If you are looking for an answer to the question What is Artificial Intelligence? and you only have a minute, then here's the definition the Association for the Advancement of Artificial Intelligence offers on its home page: "the scientific understanding of the mechanisms underlying thought and intelligent behavior and their embodiment in machines."
However, if you are fortunate enough to have more than a minute, then please get ready to embark upon an exciting journey exploring AI (but beware, it could last a lifetime) …
Artificial intelligence is a branch of computer science that aims to create intelligent machines that teach themselves. Much of AI's growth has occurred in the last decade. The upcoming decade, according to billionaire investor Mark Cuban, will be the greatest technological revolution in man's history. More progress has been achieved on artificial intelligence.in Rapid machine-learning improvements have allowed computers to surpass humans at certain feats of ingenuity, doing things that at one time would have been unfathomable.
Microsoft announced today that its conversational speech recognition system has reached a 5.1% error rate, its lowest so far. This surpasses the 5.9% error rate reached last year by a group of researchers from Microsoft Artificial Intelligence and Research and puts its accuracy on par with professional human transcribers who have advantages like the ability to listen to text several times. Overall, researchers from the latest study reduced the error rate by about 12 percent compared to last year's findings by improving the neural net-based acoustic and language models of Microsoft's speech recognition system. Microsoft's speech recognition system is used in services like Cortana, Presentation Translator and Microsoft Cognitive Services.
With modern software powered by machine learning, we're turning finance teams into revenue heroes by giving them workflow tools that finally match in robustness those used by their sales and marketing departments. Vanessa Vreeland Indriolo, head of acquisitions and strategic investments for Fifth Third Capital, said "We've been impressed with the YayPay team's innovative approach to streamlining how small and mid-sized businesses manage accounts receivable and understand their cash flow. With advancements in technologies like robotic process automation, AI and machine learning, this is about to change very quickly. Most of all, I'm excited about the times ahead as we grow our team, advance our capabilities, and turn finance teams into revenue heroes!
Last year, IBM announced a major milestone in conversational speech recognition: a system that achieved a 6.9 percent word error rate. This was measured on a very difficult speech recognition task: recorded conversations between humans discussing day-to-day topics like "buying a car." Yoshua Bengio, leader of the University of Montreal's MILA (Montreal Institute for Learning Algorithms) Lab agrees we still have more work to do to reach human parity: "In spite of impressive advances in recent years, reaching human-level performance in AI tasks such as speech recognition or object recognition remains a scientific challenge. When we compare automatic recognition to human performance it's extremely important to take both these things into account: the performance of the recognizer and the way human performance on the same speech is estimated," she shared.
Dating app Hinge is rewarding couples who meet on the app with free gifts. Dating app Hinge is rewarding couples who meet on the app with free gifts. 'Hinge's Milestone Marketplace is a pop-up online store designed to celebrate and reward major relationship milestones - from the very first sleepover to engagements, weddings and babies,' Hinge said. In 2016, Hinge re-launched with a new version of the app, which replaced swiping with the ability to like and comment on other users' pictures, in the hope of sparking conversation.
Deep Learning has been around for about a decade now. Here are some of the more significant achievements of Deep Learning throughout the years. With Deep Learning models starting to surpass human abilities, we can be sure to see more interesting Deep Learning models, and achievements in the coming years. Is Deep Learning just CNNs?
Contextual Adaptation -- Where systems construct contextual explanatory models for classes of real world phenomena. I write about these two in previous articles (see: "The Only Way to Make Deep Learning Interpretable is to have it Explain Itself" and "The Meta Model and Meta Meta Model of Deep Learning" DARPA's presentation nails it, by highlighting what's going on in current state-of-the-art research. Deep Learning systems have flaws analogous to our own intuitions having flaws. Just to recap, here's the roadmap that I have ( explained here): It's a Deep Learning roadmap and does not cover developments in other AI fields.
Exscientia, an innovative company at the forefront of Artificial Intelligence (AI)-driven drug discovery, is pleased to announce it has entered into a strategic drug discovery collaboration with GlaxoSmithKline (GSK). Exscientia will receive research payments from GSK to undertake new discovery programmes with nominated targets with the goal of delivering pre-clinical candidates. As part of this collaboration, Exscientia is incentivised to reduce the number of compounds required for synthesis and assay in order to achieve lead and candidate compound goals. Exscientia is at the forefront of Artificial Intelligence (AI)-driven drug discovery and design.
Amazon's Alexa voice platform has now passed 15,000 skills -- the voice-powered apps that run on devices like the Echo speaker, Echo Dot, newer Echo Show and others. In the meantime, Amazon's Alexa is surging ahead, building out an entire voice app ecosystem so quickly that it hasn't even been able to implement the usual safeguards -- like a team that closely inspects apps for terms of service violations, for example, or even tools that allow developers to make money from their creations. In the long run, Amazon's focus on growth over app ecosystem infrastructure could catch up with it. In addition, Google Home has just 378 voice apps available as of June 30, Voicebot notes.