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Category: robotics/AI

September 14, 2020 — The use of artificial intelligence (AI) in radiology to aid in image interpretation tasks is evolving, but many of the old factors and concepts from the computer-aided detection (CAD) era still remain, according to a Sunday talk at the Conference on Machine Intelligence in Medical Imaging (C-MIMI).

A lot has changed as the new era of AI has emerged, such as faster computers, larger image datasets, and more advanced algorithms — including deep learning. Another thing that’s changed is the realization of additional reasons and means to incorporate AI into clinical practice, according to Maryellen Giger, PhD, of the University of Chicago. What’s more, AI is also being developed for a broader range of clinical questions, more imaging modalities, and more diseases, she said.

At the same time, many of the issues are the same as those faced in the era of CAD. There are the same clinical tasks of detection, diagnosis, and response assessment, as well as the same concern of “garbage in, garbage out,” she said. What’s more, there’s the same potential for off-label use of the software, and the same methods for statistical evaluations.

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When Sartre said hell is other people, he wasn’t living through 2020. Right now, other people are the only thing between us and species collapse. Not just the people we occasionally encounter behind fugly masks—but the experts and innovators out in the world, leading the way. The 17-year-old hacker building his own coronavirus tracker. The Google AI wonk un-coding machine bias. A former IT guy helping his community thwart surveillance. There are people everywhere, in and out … See More.

The scientists, technologists, artists, and chefs who are standing between us and species collapse.

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TLDR: Scroll down to Conclusions.

Elon Musk has recently unveiled his company’s first Neuralink device implanted in an experimental animal — a pig.

To briefly describe the device for those without much technical knowledge, it is an invasive technology based on the concept of a neural lace, which is a mesh of perhaps hundreds of wires laced throughout the brain albeit with concentration of connections in certain areas. These either sample neural patterns or modify them. Needless to say, even the minor technical challenges are massive. For example, it involves brain surgery. Then we have bio-compatibility problems as typically implanted electrodes tend to cause the tissues around them to die back. Finally, actually transferring massive amounts of data through the skull to and from an implanted and (presumably) powered computer. Elon Musk may well be able to solve these problems since they are not new technical challenges and a considerable amount of work has already been done in this area. Even automating the brain surgery may well be feasible using robotics.

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From the Merriam-Webster dictionary:

Avatar derives from a Sanskrit word meaning “descent,” and when it first appeared in English in the late 18th century, it referred to the descent of a deity to the earth — typically, the incarnation in earthly form of Vishnu or another Hindu deity. It later came to refer to any incarnation in human form, and then to any embodiment (such as that of a concept or philosophy), whether or not in the form of a person. In the age of technology, avatar has developed another sense — it can now be used for the image that a person chooses as his or her “embodiment” in an electronic medium.

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San Francisco-based AI research laboratory OpenAI has added another member to its popular GPT (Generative Pre-trained Transformer) family. In a new paper, OpenAI researchers introduce GPT-f, an automated prover and proof assistant for the Metamath formalization language.

While artificial neural networks have made considerable advances in computer vision, natural language processing, robotics and so on, OpenAI believes they also have potential in the relatively underexplored area of reasoning tasks. The new research explores this potential by applying a transformer language model to automated theorem proving.

Automated theorem proving tends to require general and flexible reasoning to efficiently check the correctness of proofs. This makes it an appealing domain for checking the reasoning capabilities of language models and for the study of reasoning in general. The ability to verify proofs also helps researchers as it enables the automatic generation of new problems that can be used as training data.

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In the last video in this series we discussed the differences between deep learning and machine learning, how and when the field of deep learning was officially born, and it’s rise to mainstream popularity. The focus of this video then will be on artificial neural networks, more specifically – their structure.

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The National Science Foundation has awarded a highly competitive $5 million grant to Vanderbilt University that greatly expands a School of Engineering-led project for creating novel AI technology and tools and platforms that train and support individuals with Autism Spectrum Disorder in the workplace.

The significant federal investment follows a successful $1 million, nine-month pilot grant to the same team that forged partnerships with employers and other stakeholders and produced viable prototypes through immersive, human-centric design. The multi-university team includes Yale University, Cornell University, Georgia Institute of Technology and Vanderbilt University Medical Center as academic partners.

The grant, made through NSF’s Convergence Accelerator program, advances the School of Engineering’s focus on Inclusion Engineering,® which uses the disciplines within engineering to broaden meaningful participation for people who have been marginalized.

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Circa 2018 aerodrums.

LAS VEGAS (PRWEB) January 09, 2018.

Aerodrums today celebrates the live playing of an experimental variant of its air drumming instrument as part of a ground breaking musical performance introducing Intel’s keynote at CES 2018.

Percussionist Sergio Carreño accompanied pianist Kevin Doucette in a jazz improvisation featuring artificially intelligent avatars playing guitar and bass.

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