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Category: robotics/AI

The existential threat of COVID-19 has highlighted an acute need to develop working therapeutics against emerging health threats. One of the luxuries deep learning has afforded us is the ability to modify the landscape as it unfolds — so long as we can keep up with the viral threat, and access the right data.

As with all new medical maladies, oftentimes the data needs time to catch up, and the virus takes no time to slow down, posing a difficult challenge as it can quickly mutate and become resistant to existing drugs. This led scientists from MIT’s Computer Science and Artificial Intelligence Laboratory (CSAIL) to ask: how can we identify the right synergistic drug combinations for the rapidly spreading SARS-CoV-2?

Typically, data scientists use deep learning to pick out drug combinations with large existing datasets for things like cancer and cardiovascular disease, but, understandably, they can’t be used for new illnesses with limited data.

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Is this US ready for this Eric Klien?

Israeli defense technology continues to improve.

By Sebastien Roblin

Here’s What You Need to Remember: An IDF soldier also comments that the Jaguar “…can mount almost any weapon, rocket launchers, less [than] lethal weapons and crowd-dispersal means.” The latter two items suggest that beyond Gaza, Jaguars may be employed in confrontations with protesters or rioters.

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An army of drones descending over a city from a massive corporate airship…damn, amazon just out-cyberpunked cyberpunk itself.

While the origin of this video has something, in part, to do with April Fool’s day, there’s some truth to this concept too. Amazon has, for long, been experimenting with aerial deliveries, sending unmanned drones to fulfill package deliveries. In fact, the blimp idea isn’t completely far-fetched, either. Click the below link to read the entire article.

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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.

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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.

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“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.

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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.

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