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Many say that human beings have destroyed our planet. Because of this these people are endeavoring to save it through the help of artificial intelligence. Famine, animal extinction, and war may all be preventable one day with the help of technology.

The Age of A.I. is a 8 part documentary series hosted by Robert Downey Jr. covering the ways Artificial Intelligence, Machine Learning and Neural Networks will change the world.

0:00 Poached.
8:32 Deploying Cameras.
11:47 Avoiding Mass Extinction.
23:04 Plant Based Food.
26:16 Protecting From Nature.
36:06 Preventing Calamity.
41:41 DARPA

We have always wondered whether other intelligent life exists in this galaxy, but for the first time we have the technology to help answer that question. With artificial intelligence, researchers have renewed the hunt for alien life in space and also begun to wonder if an entirely new life form has been born on earth.

The Age of A.I. is a 8 part documentary series hosted by Robert Downey Jr. covering the ways Artificial Intelligence, Machine Learning and Neural Networks will change the world.

0:00 Looking For Alien Life.
4:23 SETI
10:52 Time Traveling.
15:25 Inner Life.
21:21 A-I-A-I-O
25:13 Ethical Challenges.
27:52 Alien Pulses.
32:12 What’s Next

We are at the dawn of a new age and the implications of AI technology for humans are almost unimaginable. Welcome to The Age of AI.

Robert Downey Jr. hosts a brand new YouTube Originals series — The Age of AI. Discover the most innovative and leading technologies that will change the world forever.

Technology is moving faster than ever, and it’s taking less time to be widely adopted. Join host Rober Downey Jr. to explore the depths of this fascinating, gripping technology.

Researchers from Santa Clara University, New Jersey Institute of Technology and the University of Hong Kong have been able to successfully teach microrobots how to swim via deep reinforcement learning, marking a substantial leap in the progression of microswimming capability.

There has been tremendous interest in developing artificial microswimmers that can navigate the world similarly to naturally-occuring swimming microorganisms, like bacteria. Such microswimmers provide promise for a vast array of future biomedical applications, such as targeted drug delivery and microsurgery. Yet, most artificial microswimmers to date can only perform relatively simple maneuvers with fixed locomotory gaits.

The artificial intelligence-powered swimmer switches between different modes of locomotory gaits (color-coded) autonomously in tracing a complex trajectory ‘SWIM’. (Image: Commun. Phys., 5,158 (2022))

Are gas stations doomed in the long run, or is there an opportunity to reinvent them as a fast-charging destination stop for EV drivers?

Germany-based global ultrafast EV charging technology company ADS-TEC Energy sees the rise of EVs as a new opportunity for gas stations. Electrek spoke with John Tuccillo, global head of corporate and government affairs for ADS-TEC Energy, about what the reinvention of gas stations into superfast EV charging stations would look like and what it would take to make that happen.

Electrek: As we move to vehicle electrification, what do you think will happen to gas stations, and what are the challenges that gas stations face?

This post is also available in: he עברית (Hebrew)

The World Meteorological Organization (WMO) states that there’s a 93 percent chance that one year between now and 2026 will be the hottest on record. Not only will these record high temperatures have an impact on our environment and lives, but they are also expected to change the way in which we safeguard technology. For example, how do you cool data centers while the outside temperature keeps getting higher and higher?

This problem has been discussed previously before due to several failings of data centers around the world caused by cooling failures. That weather shift will have an impact on all human-made infrastructure—including the data centers that keep our planet’s collective knowledge online. According to wired.com, 45 percent of US data centers have experienced an extreme weather event that threatened their ability to operate.

In the two decades since short-baseline neutrino anomalies were first discovered, scientists have come up with several guesses about what might cause discrepancies.


Of all the known elementary particles, neutrinos probably give physicists the most headaches.

These tiny fundamental bits of matter are the second most common particle in the universe yet are anything but ordinary. Since their discovery, they have taunted scientists with bizarre behaviors, some of which physicists have yet to comprehend.

One source of confusion has showed up in the results from short-distance neutrino experiments, in which neutrinos are measured after traveling somewhere between a few meters and a kilometer. When scientists measure neutrinos in these experiments, the results don’t always match their predictions. Sometimes there are too many of certain types of neutrinos, while in others there are too few.

Analysing pendulum videos, the artificial intelligence tool identified variables not present in current mathematics.


An artificial intelligence tool has examined physical systems and not surprisingly, found new ways of describing what it found.

How do we make sense of the universe? There’s no manual. There’s no prescription.

At its most basic, physics helps us understand the relationships between “observable” variables – these are things we can measure. Velocity, energy, mass, position, angles, temperature, charge. Some variables like acceleration can be reduced to more fundamental variables. These are all variables in physics which shape our understanding of the world.

When users want to send data over the internet faster than the network can handle, congestion can occur—the same way traffic congestion snarls the morning commute into a big city.

Computers and devices that transmit data over the internet break the data down into smaller packets and use a special algorithm to decide how fast to send those packets. These control algorithms seek to fully discover and utilize available network capacity while sharing it fairly with other users who may be sharing the same network. These algorithms try to minimize delay caused by data waiting in queues in the network.

Over the past decade, researchers in industry and academia have developed several algorithms that attempt to achieve high rates while controlling delays. Some of these, such as the BBR algorithm developed by Google, are now widely used by many websites and applications.