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Category: robotics/AI – Page 1,316

Quantum effects in memristive devices

At the nanoscale, the laws of classical physics suddenly become inadequate to explain the behavior of matter. It is precisely at this juncture that quantum theory comes into play, effectively describing the physical phenomena characteristic of the atomic and subatomic world. Thanks to the different behavior of matter on these length and energy scales, it is possible to develop new materials, devices and technologies based on quantum effects, which could yield a real quantum revolution that promises to innovate areas such as cryptography, telecommunications and computation.

The physics of very small objects, already at the basis of many technologies that we use today, is intrinsically linked to the world of nanotechnologies, the branch of applied science dealing with the control of matter at the nanometer scale (a nanometer is one billionth of a meter). This control of matter at the is at the basis of the development of new electronic devices.

Among these, are considered promising devices for the realization of new computational architectures emulating functions of our brain, allowing the creation of increasingly efficient computation systems suitable for the development of the entire artificial intelligence sector, as recently shown by Istituto Nazionale di Ricerca Metrologica (INRiM) researchers in collaboration with several international universities and research institutes.

WOW! Traveling In The Future Will Be A Delight!

How will transportation look like in the future? In today’s video we take look into the Future of Transportation and explore some amazing technologies that will revolutionize how we travel in the future. There has been no denying that for several years in the past, the world has been undergoing massive changes, thanks to the advancement in technology. However, when it comes to transportation, the changes have not been that large. Transportations method such as cars, trains, ships, and planes have improved somewhat in functionality over time, but since their creation, they have in large part stayed the same.

In this video, we will unveil some amazing future transportation technologies that without a doubt will absolutely blow your mind!

The technologies we look at in today’s video include Earth-to-earth rockets, which will let you travel from one side of the earth to the other in less than 1 hour. This technology utilizes the famous Starship from Elon Musk’s SpaceX. We then move on to Hyperloop Systems, which is a cutting-edge new technology that makes use of a vacuum-sealed tube to send passengers or freight at high speeds. This concept was also introduced by Elon Musk, but through the company ironically named as The Boring Company. Further, we explore Fully Autonomous Vehicles, and in more in depth — into the various level of autonomation available today and what will be there in the future.

The video also covers Flying Taxis and Hypersonic Air Travel. The flying taxis, like the ones being constructed by Volocopter, is a new transportation method that could take the world by storm in the future. The same goes for hypersonic air travel that will let passenger again take to the sky in hypersonic aircraft similar to the Concord in the past, only much safer and considerably faster.

Another transportation technology covered is Magnetic Levitation Trains, which is a type of high-speed ground transportation technology that uses magnetic fields that lets the train levitate and move without making contact with the ground.

#Future #Transporation #Technology.

Continue reading “WOW! Traveling In The Future Will Be A Delight!” | >

Why This Breakthrough AI Now Runs A Nuclear Fusion Reactor | New AI Supercomputer

Deep Learning AI Specialization: https://imp.i384100.net/GET-STARTED
Nuclear fusion researchers have created a machine learning AI algorithm to detect and track the existence of plasma blobs that build up inside the tokamak for prediction of plasma disruption, the diagnosis of plasma using spectroscopy and tomography, and the tracking of turbulence inside of the fusion reactor. New AI supercomputer with over 13.5 million processor cores and over 1 exaflop of compute power made be Cerebras. A new study reveals an innovative neuro-computational model of the human brain which could lead to the creation of conscious AI or artificial general intelligence (AGI).

AI News Timestamps:
0:00 Breakthrough AI Runs A Nuclear Fusion Reactor.
3:07 New AI Supercomputer.
6:19 New Brain Model For Conscious AI

#ai #ml #nuclear

Artificial Neural Networks Learn Better When They Spend Time Not Learning at All

Summary: “Off-line” periods during AI training mitigated “catastrophic forgetting” in artificial neural networks, mimicking the learning benefits sleep provides in the human brain.

Source: UCSD

Depending on age, humans need 7 to 13 hours of sleep per 24 hours. During this time, a lot happens: Heart rate, breathing and metabolism ebb and flow; hormone levels adjust; the body relaxes. Not so much in the brain.

The fastest swimming soft robots look like a butterfly and work like a hair clip

These soft robots can do the butterfly stroke.

A team of scientists at North Carolina State University (NCSU) has developed two butterfly-shaped soft robots capable of swimming at 1.70 and 3.74 body lengths per second (BL/s). They are being referred to as the fastest swimming soft machines in the world because until now, soft robots were known to swim at a maximum speed of one body length per second.

Devrimb/iStock.

One of the authors and the associate professor at NCSU, Jie Yin told IE, “The connection has not been built until my kids went to the swimming school and learned the butterfly stroke. The butterfly stroke is a very fast swimming technique that requires an undulating body and also rotating and flapping arms.”

Waymo To Begin No-Driver Operations with Public In SF; Zoox Accident

The California PUC granted Waymo a permit to operate 24 hours/day in San Francisco taking select members of the public for rides with no safety driver in the vehicle. Waymo says it will begin this shortly. This comes on the heels of them expanding such service in Phoenix, as reported in my article on how the death of self-driving cars has been greatly exaggerated earlier this week.

This service will be with “trusted testers” rather than members of the broad public that can ride in Chandler and Phoenix, Arizona.

Waymo gets a permit to take the public and will start running with trusted testers. They also start in LA and show off their new robotaxi. Cruise also ups its game. Zoox got into an accident but it was in manual. Aurora reminds us they do more than trucks.

New ‘revolutionary’ robotic technology helps both treat and prevent lung cancer in one shot

The patients wake up from anaesthesia with the cancer treated.

There’s a new robotic technology that finds lung cancer early and also has the ability to treat it at the same time, according to a report by CBS Philadelphia.

The American Lung Association’s annual report revealed that lung cancer survival rates are on the rise thanks partially to this new technology. The five-year survival rate is now estimated at 25%.

One example of this success is Kathleen McGinn, who found her cancer early and treated it with the new robotic procedure. “I’m very optimistic for my future,” McGinn told CBS.

“We’re up to 25% survival at five years, which is significantly up from the 17% survival in 2015. We attribute most of this to early detection, better treatments and systemic therapies for patients who have lung cancer that spread to other parts of the body,” said Dr. Bobby Mahajan with the American Lung Association said.

Patients who never smoked.

Continue reading “New ‘revolutionary’ robotic technology helps both treat and prevent lung cancer in one shot” | >

What is GPT-4 (and when?)

Originally published on Towards AI the World’s Leading AI and Technology News and Media Company. If you are building an AI-related product or service, we invite you to consider becoming an AI sponsor. At Towards AI, we help scale AI and technology startups. Let us help you unleash your technology to the masses.

MoMA Installation Marks Breakthrough for AI Art

AI-generated art has arrived.

With a presentation making its debut this week at The Museum of Modern Art in New York City — perhaps the world’s premier institution devoted to modern and contemporary art — the AI technologies that have upended trillion-dollar industries worldwide over the past decade will get a formal introduction.

Created by pioneering artist Refik Anadol, the installation in the museum’s soaring Gund Lobby uses a sophisticated machine-learning model to interpret the publicly available visual and informational data of MoMA’s collection.

Solving brain dynamics gives rise to flexible machine-learning models

Its why we should reverse engineer lab rat brains, crow brains, pigs, and chimps, ending on fully reverse engineering the human brain. even if its a hassle. i still think could all be done by end of 2025.

Last year, MIT researchers announced that they had built “liquid” neural networks, inspired by the brains of small species: a class of flexible, robust machine learning models that learn on the job and can adapt to changing conditions, for real-world safety-critical tasks, like driving and flying. The flexibility of these “liquid” neural nets meant boosting the bloodline to our connected world, yielding better decision-making for many tasks involving time-series data, such as brain and heart monitoring, weather forecasting, and stock pricing.

But these models become computationally expensive as their number of neurons and synapses increase and require clunky computer programs to solve their underlying, complicated math. And all of this math, similar to many , becomes harder to solve with size, meaning computing lots of small steps to arrive at a solution.

Now, the same team of scientists has discovered a way to alleviate this by solving the differential equation behind the interaction of two neurons through synapses to unlock a new type of fast and efficient artificial intelligence algorithms. These modes have the same characteristics of liquid neural nets—flexible, causal, robust, and explainable—but are orders of magnitude faster, and scalable. This type of neural net could therefore be used for any task that involves getting insight into data over time, as they’re compact and adaptable even after training—while many traditional models are fixed.