Scientists working on Continual Learning to overcome ‘Catastrophic Forgetting’ 

ContinualAI recently announced Avalanche, a library of tools compiled over the course of a year from over 40 contributors with the goal of making CL research easier and more reproducible. The organization was launched three years ago and has attracted support for its mission to advance CL, which its members see as fundamental for the future of AI.  

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AI World Executive Summit: Important to ask the right questions 

AI world executive summit

Of respondents at AI high-performing companies, 75% report that AI spending across business functions has increased because of the pandemic, according to the Global Survey on AI from McKinsey for 2020. These organizations are using AI to generate value, which is increasingly coming in the form of new revenue. Three experts discussed the implications of this growth with AI Trends in interviews in anticipation of the AI World Executive Summit: The Future of AI, to be held virtually on July 14, 2021.

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Use of Synthetic Data, in early stage, seen as an answer to Data Bias 

Assuring that the huge volumes of data on which many AI applications rely is not biased and complies with restrictive data privacy regulations is a challenge that a new industry is positioning to address: synthetic data production. Synthetic data is computer-generated data that can be used as a substitute for data from the real world.

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AI-powered Trading App benefitting DFIN as IPOs surge to record numbers 

IPO graphic

The number of initial public offerings (IPOs) is setting records month to month and is not seen slowing down anytime soon. Companies raised $167.2 billion through 454 offerings on US exchanges through Dec. 24 in 2020, compared with the previous full-year record of $107.9 billion at the height of the dot-com boom in 1999, according to Dealogic as quoted in a recent account in The Wall Street Journal. 

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Essential rules for Autonomous Robots to Drive a conventional Car

Robot driving a car

One approach to achieving a self-driving or driverless car would be to make a robot that could drive a conventional human-driven car in place of the human. Thus, rather than building the driving capabilities directly into a car, the robot would be able to get into a normal car and drive. This kind of exploratory activity is taking place in some research labs, but generally is a long way afield of being practical. 

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Three finalists selected in $4.5 million Watson AI XPrize competition  

Figure holding trophy aloft

Three finalist companies have been named in the $5 million IBM Watson AI XPrize competition that aims to demonstrate how humans can collaborate using AI technologies to tackle some of the most pressing issues facing our world. The finalists were selected from a pool of 10 semifinalists following presentations of their solutions to a panel of judges.  

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Autonomous Cars and Minecraft have this in common  

Minercraft

Minecraft seems to be everywhere. Now over a decade old, the video game has reportedly attained more than 126 million monthly active players and has sold well beyond 200 million copies of the gaming software. Besides the game itself, there is plenty of merchandise to be had and lots of spin-offs […]

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IBM reportedly retreating from Healthcare with Watson 

IBM

Reports surfaced last week that IBM is contemplating a sale of Watson Health, representing a retreat from the market of AI applied to healthcare that IBM had pursued under the direction of its previous CEO.  The Wall Street Journal last week reported IBM was exploring the sale of Watson…

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Tesla Working on Full Self-Driving Mode, Extending AI Lead 

Tesla Model car

Tesla’s goal to release its level 5 Full Self Driving (FSD) mode autopilot capability in 2021 was deemed unrealistic by the CEO of competitor Waymo in a recent interview.  Tesla is the only autonomous vehicle manufacturer using real-time cameras, rather than pre-mapped Lidar (Light Detection and Ranging) to guide vehicle movement. Tesla also…

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Asimov’s three Laws of Robotics and AI Autonomous Cars 

Robot driver

Perhaps one of the most well-known facets about robots is the legendary set of three rules proffered by writer Isaac Asimov. His science fiction tale entitled The Three Laws was published in 1942 and has seemingly been unstoppable in terms of ongoing interest and embrace.   

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Rule-Based AI vs. Machine Learning for Development – Which is best? 

Woman with idea

Rule-based AI systems borrow from rule-based expert system development, which tapped the knowledge of human experts to solve complex problems by reasoning through bodies of knowledge. Expert systems emerged in the 1970s and 1980s. Today rule-based AI models include a set of rules and a set of facts, described in a recent account in BecomingHuman/ Medium. “You can develop a basic AI model with the help of these two components,” the article states. 

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Guidelines for getting started with AIOps 

Men in server room

As AI becomes more mainstreamed as a software development approach, enterprise IT operations need to get involved with managing its complexity. The need for AI to help IT operations, AIOps, has accelerated as organizations attempt to incorporate AI systems into their production environments. Tools positioning in the AIOps market incorporate analytics and machine learning to help get the job done. The use of tools in this category is projected by Gartner to grow from five percent of large enterprises in 2018 to 30% by 2023. 

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Misclassifying a Snowman as a Pedestrian is troublesome for AI Autonomous Cars 

Child sculps a snowman

We misclassify a lot of things, all the time, daily, and at any moment. You are waiting in a restaurant for a friend to come and have lunch with you. Your eyes are scanning the people that are entering the busy eatery. Assume that it is a cold day and raining or snowing, which means that most of those coming into the restaurant are wearing heavy clothes and generally covered up. It would be quite easy to spot someone that appeared to be your friend, based perhaps on their height and overall shape, yet once they removed their coat and hat, presumably by now seeing clearly the face of the person, you would realize it is not the person you were waiting for.

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AI autonomous Cars might showcase the wisdom of the Einstein Clock Paradox 

Einstein Paradox Clock

Are you familiar with the famous twin’s paradox that was proffered by Einstein? It’s quite a hoot. The topic focuses on the foundational nature of time and clocks. Einstein brought up the topic while conceiving the theories of relativity, though historians point out that the thought experiment can be traced to a 1911 paper from scientist Paul Langevin. In any case, let’s jump into the details and put aside the historical origins.

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Making sense of AI Autonomous Cars going in Reverse and Reversible Computing 

Gear shift

Right now, we assume that time can only flow in one direction, namely forward. Mankind has dreamt forever that it would be nifty if time could be reversed. There are a plethora of science fiction tales including books, short stories, movies, TV shows, poetry, and you name it that have sought to explore what could happen and what might be done if time could flow in reverse.

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AI Autonomous cars as Drug Mules for Narco Dealers is a bad prescription

Drugs sign

The number of ways to transport illegal drugs seems to be nearly endless. We all have heard about the use of airplanes to smuggle in illicit drugs. There are also tales aplenty about motorboats and sailboats loaded with banned narcotics that try to reach land.

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