In the six months since FLI published its open letter calling for a pause on giant AI experiments, we have seen overwhelming expert and public concern about the out-of-control AI arms race — but no slowdown. In this video, we call for U.S. lawmakers to step in, and explore the policy solutions necessary to steer this powerful technology to benefit humanity.
The BBC has blocked the artificial intelligence software behind ChatGPT from accessing or using its content.
The move aligns the BBC with Reuters, Getty Images and other content providers that have taken similar steps over copyright and privacy concerns. Artificial intelligence can repurpose content, creating new text, images and more from the data.
Rhodri Talfan Davies, director of nations at the BBC said the BBC was taking steps to safeguard the interests of licence fee payers as this new technology evolves.
European Defence Agency’s AIDED project demonstrates how AI and unmanned systems can work together to detect explosives and IEDs in Europe.
With the rise of brain-interface technology and artificial intelligence that can imitate brain functions, understanding the nature of consciousness and how it interacts with reality is not just an age-old philosophical question but also a salient challenge for humanity.
Can AI become conscious, and how would we know? Should we incorporate human or animal cells, such as neurons, into machines and robots? Would they be conscious and have subjective experiences? Does consciousness reduce to physicalism, or is it fundamental? And if machine-brain interaction influenced you to commit a crime, or caused a crime, would you be responsible beyond a reasonable doubt? Do we have a free will?
AI and computer science specialist Dr. Mahendra Samarawickrama, winner of the Australian Computer Society’s Information and Communications Technology (ICT) Professional of the year, has applied his knowledge of physics and artificial neural networks to this thorny topic.
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.
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.
