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Intel AI Team Proposes A Novel Machine Learning (ML) Technique, ‘Multiagent Evolutionary Reinforcement Learning (MERL)’ For Teaching Robots Teamwork

Reinforcement learning is an interesting area of machine learning (ML) that has advanced rapidly in recent years. AlphaGo is one such RL-based computer program that has defeated a professional human Go player, a breakthrough that experts feel was a decade ahead of its time.

Reinforcement learning differs from supervised learning because it does not need the labelled input/output pairings for training or the explicit correction of sub-optimal actions. Instead, it investigates how intelligent agents should behave in a particular situation to maximize the concept of cumulative reward.

This is a huge plus when working with real-world applications that don’t come with a tonne of highly curated observations. Furthermore, when confronted with a new circumstance, RL agents can acquire methods that allow them to behave even in an unclear and changing environment, relying on their best estimates at the proper action.

‘Just Get Me a Box’: Inside the Brutal Realities of Supply Chain Hell

We need robots as workers it would speed up things maybe a thousand fold. Humans are not made for the grueling labor that robots can do easily. Unless we give workers like ironman suits humans do better work as coders or the ones repairing the machines.


Logistics managers are battling the pandemic, a labor shortage, and huge demand to get goods to your front door.

US Navy, Boeing conduct first-ever refueling between unmanned tanker, F-35C

“Once operational, the MQ-25 will refuel every receiver-capable platform including E-2,” Reed said in a separate news release on the August flight test between T1 and the Navy’s Air Test and Evaluation Squadron Two Zero (VX) 20. “This flight keeps us on a fast track to getting the Stingray out to the fleet where its refueling capability will greatly increase the range and operational flexibility of the carrier air wing and strike group.”

The first aerial refueling test was conducted on June 4, when an F/A-18E-F Super Hornet refueled in air with the unmanned tanker for the first time in naval aviation history. In this first in-air encounter with the drone, a Super Hornet approached to take measurements, made several “dry connects” to practice connecting and detaching from the tanker, and made two actual refuelings, with 300 pounds and then 25 pounds of fuel being passed from the Stingray to the Super Hornet at different altitudes and flying conditions.

Last month, the Navy and Boeing conducted in a virtual environment the first manned-unmanned teaming event between the Stingray and a Super Hornet, where the manned jet bypassed the ground control station and communicated directly with the tanker drone to give directions on where and when to rendezvous for a refueling.

The Pentagon Wants to Launch a Nuclear Thermal Rocket in 4 Years

The spacecraft will provide fast transport between Earth and the moon—and beyond.


Picture this: World War III is just hours away. In the cold vastness of space, enemy robotic spacecraft are slowly adjusting their orbits and preparing to launch a surprise attack on the U.S.’s fleet of satellites. The uncrewed craft, with robotic arms strong enough to disable a satellite, are creeping up on American spacecraft, about to deal a knockout blow to the U.S. military.

But down on Earth, U.S. Space Force guardians have been keeping track of the assassin craft, knowing that in order to present as low a profile target as possible, they have just enough fuel for one attack. At the last minute, after the enemy satellites have committed to attack, the command activates the nuclear thermal propulsion (NTP) engines on the American satellites, quickly boosting them into a higher orbit and safely out of range.

M2NS tech will use robotic arms to autonomously neutralize sea mines

It goes without saying that the neutralizing of underwater mines is a dangerous task – definitely one that you’d avoid sending a scuba diver to do, if at all possible. That’s why Pittsburgh-based RE2 Robotics is designing a robotic system to do the job.

Drawing on a US$9.5-million contract recently awarded by the US Office of Naval Research (ONR), RE2 will act as the systems integrator for the autonomous robotic Maritime Mine Neutralization System (M2NS).

In a nutshell, that system will consist of a set of RE2’s Sapien Sea Class robotic arms, mounted on a Defender ROV (remotely operated vehicle) manufactured by Pennsylvania-based VideoRay. M2NS will also incorporate RE2’s Detect computer vision software for locating mines, and its Intellect autonomy software for placing “neutralizing devices” on them.

OpenAI Codex: Just Say What You Want! 🤖

I predicted that by 2030 you would be able to tell an AI assistant to build brand new books, movies, TV, video games, etc… on demand. That has now arrived, although in its Very Early stages. Look forward to building whatever media you want, or changing existing media into whatever you want.

“OpenAI Codex: Just Say What You Want!”


❤️ Check out Perceptilabs and sign up for a free demo here: https://www.perceptilabs.com/papers.

📝 The paper “Evaluating Large Language Models Trained on Code” is available here:
https://openai.com/blog/openai-codex/

Codex tweet/application links:

How AI Will Completely Change The Way We Live in the Next 20 Years

Artificial intelligence (AI) could be the most transformative technology in the history of mankind—and we may not even see much of this sweeping change coming. That’s because we often overestimate what technologies can do in five years, and underestimate what they will be able to do in 20.

As I’ve traveled the world talking about this subject, I’m constantly asked, “what will the future hold for humans and AI?” This is an essential question for this moment in history. Some believe that we’re in the midst of an “AI bubble” that will eventually pop, or at least cool off. Those with more drastic and dystopian views believe everything from the notion that AI giants will “hijack our minds” and form a utopian new race of “human cyborgs”, to the arrival of an AI-driven apocalypse. Each of these projections may be born out of genuine curiosity or understandable fear, but they are usually speculative or exaggerated. They miss the complete picture.

Speculation varies wildly because AI appears complex and opaque and it is no wonder that the general view about AI has turned cautious—and even negative. To be sure, aspects of AI development deserve our scrutiny and caution, but it is important to balance these concerns with exposure to the full picture of this crucially important technology’s potential. AI, like most technologies, is inherently neither good nor evil. And I believe that, like most technologies, AI will eventually produce more positive than negative impacts in our society.

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