An innovative method decodes and finds hidden relationships in jointly recorded neural and behavioural data.
Category: robotics/AI – Page 901
Amid all the hype and hysteria about ChatGPT, Bard, and other generative large language models (LLMs), it’s worth taking a step back to look at the gamut of AI algorithms and their uses. After all, many “traditional” machine learning algorithms have been solving important problems for decades—and they’re still going strong. Why should LLMs get all the attention?
Before we dive in, recall that machine learning is a class of methods for automatically creating predictive models from data. Machine learning algorithms are the engines of machine learning, meaning it is the algorithms that turn a data set into a model. Which kind of algorithm works best (supervised, unsupervised, classification, regression, etc.) depends on the kind of problem you’re solving, the computing resources available, and the nature of the data.
In the next section, I’ll briefly survey the different kinds of machine learning and the different kinds of machine learning models. Then I’ll discuss 14 of the most commonly used machine learning and deep learning algorithms, and explain how those algorithms relate to the creation of models for prediction, classification, image processing, language processing, game-playing and robotics, and generative AI.
TerraPower, founded by billionaire and Microsoft co-founder Bill Gates in 2008, is opening a new nuclear power plant in Kemmerer, Wyoming. The plant will be the first of its kind, with the company hoping to revolutionize the nuclear energy industry in the U.S. to help fight climate change and support American energy independence.
“Nuclear energy, if we do it right, will help us solve our climate goals,” Gates told ABC News. “That is, get rid of the greenhouse gas emissions without making the electricity system far more expensive or less reliable.”
Gates met with ABC News’ chief business, economics, and technology correspondent Rebecca Jarvis in Kemmerer to talk about the project.
Shap-E is a model that allows you to generate 3D objects from text, building off OpenAI’s other AI tools.
The Work Trend Index report found that leaders believe analytical judgment, flexibility and emotional intelligence are essential skills for the future of work.
Scientists at UT Austin conducted a study where they created a 3D view of a person’s mind and used artificial intelligence to decode brain activity into dialogue.
» Subscribe to NBC News: http://nbcnews.to/SubscribeToNBC
» Watch more NBC video: http://bit.ly/MoreNBCNews.
NBC News Digital is a collection of innovative and powerful news brands that deliver compelling, diverse and engaging news stories. NBC News Digital features NBCNews.com, MSNBC.com, TODAY.com, Nightly News, Meet the Press, Dateline, and the existing apps and digital extensions of these respective properties. We deliver the best in breaking news, live video coverage, original journalism and segments from your favorite NBC News Shows.
Connect with NBC News Online!
Researchers have engineered a robotic lionfish with synthetic arteries, similar to those found in a human’s circulatory system. The fish “blood” that runs through it serves as both the robot’s power source and controls its movement. The findings, published Wednesday in Nature, may propel the new wave of soft robots, in which inventors seek to improve lifelike automated machines for human connection.
Synthetic blood vessels in a new robotic fish could improve the technology needed to make lifelike robots run longer.
Summary: Researchers have identified spatial and temporal abnormalities in spontaneous fixational saccades as a potential biomarker for cognitive and positive symptoms in schizophrenia. Researchers combined patient data of fixational eye movement recorded over 60 seconds with machine learning technology, which was able to determine schizophrenia with 85% accuracy. This discovery suggests that fixational saccades could serve as an easily obtainable complementary diagnostic tool for the condition.
Source: Chinese Academy of Science.
In a study published online in the Schizophrenia Bulletin, researchers from Dr. Wang Wei’s lab at the Center for Excellence in Brain Science and Intelligence Technology of the Chinese Academy of Sciences, and Dr. Wang Jijun’ team at Shanghai Mental Health Center, Shanghai Jiao Tong University School of Medicine, demonstrated spatial and temporal abnormalities of spontaneous fixational saccades and their correlates with positive and cognitive symptoms in schizophrenia, suggesting that fixational saccades are a promising and easily obtainable biomarker for cognitive and positive symptoms and for complementary diagnosis in schizophrenia.
Easily convert any text into professional presenter-led videos in minutes in any language.
Welcome to Hour One, the world’s fastest-growing AI video maker. We turn text into video to make learning & development more fun & effective. Try now!
With all the controversy surrounding AI art, I’m surprised that NVIDIA is so rarely discussed. Unlike other AI art technologies, NVIDIA facilitates drawing landscapes in an interactive fashion. You sketch out rough blobs and then the AI converts your shapes into rocks, grasses, dirt, trees, and other selectable material types. I think that this kind of tool deserves much more attention since it empowers human artists to create with AI as a partner and gives us more creative control over the final result. Sure, NVIDIA itself is somewhat limited, but the principle of it is very compelling and I can easily envision people developing lots of improved versions that can draw more than just landscapes. I think it is surprising that this kind of approach has not caught on, but perhaps there are economic reasons that I’m not aware of which explain the relative lack of interactive AI art tools.
Use AI to Create Backgrounds Quickly, or Speed up your Concept Exploration.