Lifeboat Foundation

Scientists at the UCL Institute for Neurology have developed new tools, based on AI language models, that can characterize subtle signatures in the speech of patients diagnosed with schizophrenia.

The research, published in PNAS, aims to understand how the automated analysis of language could help doctors and scientists diagnose and assess psychiatric conditions.

Currently, psychiatric diagnosis is based almost entirely on talking with patients and those close to them, with only a minimal role for tests such as blood tests and brain scans.

I really am going to watch this. I love Sci-Fi and AI.

Prepare to meet… The Creator.

Continue reading “The Creator: The State of Original Filmmaking in Hollywood” »

This is a scientifically accurate depiction of where a select few sci-fi star systems are in our galaxy. This has been an obsession of mine for the past few months to show this visually and get a feel for where these systems are around the solar system. Also, it should be noted, that the relative positions of the stars are accurate, but their size is not.

Link to the stories I mentioned:
Star Trek: Stellar Cartography — https://amzn.to/3RN4SKz.
Project Hail Mary-https://amzn.to/3RJTzm7
Contact Carl Sagan — https://amzn.to/46oV79W
Flight of the Dragonfly (Rocheworld) Robert L Forward — https://amzn.to/3S541oL

Continue reading “The Locations of Star Trek and Other Sci-Fi in Real Space” »

“We use these probes to fish out molecules of interest in the sample,” says Ivanov. “We know which barcode corresponds to which probe. This allows us to detect whether a molecule is present in solution or not. In a way we are fingerprinting what’s inside the solution.”

“It was the synergy of bringing it all together that makes this work important. This includes the precision with which you sequence, the ability to control the transport of the analyte, and also elements of machine learning to be able to reconstruct the signal.” —Aleksandar Ivanov, professor of chemistry, Imperial College London

Combining DNA bar coding and nanopore sequencing makes for a powerful technique by pairing both selectivity and sensitivity to more effectively screen for diseases, says Edel. “In the context of personalized [medicine] and being able to perform more effective diagnostics and screening, there are two aspects at play. One is getting a better snapshot of a patient by detecting an array of biomarkers. And for some diseases, biomarkers—especially in the early stages—are found at very low concentration. So being able to detect on an individual basis at low concentrations is absolutely critical.”

Geoffrey Hinton hails the benefits of artificial intelligence but also sounds the alarm on such things as autonomous battlefield robots, fake news and unintended bias in employment and policing.

Geoffrey Hinton, who has been called “the Godfather of AI,” sat down with 60 Minutes.

Hinton is a British computer scientist and cognitive psychologist, best known for his work on artificial neural networks — aka the framework for AI. He spent a decade working for Google before leaving in May of this year, citing concerns about the risks of AI.

Continue reading “Godfather of AI tells ‘60 Minutes’ he fears the technology could one day take over humanity” »

OpenAI, the creator of ChatGPT and DALL-E 3 generative AI products, is exploring the possibility of manufacturing its own AI accelerator chips, according to Reuters. Citing anonymous sources, the Reuters report indicates that OpenAI is considering the option due to a shortage of specialized AI GPU chips and the high costs associated with running them.

A new Gartner poll reveals that genAI technology is being deployed by organizations for three key business processes, while a Google Cloud poll shows enthusiasm for AI tools among developers.

A poll of more than 1,400 executive leaders revealed a threefold increase in organizations piloting generative AI (genAI) and more than a doubling of those who have placed the tech into production.

The new Gartner Research survey revealed that 45% of organizations are running genAI pilots, and another 10% have put genAI solutions into production — a significant increase from an earlier poll conducted in March and April 2023, in which only 15% of respondents were piloting generative AI and 4% were in… More.

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With all the generative AI hype swirling among evangelists, one might think that the Fortune 500 is galloping wildly towards putting large language models (LLMs) into production and turning corporate America into one big chatbot. To that, I say: “Whoa, Nelly!” — meaning, think again.

That’s because for all the C-suite executives out there feeling generative AI FOMO and getting pressure from CEOs to move quickly to develop AI-centric strategies, things are actually moving far slower than you might imagine (or AI vendors, who warn companies about falling behind, might want). As I reported back in April, there’s certainly no doubt that executives want to access the power of generative AI, as tools such as ChatGPT continue to spark the public imagination. But a KPMG study of U.S. executives that month found that a solid majority (60%) of respondents said that while they expect generative AI to have enormous long-term impact, they are still a year or two away from implementing their first solution.

Each member works out within a designated station facing wall-to-wall LED screens. These tall screens mask sensors that track both the motions of the exerciser and the gym’s specially built equipment, including dumbbells, medicine balls, and skipping ropes, using a combination of algorithms and machine-learning models.

Once members arrive for a workout, they’re given the opportunity to pick their AI coach through the gym’s smartphone app. The choice depends on whether they feel more motivated by a male or female voice and a stricter, more cheerful, or laid-back demeanor, although they can switch their coach at any point. The trainers’ audio advice is delivered over headphones and accompanied by the member’s choice of music, such as rock or country.

Although each class at the Las Colinas studio is currently observed by a fitness professional, that supervisor doesn’t need to be a trainer, says Brandon Bean, cofounder of Lumin Fitness. “We liken it to being more like an airline attendant than an actual coach,” he says. “You want someone there if something goes wrong, but the AI trainer is the one giving form feedback, doing the motivation, and explaining how to do the movements.”