Source: venturebeat.com In a study published this week on the preprint server Arxiv.org, Google and University of California, Berkely researchers propose a framework that combines learning-based perception with model-based controls to enable wheeled robots to autonomously navigate around obstacles. They say it generalizes well to avoiding unseen buildings and humans in both simulation and real-world environments and that it Read More

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Source: iotforall.com A paper published by researchers at Carnegie Mellon University, San Francisco research firm OpenAI, Facebook AI Research, the University of California at Berkeley, and Shanghai Jiao Tong University describes a paradigm that scales up multi-agent reinforcement learning, where AI models learn by having agents interact within an environment such that the agent population increases in Read More

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Source: devclass.com Google AI researchers have looked into ways of making reinforcement learning scale better and improve computational efficiency. The result is called SEED RL and can now be explored via GitHub. SEED stands for scalable, efficient, deep reinforcement learning and describes a “modern RL agent that scales well, is flexible and efficiently utilises available Read More

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Source: nextplatform.com (Sponsored Content) HPC workloads are rapidly moving to the cloud. Market sizing from HPC analyst firm Hyperion Research shows a dramatic 60 percent rise in cloud spending from just under $2.5 billion in 2018 to approximately $4 billion in 2019 and projects HPC cloud revenue will reach $7.4 billion in 2023, a 24.6 percent compound annual Read More

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Source: unite.ai Researchers from Cornell University have created a computer algorithm inspired by the mammalian olfactory system. Scientists have long sought out explanations of how mammals learn and identify smells. The new algorithm provides insight into the workings of the brain, and applying it to a computer chip allows it to quickly and reliably learn Read More

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Source: inc42.com The last decade of tech was to a large part defined by the advent of Deep Supervised Learning (DL). The availability of cheap data at scale, computational power, and researcher interest have made it the de-facto school of algorithms used for most pattern recognition problems. Face recognition on social media, product recommendations on sites, voice Read More

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Source: venturebeat.com One way to test machine learning models for robustness is with what’s called a trojan attack, which involves modifying a model to respond to input triggers that cause it to infer an incorrect response. In an attempt to make these tests more repeatable and scalable, researchers at Johns Hopkins University developed a framework Read More

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Source: sciencenews.org When it comes to identifying scents, a “neuromorphic” artificial intelligence beats other AI by more than a nose. The new AI learns to recognize smells more efficiently and reliably than other algorithms. And unlike other AI, this system can keep learning new aromas without forgetting others, researchers report online March 16 in Nature Machine Read More

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Source: whitehouse.gov Today, researchers and leaders from the Allen Institute for AI, Chan Zuckerberg Initiative (CZI), Georgetown University’s Center for Security and Emerging Technology (CSET), Microsoft, and the National Library of Medicine (NLM) at the National Institutes of Health released the COVID-19 Open Research Dataset (CORD-19) of scholarly literature about COVID-19, SARS-CoV-2, and the Coronavirus group. Requested Read More

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Source: rtinsights.com Almost every update by an operating system provider inevitably comes with new bugs. The recent Windows 10 update, published by Microsoft earlier this week, significantly slowed PC boot time. While most software developers test updates well in advance, publishing it to millions of different machines can lead to significant differences in how the software performs. Read More

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Source: agrinews-pubs.com URBANA, Ill. – With some reports predicting the precision agriculture market will reach $12.9 billion by 2027, there is an increasing need to develop sophisticated data-analysis solutions that can guide management decisions in real time. A new study from an interdisciplinary research group at University of Illinois offers a promising approach to efficiently Read More

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Source: analyticsinsight.net The internet has evolved over the past few decades. Big data was a major concern for many organizations in 2019. An IDG survey found that each company manages 163,000 gigabytes of information. More than 5- percent of businesses use big data analytics. Its practitioners gain knowledge in conferences and different industry events. The Read More

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Source: dqindia.com Artificial intelligence has infiltrated every facet of our lives today. Be it smart devices, automated vehicles, chatbots, or even AI-powered mental health counseling apps, it is difficult not to spot intelligent machines around you. If you have reached this article through a Google search on the law sector, you are using one of Read More

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Source: insights.dice.com Artificial intelligence (A.I) technologies such as computer vision and machine learning are providing new ways to revolutionize learning and skills training at universities. From doctorate degrees in machine learning (ML) to bots that aid the work of teachers, there’s accelerating interest at the college level in A.I. and ML. Research firm TechNavio projects that the A.I. market in education will grow by a compound Read More

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Source: technologytimes.pk In “Learning to Resolve Alliance Dilemmas in Many-Player Zero-Sum Games,” DeepMind — the research division of Alphabet whose work chiefly involves reinforcement learning, an area of AI concerned with how software agents ought to take actions to maximize some reward — introduces an economic competition model with a peer-to-peer contract mechanism that enables the discovery and enforcement Read More

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Source: machinedesign.com Researchers at Columbia Engineering have developed a fully integrated, sensorized robot finger. Until now, touch sensors have been difficult to integrate into robot fingers. Among the challenges were the inability to cover multi-curved surfaces, high wire count and difficulty fitting into small fingertips—all of which prevented applications with dexterous hands. What sets this robot finger Read More

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Source: radiology.ucsf.edu Hip osteoarthritis can be a painful and debilitating condition. Unfortunately, osteoarthritis is a degenerative disease with no cure, as of yet. A long term research goal of the Musculoskeletal Quantitative Imaging Research (MQIR) interdisciplinary group in the UC San Francisco Department of Radiology and Biomedical Imaging, led by Sharmila Majumdar, PhD (director), and Thomas Link, MD, PhD (clinical director), Read More

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Source: eletimes.com Element14, the Development Distributor, has published new research on the Internet of Things (IoT) which confirms strong adoption of Artificial Intelligence (AI) within IoT devices, alongside new insights on key markets, enablers and concerns for design engineers working in IoT. AIoT is the major emerging trend from the survey, demonstrating the beginning of Read More

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Source: nakedsecurity.sophos.com According to its maker, Trifo, the Ironpie home surveillance robot vacuum isn’t just your dust bunnies’ worst nightmare. It also chases intruders away with its “advanced vision system”. Funny thing about that always alert thing. It’s true, the artificial intelligence (AI) -enhanced internet of things (IoT) robot vacuum can indeed be connected to Read More

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Source: techexplorist.com Inverse problems are addressed in numerous areas of physics, with the analytic continuation of the imaginary Green’s function into the real frequency domain being an especially significant example. Be that as it may, the analytic continuation problem is poorly characterized, and presently, no analytic change for unraveling it is known. As a part Read More

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Artificial Intelligence