soccer


120 AI Predictions For 2020

#artificialintelligence

Me: "Alexa, tell me what will happen in 2020." Amazon AI: "Here's what I found on Wikipedia: The 2020 UEFA European Football Championship…[continues to read from Wikipedia]" Me: "Alexa, give me a prediction for 2020." Amazon AI: "The universe has not revealed the answer to me." Well, some slight improvement over last year's responses, when Alexa's answer to the first question was "Do you want to open'this day in history'?" As for the universe, it is an open book for the 120 senior executives featured here, all involved with AI, delivering 2020 predictions for a wide range of topics: Autonomous vehicles, deepfakes, small data, voice and natural language processing, human and augmented intelligence, bias and explainability, edge and IoT processing, and many promising applications of artificial intelligence and machine learning technologies and tools. And there will be even more 2020 AI predictions, in a second installment to be posted here later this month. "Vehicle AI is going to be ...


120 AI Predictions For 2020

#artificialintelligence

Me: "Alexa, tell me what will happen in 2020." Amazon AI: "Here's what I found on Wikipedia: The 2020 UEFA European Football Championship…[continues to read from Wikipedia]" Me: "Alexa, give me a prediction for 2020." Amazon AI: "The universe has not revealed the answer to me." Well, some slight improvement over last year's responses, when Alexa's answer to the first question was "Do you want to open'this day in history'?" As for the universe, it is an open book for the 120 senior executives featured here, all involved with AI, delivering 2020 predictions for a wide range of topics: Autonomous vehicles, deepfakes, small data, voice and natural language processing, human and augmented intelligence, bias and explainability, edge and IoT processing, and many promising applications of artificial intelligence and machine learning technologies and tools. And there will be even more 2020 AI predictions, in a second installment to be posted here later this month. "Vehicle AI is going to be ...


120 AI Predictions For 2020

#artificialintelligence

Me: "Alexa, tell me what will happen in 2020." Amazon AI: "Here's what I found on Wikipedia: The 2020 UEFA European Football Championship…[continues to read from Wikipedia]" Me: "Alexa, give me a prediction for 2020." Amazon AI: "The universe has not revealed the answer to me." Well, some slight improvement over last year's responses, when Alexa's answer to the first question was "Do you want to open'this day in history'?" As for the universe, it is an open book for the 120 senior executives featured here, all involved with AI, delivering 2020 predictions for a wide range of topics: Autonomous vehicles, deepfakes, small data, voice and natural language processing, human and augmented intelligence, bias and explainability, edge and IoT processing, and many promising applications of artificial intelligence and machine learning technologies and tools. And there will be even more 2020 AI predictions, in a second installment to be posted here later this month. "Vehicle AI is going to be ...


120 AI Predictions For 2020

#artificialintelligence

Me: "Alexa, tell me what will happen in 2020." Amazon AI: "Here's what I found on Wikipedia: The 2020 UEFA European Football Championship…[continues to read from Wikipedia]" Me: "Alexa, give me a prediction for 2020." Amazon AI: "The universe has not revealed the answer to me." Well, some slight improvement over last year's responses, when Alexa's answer to the first question was "Do you want to open'this day in history'?" As for the universe, it is an open book for the 120 senior executives featured here, all involved with AI, delivering 2020 predictions for a wide range of topics: Autonomous vehicles, deepfakes, small data, voice and natural language processing, human and augmented intelligence, bias and explainability, edge and IoT processing, and many promising applications of artificial intelligence and machine learning technologies and tools. And there will be even more 2020 AI predictions, in a second installment to be posted here later this month. "Vehicle AI is going to be ...


Robo-soccer? C'mon, Man!

#artificialintelligence

"People think footballers are all like robots. We can control everything on the pitch. But your heart is beating 200 times a minute. "Jaw-dropping" is a word I deplore. Yet, I came close to muffing a mandible when I encountered stories about a bunch of electronics engineers -- clearly with too much time on their hands -- working feverishly on "the development of robotic soccer players which can beat a human World Cup champion team." According to an explanation of this eccentric dream, "the idea of robots playing soccer was first mentioned by Professor Alan Mackworth" of the University of British Columbia in the early 1990s. Accessing the World RoboCup website, I discovered that a fair amount of money went into studying the "financial feasibility" and "social impact" of lightning-fast, cat-quick robo-soccer teams humiliating the Germans, Brazilians and British hooligans at, say, the 2026 World Cup. The "researchers concluded that the project was feasible and desirable."


Adaptive Skills Adaptive Partitions (ASAP)

Neural Information Processing Systems

We introduce the Adaptive Skills, Adaptive Partitions (ASAP) framework that (1) learns skills (i.e., temporally extended actions or options) as well as (2) where to apply them. We believe that both (1) and (2) are necessary for a truly general skill learning framework, which is a key building block needed to scale up to lifelong learning agents. The ASAP framework is also able to solve related new tasks simply by adapting where it applies its existing learned skills. We prove that ASAP converges to a local optimum under natural conditions. Finally, our experimental results, which include a RoboCup domain, demonstrate the ability of ASAP to learn where to reuse skills as well as solve multiple tasks with considerably less experience than solving each task from scratch.


An introduction to deep learning with Brain.js - LogRocket Blog

#artificialintelligence

Using Brain.js is a fantastic way to build a neural network. It learns the patterns and relationship between the inputs and output in order to make a somewhat educated guess when dealing with related issues. One example of a neural network is Cloudinary's image recognition add-on system. I was also shocked the first time I read the documentation of Brain.js, In this post, we will discuss some aspects of understanding how neural networks work.


'Fleabagging,' 'Glamboozling' are latest bizarre dating terms

FOX News

Dating app Plenty of Fish has revealed the seven new dating terms to emerge in 2020 to the MailOnline. When it comes to dating, we're all familiar with ghosting, and even breadcrumbing and benching have entered our vocabulary. But there is a whole new set of dating terms for singletons to get their heads around in time for the New Year. Dating app Plenty of Fish has revealed the seven new dating terms to emerge in 2020 to the MailOnline. So get ready to be glamboozled – and to yellow card them when you are.


Unlocking the potential of smart cameras with deep learning

#artificialintelligence

An object in motion looks fundamentally different from an object at rest -- especially to a computer. To get a better idea of this concept, let's imagine a film strip of a sprinter running: The person and pose in one frame look drastically different from the next frame, right? Making sense of dynamic objects is taking on new importance as cities begin incorporating IoT devices like smart cameras to streamline municipal life. The town of Yuma, Arizona, is a great example of this. The city recently installed cameras on streetlights that can detect when cars, bicycles, and pedestrians travel through intersections, and it uses that data to optimise signal switching.


How to build a chatbot with personality and not alienate users

#artificialintelligence

Chatbots are growing in influence, and developers are now applying artificial intelligence to improve chatbot performance by deepening their personality and making them more lifelike. But this raises some problems. The acceptance of chatbots is still a challenge. Even worse, some attempts at building a chatbot with personality have been taken very negatively, such as with the ethical questions arising from Google Duplex imitating humans. Along with the business and ethical challenges, there's also the technical issue of controlling AI chat learning, as shown in the now classic example of Microsoft Tay quickly learning racism, misogyny and antisemitism.