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Category: robotics/AI – Page 1,235

OpenAI: Sarah Silverman and others launch lawsuits over alleged copyright violation concerns

This segment originally aired on July 10, 2023.
Yahoo Finance Tech Editor Dan Howley reports on lawsuits against OpenAI regarding copyright law violations including Sarah Silverman and others.

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From Sci-Fi to Reality: Addressing AI Risks — with David Brin

AI had its nuclear bomb threshold. The biggest thing that happens to human technology maybe since the splitting of the atom.

A conversation with Science Fiction author and a NASA consultant David Brin about the existential risks of AI and what approach we can take to address these risks.

David Brin’s advice for new authors.
http://www.davidbrin.com/advice.htm.

David Brin’s new WIRED article appraises the chances (nil) of an ‘AI moratorium.’ It then breaks down the three standard ‘AI-formats’ implicitly assumed by almost everyone in the field – corporate puppet, invasive blob, or ‘Skynet’. Formats that can only lead to disaster.
He propose instead a 4th — that AI entities just might be held accountable if they have individuality… even ‘soul’… https://www.wired.com/story/give-ever… Brin’s related NEWSWEEK op-ed (June’22) dealt with ‘empathy bots” that feign sapience. https://www.newsweek.com/soon-humanit… Here also is a YouTube pod where I give an expanded version: • AI is Alive! Or i… Here’s how all those fervid calls for an “AI moratorium” are doomed to fail. https://davidbrin.blogspot.com/2023/0… David Brin’s website http://www.davidbrin.com David Brin latest book VIVID TOMORROWS: Science Fiction and Hollywood — http://www.davidbrin.com/vividtomorro… David Brin’s blog (Contrary Brin blog) http://davidbrin.blogspot.com/ Links: Quora blog: https://spacefaringcivilization.quora… Amazon Author page: http://amazon.com/author/ronfriedman My Website: https://ronsfriedman.wordpress.com/ Subscribe to my mailing list: https://ronsfriedman.wordpress.com/su… How to support the channel: Get $5 in NDAX (Canadian Crypto Exchange): https://refer.ndax.io/vm1j Buy Escape Velocity short stories collection: Support with Ethereum or Plygon donation: sciandscifi.nft.
https://www.wired.com/story/give-every-ai-a-soul-or-else/

David Brin’s related NEWSWEEK op-ed (June’22) dealt with ‘empathy bots” that feign sapience.

Continue reading “From Sci-Fi to Reality: Addressing AI Risks — with David Brin” | >

Researchers develop self-sensing electric artificial muscles

In a study published recently in Advanced Intelligent Systems, researchers from Queen Mary University of London have made significant advancements in the field of bionics with the development of a new type of electric variable-stiffness artificial muscle that possesses self-sensing capabilities. This innovative technology has the potential to revolutionize soft robotics and medical applications.

Muscle contraction hardening is not only essential for enhancing strength but also enables rapid reactions in living organisms. Taking inspiration from nature, the team of researchers at QMUL’s School of Engineering and Materials Science has successfully created an artificial muscle that seamlessly transitions between soft and hard states while also possessing the remarkable ability to sense forces and deformations.

Dr. Ketao Zhang, a Lecturer at Queen Mary and the lead researcher, explains the importance of variable stiffness technology in artificial muscle-like actuators. “Empowering robots, especially those made from flexible materials, with self-sensing capabilities is a pivotal step towards true bionic intelligence,” says Dr. Zhang.

Actors say Hollywood studios want their AI replicas — for free, forever

During today’s press conference in which Hollywood actors confirmed that they were going on strike, Duncan Crabtree-Ireland, SAG-AFTRA’s chief negotiator, revealed a proposal from Hollywood studios that sounds ripped right out of a Black Mirror episode.

In a statement about the strike, the Alliance of Motion Picture and Television Producers (AMPTP) said that its proposal included “a groundbreaking AI proposal that protects actors’ digital likenesses for SAG-AFTRA members.”

Researchers demonstrate the power of quantum computing in drug design

Gero, an AI-driven biotech focused on aging and longevity, has demonstrated the feasibility of applying quantum computing for drug design and generative chemistry, which now offers significant promise for the future of healthcare. The research, published in Scientific Reports, outlines how a hybrid quantum-classical machine-learning model was used to interface between classical and quantum computational devices with the goal of generating novel chemical structures for potential drugs—an industry first.

The research paper follows in the wake of recent advancements from Gero, which sparked vigorous discussion among longevity experts in the when a story was published in Popular Mechanics that asserted humans can stop—but not fully reverse—aging. Earlier this year, Gero announced a target discovery deal with Pfizer, whereby Gero’s machine-learning technology platform is being applied to discover potential therapeutic targets for fibrotic diseases using large-scale human data.

In this new line of research, the team explored whether a hybrid generative AI system—a deep neural network working in conjunction with commercially available quantum hardware—could suggest unique chemical structures that are synthetically feasible and possess drug-like properties.

Machine learning-based guilt detection in text

We introduce a novel Natural Language Processing (NLP) task called guilt detection, which focuses on detecting guilt in text. We identify guilt as a complex and vital emotion that has not been previously studied in NLP, and we aim to provide a more fine-grained analysis of it. To address the lack of publicly available corpora for guilt detection, we created VIC, a dataset containing 4,622 texts from three existing emotion detection datasets that we binarized into guilt and no-guilt classes. We experimented with traditional machine learning methods using bag-of-words and term frequency-inverse document frequency features, achieving a 72% f1 score with the highest-performing model. Our study provides a first step towards understanding guilt in text and opens the door for future research in this area.

Generative AI ‘fools’ scientists with artificial data, bringing automated data analysis closer

The same AI technology used to mimic human art can now synthesize artificial scientific data, advancing efforts toward fully automated data analysis.

Researchers at the University of Illinois Urbana-Champaign have developed an AI that generates artificial data from microscopy experiments commonly used to characterize atomic-level material structures. Drawing from the technology underlying art generators, the AI allows the researchers to incorporate and experimental imperfections into the generated data, allowing material features to be detected much faster and more efficiently than before.

The study, “Leveraging generative adversarial networks to create realistic scanning transmission electron microscopy images,” was published in the journal npj Computational Materials.

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