Landmark recommendations on development of artificial intelligence and the future of global health

Science Daily  May 19, 2020 In this review article, a team of researchers in the US (Columbia University, Johns Hopkins University) suggests that AI-driven health interventions fit into four categories relevant to global health researchers: (1) diagnosis, (2) patient morbidity or mortality risk assessment, (3) disease outbreak prediction and surveillance, and (4) health policy and planning. However, much of the AI-driven intervention research in global health does not describe ethical, regulatory, or practical considerations required for widespread use or deployment at scale. Despite the field remaining nascent, AI-driven health interventions could lead to improved health outcomes in Low and Middle […]

Global AI Agenda

MIT Technology Insights  April 22, 2020 This report is part of “The global AI agenda,” a thought leadership program by MIT Technology Review Insights examining how organizations are using AI today and planning to do so in the future. Featuring a global survey of 1,004 AI experts. From China to Japan, Singapore to India, policymakers across Asia have developed national-level plans for how AI can be used to enhance domestic and regional competitiveness, which include public and private sector collaboration. The results of the Asia-Pacific survey underscore the readiness of bringing AI to the fore when it comes down to driving […]

The Army working on a battlefield AI ‘teammate’ for soldiers

FedScoop  February 3, 2020 To provide a more detailed picture of the battlefield for a solider and get them the most critical information researchers at Carnegie Mellon University are working with the Army to develop a system called the Aided Threat Recognition from Mobile Cooperative and Autonomous Sensors (ATR-MCAS), that will scan and classify imagery from sensors that can be mounted on vehicles, aerial coverage and autonomous vehicles to help soldiers recognize incoming threats. Currently the algorithms are being trained on test data. Soldiers will be able to the feed to show desired area of interest or livestream the raw […]

This object-recognition dataset stumped the world’s best computer vision models

MIT News  December 10, 2019 In the real-world object detectors’ performance drops noticeably creating reliability concerns for self-driving cars and other safety-critical systems that use machine vision. A team of researchers (MIT, IBM) created ObjectNet consisting of about 50,000 photos of objects shown tipped on their side, shot at odd angles, and displayed in clutter-strewn rooms and it contains no training images. When leading object-detection models were tested on ObjectNet, their accuracy rates fell from a high of 97 percent on ImageNet to just 50-55 percent. The researchers hope that the new dataset will result in robust computer vision without […]

AI learns to design

Science Daily  November 6, 2019 A team of researchers in the US (Carnegie Mellon University, Pennsylvania State University) has implemented a two-step framework that learns to imitate human design strategies from observation to generate designs without any explicit information about objective and performance metrics. It is trained to imitate a set of human designers by observing their design state sequences without inducing problem-specific modeling bias or extra information about the problem. It is designed to interact with the problem through a visual interface as humans did when solving the problem. The designs generated by a computational team of these agents […]

AI Faces Speed Bumps and Potholes on Its Road From the Research Lab to Everyday Use

IEEE Spectrum  October 1, 2019 According to panelists wrapping up a day of discussions at the IEEE AI Symposium 2019, implementing machine learning in the real world isn’t easy. The tools are available and the road is well-marked—but the speed bumps are many. As the field is changing rapidly – there are new language models coming out every month, and new tools and the foundational elements are shifting so rapidly there aren’t any true experts at this point. And then there is the decision of where exactly machine learning should happen—on site, or in the cloud? Data scientists are building […]

Is AI the next big climate-change threat? We haven’t a clue

MIT Technology Review  July 29, 2019 Some predict that in the absence of significant innovation in materials, chip manufacturing and design, data centers’ AI workloads could account for a tenth of the world’s electricity usage by 2025 while others expect data center energy consumption to remain relatively flat over the next few years, in spite of a spike in AI-related activity. These widely diverging predictions highlight the uncertainty around AI’s impact on the future of large-scale computing and the ultimate implications for energy demand. But pessimistic forecasts ignore several important developments that could limit AI’s power grab. One of them […]

China has started a grand experiment in AI education. It could reshape how the world learns.

MIT Technology Review  August 2, 2019 According to one estimate, China led the way investing over $1 billion globally last year in AI education. Tech giants, startups, and education incumbents have all jumped in. Tens of millions of students now use some form of AI to learn. Three things have fueled China’s AI education boom. The first is tax breaks and other incentives for AI ventures, academic competition in China is fierce and Chinese entrepreneurs have masses of data at their disposal to train and refine their algorithms. Squirrel, one of the largest AI education companies in China, also opened […]

How a century-old tech giant is making a comeback with AI

MIT Technology Review   June 13, 2019 IBM relies on its research division with 3,000 researchers distributed across 12 locations, to stay on top of trends in emerging technology. For decades now, the company has engaged in an annual global technology outlook (GTO) process to create and adapt business units in light of what’s on the horizon. They decided AI is one of these technologies that’s on an exponential curve. Two years ago, IBM established the MIT-IBM Watson AI Lab. This collaboration has focused IBM research again on solving significant basic-science problems in AI…read more

What you may not understand about China’s AI scene

MIT Technology Review  April , 2019 Most Chinese researchers can read English, and nearly all major research developments in the Western world are immediately translated into Chinese, but the reverse is not true. Therefore, the Chinese research community has a much deeper understanding than the English-speaking one of what’s happening on both sides of the aisle. As China’s AI industry continues to grow, this could prove a major disadvantage for people in the West. Westerners have a hyped-up view of China’s AI capabilities. Westerners also lack a genuine understanding of the technical skills and capacity of Chinese companies. A few […]