Goto

Collaborating Authors

chess


Realizing the full potential of AI in the workplace

#artificialintelligence

Artificial intelligence (AI) is one of the signature issues of our time, but also one of the most easily misinterpreted. The prominent computer scientist Andrew Ng's slogan "AI is the new electricity"2 signals that AI is likely to be an economic blockbuster--a general-purpose technology3 with the potential to reshape business and societal landscapes alike. Just as electricity transformed almost everything 100 years ago, today I actually have a hard time thinking of an industry that I don't think AI will transform in the next several years.4 Such provocative statements naturally prompt the question: How will AI technologies change the role of humans in the workplaces of the future? An implicit assumption shaping many discussions of this topic might be called the "substitution" view: namely, that AI and other technologies will perform a continually expanding set of tasks better and more cheaply than humans, while humans will remain employed to perform those tasks at which machines ...


We've forgotten the most important thing about AI. It's time to remember it again

ZDNet

In the 18th century, Hungarian inventor Wolfgang von Kempelen created a never-before-seen chess-playing machine. The automaton, called the Mechanical Turk, could handle a game of chess against a human player, and pretty well with that: it even defeated Napoleon Bonaparte in 1809, during a campaign in Vienna. It was eventually revealed that von Kempelen's invention was an elaborate hoax. The machine, in reality, secretly hid a human chess master who directed every move. The Mechanical Turk was destroyed in the mid-19th century; but hundreds of years later, the story provides a telling metaphor for artificial intelligence.


How AI is democratizing innovation in esports and beyond

#artificialintelligence

It's no secret now that esports are taking over both real and virtual worlds with a global audience nearing half a billion spectators. And esports industry statistics are earth-shattering, with annual growth rates as high as 20 per cent and revenues exceeding 1 billion USD per year. But what about the technology that makes the esports multiverse so compelling? This was the question explored by a recent AI for Good webinar as part of the Global Dialogue on Esports. Featuring expert panellists hailing from Singapore, Toronto, Manchester and more, the diversity of speakers and attendees demonstrated how esports is truly a global phenomenon.


DeepMind's Newest AI Programs Itself to Make All the Right Decisions

#artificialintelligence

Three main deep learning approaches are supervised, unsupervised, and reinforcement learning. The first two consume huge amounts of data (like images or articles), look for patterns in the data, and use those patterns to inform actions (like identifying an image of a cat). To us, this is a pretty alien way to learn about the world. Not only would it be mind-numbingly dull to review millions of cat images, it'd take us years or more to do what these programs do in hours or days. And of course, we can learn what a cat looks like from just a few examples.


DeepMind's Newest AI Programs Itself to Make All the Right Decisions

#artificialintelligence

Three main deep learning approaches are supervised, unsupervised, and reinforcement learning. The first two consume huge amounts of data (like images or articles), look for patterns in the data, and use those patterns to inform actions (like identifying an image of a cat). To us, this is a pretty alien way to learn about the world. Not only would it be mind-numbingly dull to review millions of cat images, it'd take us years or more to do what these programs do in hours or days. And of course, we can learn what a cat looks like from just a few examples.


GPT-3 Creative Fiction

#artificialintelligence

What if I told a story here, how would that story start?" Thus, the summarization prompt: "My second grader asked me what this passage means: …" When a given prompt isn't working and GPT-3 keeps pivoting into other modes of completion, that may mean that one hasn't constrained it enough by imitating a correct output, and one needs to go further; writing the first few words or sentence of the target output may be necessary.


Top 15 AI and Machine Learning Audiobooks

#artificialintelligence

Having covered some of our favourite AI books and AI podcasts in previous lists, this time we wanted to focus on audio books. Whilst a good book can't be beaten, many prefer to digest their information differently, seen by an increase in audio book sales in recent years. Algorithms to live by is an exploration into how computer algorithms can be applied to our everyday lives, helping to solve common decision-making problems and illuminate the workings of the human mind. In this book Brian explains the problems we face in every day life which could be solved through leveraging AI, machine processes and algorithms. This audiobook aims to teach its listeners a concept which they can, eventually after repetition, learn by heart, then allowing them to brainstorm the various opportunities for python and deep learning application.


Understanding Artificial Intelligence

#artificialintelligence

Jul 19 · 9 min read Artificial Intelligence (AI) is such a buzz word these days and one thing about buzz words is… 'They often get lost in translation'. But I think it's time we all take a deep breath, exhale, pause… And realize that AI is a well-founded discipline in its own right. Machine Learning and Deep Learning do not define Artificial Intelligence. AI is a much broader field than ML, which is a Statistical subset of AI and DL, which is a specialized subset of ML involving Neural networks computation… ML and DL are Subsets of a much broader field called AI… So what exactly is Artificial Intelligence? To answer this question we must consider the four historical approaches to AI.


UF students, get used to this topic: artificial intelligence

#artificialintelligence

The University of Florida on Tuesday announced a $70 million partnership that will bring artificial intelligence to the forefront of the school's technology programs and introduce the topic more broadly to the student body. The joint effort with the California-based company NVIDIA will result in the hiring of 100 new faculty and touch every UF graduate with at least one class exposing them to artificial intelligence concepts, the university said. It also will give UF the fastest artificial intelligence supercomputer in higher education, officials said. The discipline is a branch of computer science that has brought the world products like self-driving cars, food delivery robots and computers that engage humans in a game of chess. Artificial intelligence makes it possible for machines to perform human-like tasks by learning from experience and making adjustments.


Machines can learn unsupervised 'at speed of light' after AI breakthrough, scientists say

#artificialintelligence

Researchers have achieved a breakthrough in the development of artificial intelligence by using light instead of electricity to perform computations. The new approach significantly improves both the speed and efficiency of machine learning neural networks – a form of AI that aims to replicate the functions performed by a human brain in order to teach itself a task without supervision. Current processors used for machine learning are limited in performing complex operations by the power required to process the data. Such networks are also limited by the slow transmission of electronic data between the processor and the memory. Researchers from George Washington University in the US discovered that using photons within neural network (tensor) processing units (TPUs) could overcome these limitations and create more powerful and power-efficient AI. A paper describing the research, published today in the scientific journal Applied Physics Reviews, reveals that their photon-based TPU was able to perform between 2-3 orders of magnitude higher than an electric TPU.