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Category: robotics/AI – Page 1,828

The Navy intends to deploy its conventional prompt strike hypersonic weapon on Virginia-class attack submarines, after previous discussions of putting the weapon on the larger Ohio-class guided-missile submarine (SSGN), according to budget request documents.

In its Fiscal Year 2021 budget overview, the Navy outlines a research and development portfolio with 5 percent more funding than this current year – for a total of $21.5 billion – that is aimed at “providing innovative capabilities in shipbuilding (Columbia class), aviation (F-35), weapons (Maritime Strike Tomahawk), hypersonics (Conventional Prompt Strike), unmanned, family of lasers, digital warfare, applied [artificial intelligence], and [U.S. Marine Corps] expeditionary equipment. These technologies are crucial to maintaining DON’s competitive advantage.”

On the Conventional Prompt Strike, the Navy wants to invest $1 billion for research and development.

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O,.o!

Armed Army robot vehicles conducted reconnaissance, called for indirect fire and then, when directed by human decision-makers, attacked and destroyed enemy targets in a recent experiment designed to assess the technical maturity and readiness of autonomous ground drones.

“We had four robot vehicles conduct a tactical mission while humans were safe in defilade. We built four robots that are refurbished M113 tracked vehicles and we’ve taken two Bradleys — gutted them — and turned them into two control vehicles with all kinds of sensors on them,” Jeff Langhout, Director, Ground Vehicle Systems Center, told reporters in October at the Association of the United States Army Annual Symposium, Washington, D.C.

Langhout explained that the robots engaged in “direct fire” missions when directed by human decision-makers, per existing doctrine requiring a human to be “in the loop” when it comes to using lethal force for attack.

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Why hasn’t #MachineLearning conquered SARS-CoV-2 that causes COVID-19 (P.S., SARS-CoV-2 is the name of the #virus, while COVID-19 is the name of the disease)? One of the possible answers is that the virus “learns” faster than machines through “mutations”.

That causes us thinking: If mutation is such an efficient weapon (for virus), can we learn something from it and then apply our understanding to #DeepLearning to create “fast-mutating” #DeepLearning models capable of helping us to fight intractable crisis like a #pandemic?

https://bit.ly/3c9GE5s

Virus Mutation https://bit.ly/35xVvUQ

#COVID19 #AI #technology #innovation #NeuralNetworks

The remarkable capacity of some viruses to adapt to new hosts and environments is highly dependent on their ability to generate de novo diversity in a short period of time. Rates of spontaneous mutation vary amply among viruses. RNA viruses mutate faster than DNA viruses, single-stranded viruses mutate faster than double-strand virus, and genome size appears to correlate negatively with mutation rate. Viral mutation rates are modulated at different levels, including polymerase fidelity, sequence context, template secondary structure, cellular microenvironment, replication mechanisms, proofreading, and access to post-replicative repair. Additionally, massive numbers of mutations can be introduced by some virus-encoded diversity-generating elements, as well as by host-encoded cytidine/adenine deaminases. Our current knowledge of viral mutation rates indicates that viral genetic diversity is determined by multiple virus- and host-dependent processes, and that viral mutation rates can evolve in response to specific selective pressures.

Continue reading “Mechanisms of viral mutation” | >

Mr. Schmidt is pressing forward with a Silicon Valley worldview where advances in software and A.I. are the keys to figuring out almost any issue. While that philosophy has led to social networks that spread disinformation and other unintended consequences, Mr. Schmidt said he was convinced that applying new and relatively untested technology to complex situations — including deadly ones — would make service members more efficient and bolster the United States in its competition with China.

The former Google C.E.O. has reinvented himself as the prime liaison between Silicon Valley and the military-industrial complex.

The U.S. military has been “stuck in software in the 1980s,” said Eric Schmidt, Google’s former chief executive. Credit… Winni Wintermeyer/Redux.

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The drone-maker won the international award for its autonomous drones which have permitted companies to operate efficiently and flexibly despite the absence of workers around the world. The award was given to Percepto by the US-based company Frost and Sullivan, a business consulting firm involved in market research and analysis, for its ‘technological leadership’ in developing unique docking stations that operate independently without the need for a human operator in close proximity.

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Imagine being able to know when a stock is heading up or going down in the next week and then with the remaining cash you have, you would put all of your money to invest or short that stock. After playing the stock market with the knowledge of whether or not the stock will increase or decrease in value, you might end up a millionaire!

Unfortunately, this is impossible because no one can know the future. However, we can make estimated guesses and informed forecasts based on the information we have in the present and the past regarding any stock. An estimated guess from past movements and patterns in stock price is called Technical Analysis. We can use Technical Analysis (TA)to predict a stock’s price direction, however, this is not 100% accurate. In fact, some traders criticize TA and have said that it is just as effective in predicting the future as Astrology. But there are other traders out there who swear by it and have established long successful trading careers.

In our case, the Neural Network we will be using will utilize TA to help it make informed predictions. The specific Neural Network we will implement is called a Recurrent Neural Network — LSTM. Previously we utilized an RNN to predict Bitcoin prices (see article below):

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Some big M&A is afoot in Israel in the world of smart transportation. According to multiple reports and sources that have contacted TechCrunch, chip giant Intel is in the final stages of a deal to acquire Moovit, a startup that applies AI and big data analytics to track traffic and provide transit recommendations to some 800 million people globally. The deal is expected to close in the coming days at a price believed to be in the region of $1 billion.

We have contacted Nir Erez, the founder and CEO of Moovit, as well as Intel spokespeople for a comment on the reports and will update this story as we learn more. For now, Moovit’s spokesperson has not denied the reports and what we have been told directly.

“At this time we have no comment, but if anything changes I’ll definitely let you know,” Moovit’s spokesperson.

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UV light kills viruses in air-borne droplets and of the three types of ultraviolet light – UV-A, UV-B and UV-C – UV-C is the most damaging.

UV-C can damage the nucleic acids within an organism and prevent it from replicating. Its use as a disinfectant is fairly common in hospital and laboratory settings.

In Israel, IAI engineers have been working on a system that can work autonomously and automatically in a plane, once given a plan of the aircraft or any other large space.

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