As France makes the wearing of facial masks mandatory on public transport, it’s trialling new AI technology to check whether passengers are complying. The software, made by French startup Datakalab, is being trialed first in Paris, and will only generate anonymous statistical data.
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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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.
Continue reading “Soldier-controlled autonomous robots call for fire in test, attack targets” »
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?
Augmented reality has been the next big thing for a while, but we haven’t seen many practical applications. Here’s a tool that looks useful, though: using AR and AI to copy and paste objects from the real world to your computer using just your phone.
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.
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.
The company says DARPA has selected it as the sole prime for an autonomous mission management solution for Project Blackjack.
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):
