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Category: robotics/AI – Page 441
In this episode, recorded during last yearâs Abundance360 summit, Ray Kurzweil answers questions from the audience about AI, the future, and how this change will affect all aspects of our society.
Ray Kurzweil, an American inventor and futurist, is a pioneer in artificial intelligence, having contributed significantly to OCR, text-to-speech, and speech recognition technologies. Author of numerous books on AI and the future of technology, heâs received the National Medal of Technology and Innovation, among other honors. At Google, Kurzweil focuses on machine learning and language processing, driving advancements in technology and human potential.
Read his latest book, The Singularity Is Nearer: When We Merge with AI: https://a.co/d/gBB4jel.
Learn more about AbundanceA360 2024 Summit: https://www.abundance360.com/summit.
Basically a full day AI course crammed into 18 mins of drawing & talking. Target audience: Everyone. Covers questions like What is generative AI, how does it work, how do I use it, what are some of the risks & limitations. Also covers things like autonomous agents, the role of us humans, prompt engineering tips, AI-powered product development, origin of ChatGPT, different types of models, and some tips about mindset around this whole thing. Here is the full drawing: https://blog.crisp.se/wp-content/uploâŠ
In a recent study, 151 human participants were pitted against ChatGPT-4 in three tests designed to measure divergent thinking, which is considered to be an indicator of creative thought.
Divergent thinking is characterized by the ability to generate a unique solution to a question that does not have one expected solution, such as âWhat is the best way to avoid talking about politics with my parents?â In the study, GPT-4 provided more original and elaborate answers than the human participants.
The study, âThe current state of artificial intelligence generative language models is more creative than humans on divergent thinking tasks,â was published in Scientific Reports and authored by U of A Ph.D. students in psychological science Kent F. Hubert and Kim N. Awa, as well as Darya L. Zabelina, an assistant professor of psychological science at the U of A and director of the Mechanisms of Creative Cognition and Attention Lab.
In a new study, scientists have been able to leverage a machine learning algorithm to tackle one of the biggest challenges facing cancer researchers â predicting when cancer will resist chemotherapy.
But in what could be a game-changer, scientists at the University of California San Diego School of Medicine revealed today in a study that a high-tech machine learning tool might just figure out when cancer is going to give the cold shoulder to chemotherapy.
Teaming up against cancer
When cells divide, even the cancer ones, they rely on complex molecular machinery that helps them copy their DNA. Chemotherapy drugs usually put a stop to this DNA-copying mechanism, especially in fast-growing tumor cells.
The past decadeâs breathtaking progress in artificial intelligence research saw robots learn to walk and improve image recognition accuracy from 50% to 91%. The prospect of artificial consciousness creates a new urgency for understanding what consciousness is.
Why do I find this so alarming?
ChatGPT-maker OpenAI is looking to fuse its artificial intelligence systems into the bodies of humanoid robots as part of a new deal with robotics startup Figure.
Sunnyvale, California-based Figure announced the partnership Thursday along with $675 million in venture capital funding from a group that includes Amazon founder Jeff Bezos as well as Microsoft, chipmaker Nvidia and the startup-funding divisions of Intel and OpenAI.
Figure is less than two years old and doesnât have a commercial product but is persuading influential tech industry backers to support its vision of shipping billions of human-like robots to the worldâs workplaces and homes.
Back in 2007, statistician Nassim Nicholas Taleb described a âBlack Swanâ as an occurrence that âis an outlier,â meaning it deviates from accepted wisdom. Accordingly, black swans are unanticipated, and uncommon, and can result from geopolitical, economic, or other unanticipated occurrences.
Because of major advances in computing, we can now anticipate, and, with applied risk management, help contain what was described as Black Swan events. So, in effect, with predictive analytical capabilities enabled by artificial intelligence, most Black Swans have now morphed into what is now termed Grey Swan events.
An industry leader in the insurance sector, Aon, defines Black Swan events as unexpected, unanticipated shocks. They depict unexpected but predicted surprises that are known as âGrey Swan events.â Similar to Black Swans, they can have a profound effect.
The AI boom could push us toward more helpful devices, but itâs unclear if it can galvanize mobile sales.