As the use and development of artificial intelligence continues to grow, the University of Pennsylvania wants to train students to become leaders in the space.
Category: robotics/AI – Page 450
https://music.youtube.com/watch?v=n_LefGJgOJ8&si=UoInnL8Xy_wsXv_
Currently listening to this. He’s pretty decent, up there with Dr Daniel Amen in advancement/ideas. I barely started this episode but it seems AI can help in medicine and there’s more in this podcast concerning our personal health. This is some key issues for longevity.
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View the Show Notes For This Episode: https://bit.ly/ep-855
This isn’t rocket science it’s neuroscience.
Ever since the dawn of antiquity, people have strived to improve their cognitive abilities. From the advent of the wheel to the development of artificial intelligence, technology has had a profound leverage on civilization. Cognitive enhancement or augmentation of brain functions has become a trending topic both in academic and public debates in improving physical and mental abilities. The last years have seen a plethora of suggestions for boosting cognitive functions and biochemical, physical, and behavioral strategies are being explored in the field of cognitive enhancement. Despite expansion of behavioral and biochemical approaches, various physical strategies are known to boost mental abilities in diseased and healthy individuals. Clinical applications of neuroscience technologies offer alternatives to pharmaceutical approaches and devices for diseases that have been fatal, so far. Importantly, the distinctive aspect of these technologies, which shapes their existing and anticipated participation in brain augmentations, is used to compare and contrast them. As a preview of the next two decades of progress in brain augmentation, this article presents a plausible estimation of the many neuroscience technologies, their virtues, demerits, and applications. The review also focuses on the ethical implications and challenges linked to modern neuroscientific technology. There are times when it looks as if ethics discussions are more concerned with the hypothetical than with the factual. We conclude by providing recommendations for potential future studies and development areas, taking into account future advancements in neuroscience innovation for brain enhancement, analyzing historical patterns, considering neuroethics and looking at other related forecasts.
Keywords: brain 2025, brain machine interface, deep brain stimulation, ethics, non-invasive and invasive brain stimulation.
Humans have striven to increase their mental capacities since ancient times. From symbolic language, writing and the printing press to mathematics, calculators and computers, mankind has devised and employed tools to record, store, and exchange thoughts and to enhance cognition. Revolutionary changes are occurring in the health care delivery system as a result of the accelerating speed of innovation and increased employment of technology to suit society’s evolving health care needs (Sullivan and Hagen, 2002). The aim of researchers working on cognitive enhancement is to understand the neurobiological and psychological mechanisms underlying cognitive capacities while theorists are rather interested in their social and ethical implications (Dresler et al., 2019; Oxley et al., 2021).
Researchers at the University of Pennsylvania have developed a new computer chip that uses light instead of electricity. This could improve the training of artificial intelligence (AI) models by improving the speed of data transfer and, more efficiently, reducing the amount of electricity consumed.
Humanity is building the exascale supercomputers today that can carry out a quintillion computations per second. While the scale of the computation may have increased, computing technology is still working on the principles that were first used in the 1960s.
Researchers have been working on developing computing systems based on quantum mechanics, too, but these computers are at least a few years from becoming widely available if not more. The recent explosion of AI models in technology has resulted in a demand for computers that can process large sets of information. The inefficient computing systems, though, result in high consumption of energy.
Plus Waymo issues the first recall of its self-driving cars and BYD could be coming to North America.
OpenAI released its premier AI text-to-video generator, and the results are as incredible as they are concerning.
A comprehensive analysis of the top conversational artificial intelligence platforms
PALO ALTO, Calif., Feb. 14, 2024 /PRNewswire/ — In the dynamic landscape of AI-powered content generation, OpenAI stands at the forefront of Artificial General Intelligence (AGI) research. However, the primary purpose of products such as GPT-4 is to act as a productivity aid, for tasks such as coding. In addition, access to the best such models is often restricted by paywalls. These limitation have led to the growing popularity of other platforms which are primarily focused on providing Generative AI for consumers.
DUBAI, United Arab Emirates — DUBAI, United Arab Emirates (AP) — The CEO of ChatGPT-maker OpenAI said Tuesday that the dangers that keep him awake at night regarding artificial intelligence are the “very subtle societal misalignments” that could make the systems wreak havoc.
Sam Altman, speaking at the World Governments Summit in Dubai via a video call, reiterated his call for a body like the International Atomic Energy Agency to be created to oversee AI that’s likely advancing faster than the world expects.
“There’s some things in there that are easy to imagine where things really go wrong. And I’m not that interested in the killer robots walking on the street direction of things going wrong,” Altman said. “I’m much more interested in the very subtle societal misalignments where we just have these systems out in society and through no particular ill intention, things just go horribly wrong.”
University of Pennsylvania engineers have developed a new chip that uses light waves, rather than electricity, to perform the complex math essential to training AI. The chip has the potential to radically accelerate the processing speed of computers while also reducing their energy consumption.
The silicon-photonic (SiPh) chip’s design is the first to bring together Benjamin Franklin Medal Laureate and H. Nedwill Ramsey Professor Nader Engheta’s pioneering research in manipulating materials at the nanoscale to perform mathematical computations using light—the fastest possible means of communication—with the SiPh platform, which uses silicon, the cheap, abundant element used to mass-produce computer chips.
The interaction of light waves with matter represents one possible avenue for developing computers that supersede the limitations of today’s chips, which are essentially based on the same principles as chips from the earliest days of the computing revolution in the 1960s.