in flight. Those traits help them navigate the aerial world, with all of its wind gusts, obstacles, and general uncertainty. Such traits are also hard …

  In today’s fast-paced world, there is often a need for instantaneous, real-time responses. Companies are finding the computing needed to support this 24/7 mentality generates staggering amounts of data, often from devices out in the physical world. This influences a shift in priorities as companies look for technology that gives them the flexibility to …