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Category: robotics/AI – Page 2,024

Simulated AI creatures demonstrate how mind and body evolve and succeed together

Artificial intelligence is often thought of as disembodied: a mind like a program, floating in a digital void. But human minds are deeply intertwined with our bodies — and an experiment with virtual creatures performing tasks in simulated environments suggests that AI may benefit from having a mind-body setup.

Stanford scientists were curious about the physical-mental interplay in our own evolution from blobs to tool-using apes. Could it be that the brain is influenced by the capabilities of the body and vice versa? It has been suggested before — over a century ago, in fact — and certainly it’s obvious that with a grasping hand one learns more quickly to manipulate objects than with a less differentiated appendage.

It’s hard to know whether the same could be said for an AI, since their development is more structured. Yet the questions such a concept brings up are compelling: Could an AI better learn and adapt to the world if it has evolved to do so from the start?

Dr. Arathi Sethumadhavan, PhD — Head of User Research, AI, Ethics & Society, Microsoft’s Cloud+AI

Human Factors, Ethical Artificial Intelligence, And Healthy Aging — Dr. Arathi Sethumadhavan, PhD, Head of User Research, AI, Ethics & Society, Microsoft Cloud+AI.

Dr. Arathi Sethumadhavan, Ph.D. is Head of User Research for AI, Ethics & Society, at Microsoft’s Cloud+AI organization, where she works at the intersection of user research, ethics, and product experience.

In her current role, Dr. Sethumadhavan is focused on the Microsoft AI ethical principles (privacy and consent, fairness, inclusion, accountability, and transparency) as it relates to various Microsoft AI experiences.

Dr. Sethumadhavan is a seasoned research leader, with two decades of experience studying human-technology interaction, and during the course of her career, she has led user research for several novel and complex applications (e.g., Microsoft’s custom neural voice, facial recognition), as well as at Medtronic, where she provided human factors leadership to multiple products in the Cardiac Rhythm and Heart Failure portfolio, including the world’s smallest pacemaker. She has also spent several years investigating the implications of automation on air traffic controller performance and situation awareness.

Dr. Sethumadhavan is also a Fellow at the World Economic Forum, where she is working on unlocking opportunities for positive impact with AI to address the needs of the aging population.

Continue reading “Dr. Arathi Sethumadhavan, PhD — Head of User Research, AI, Ethics & Society, Microsoft’s Cloud+AI” | >

A New MIT Smart Home Robot Will Find Your Lost Car Keys

In a new paper, the researchers explain how the robot can impressively locate and retrieve an item, even if it is covered by other objects and completely out of view of the main camera. All the robot’s owner has to do is attach RFID tags — cheap, battery-free tags that send signals to the antenna — to their valuable possessions.

“This idea of being able to find items in a chaotic world is an open problem that we’ve been working on for a few years. Having robots that are able to search for things under a pile is a growing need in industry today. Right now, you can think of this as a Roomba on steroids, but in the near term, this could have a lot of applications in manufacturing and warehouse environments,” senior author Fadel Adib explained in MIT’s statement.

How You Will Live to 200 Years — New Longevity Technologies

I hope we get the hologram interfaces depicted too.

It’s becoming clear that aging is just as curable as other diseases such as the cold or a broken bone. Advancements in biotechnology now allow for targeted gene therapy and supplements to be invented that can both stop aging and even reverse the aging process through new Longevity Technology. The field of Longevity has expanded and evolved a lot during the past few years and have invented new treatments for diseases of old people which could increase the average lifespan of people by a ton according to the leading scientists such as David Sinclair and Aubrey De Grey. Anti Aging Supplements such as Metformin and NAD+, NMN are just the start.
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Every day is a day closer to the Technological Singularity. Experience Robots learning to walk & think, humans flying to Mars and us finally merging with technology itself. And as all of that happens, we at AI News cover the absolute cutting edge best technology inventions of Humanity.

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TIMESTAMPS:
00:00 A new Benchmark in Longevity.
01:04 Living longer lives today.
03:13 How Genomics will extend our lifespans.
05:19 What are the societal concerns?
07:58 Last Words.
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A framework to enhance deep learning using first-spike times

Researchers at Heidelberg University and University of Bern have recently devised a technique to achieve fast and energy-efficient computing using spiking neuromorphic substrates. This strategy, introduced in a paper published in Nature Machine Intelligence, is a rigorous adaptation of a time-to-first-spike (TTFS) coding scheme, together with a corresponding learning rule implemented on certain networks of artificial neurons. TTFS is a time-coding approach, in which the activity of neurons is inversely proportional to their firing delay.

“A few years ago, I started my Master’s thesis in the Electronic Vision(s) group in Heidelberg,” Julian Goeltz, one of the leading researchers working on the study, told TechXplore. “The neuromorphic BrainScaleS system developed there promised to be an intriguing substrate for brain-like computation, given how its neuron and synapse circuits mimic the dynamics of neurons and synapses in the brain.”

When Goeltz started studying in Heidelberg, deep-learning models for spiking networks were still relatively unexplored and existing approaches did not use spike-based communication between neurons very effectively. In 2,017 Hesham Mostafa, a researcher at University of California—San Diego, introduced the idea that the timing of individual neuronal spikes could be used for information processing. However, the neuronal dynamics he outlined in his paper were still quite different from biological ones and thus were not applicable to brain-inspired neuromorphic hardware.

Neural Magic, which offers software for growing edge AI market, gets $30M boost

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Neural Magic, which provides software to facilitate deep learning deployment in edge locations, today announced a $30 million series A funding round.

The market for edge AI is exploding as more companies deploy the technology in a variety of applications across industries — including in areas like asset maintenance and monitoring, factory automation, and telehealth. The market is expected to be worth $1.83 billion by 2,026 according to a report by Markets and Markets.

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