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.
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.
Unisys Corporation has announced new advanced data analytics milestones including the launch of its new Machine Learning-as-a-Service offering and the proposed launch of its new Artificial Intelligence Center of Excellence. Based on this, machine learning algorithms are implemented to analyze the data and to develop advanced analytics models which can provide insights and predict outcomes. Registered users can access machine learning experts and algorithms for building predictive advanced analytics models. "We want to give users an opportunity to learn about how artificial intelligence can help build those capabilities by giving them access to the unique tools and expertise offered by Unisys to help them remain competitive in the future," says Fontecilla.
Microsoft claimed to reach a 5.9 percent word error rate last October using neural language models resembling associative word clouds. "As part of our process in reaching today's milestone, we determined human parity is actually lower than what anyone has yet achieved -- at 5.1 percent," George Saon, IBM principal research scientist, wrote in a blog post this week. IBM reached the 5.5 percent milestone by combining so-called Long Short-Term Memory, an artificial neural network, and WaveNet language models with three strong acoustic models. SWITCHBOARD is not the industry standard for measuring human parity, however, which makes breakthroughs harder to achieve.