Computer algorithms can automatically interpret echocardiographic images and distinguish between pathological hypertrophic cardiomyopathy (HCM) and physiological changes in athletes' hearts, according to research from the Icahn School of Medicine at Mount Sinai (ISMMS), published online yesterday in the Journal of the American College of Cardiology. HCM is a disease in which a portion of the myocardium enlarges, creating functional impairment of the heart. It is the leading cause of sudden death in young athletes. Diagnosing HCM is challenging since athletes can present with physiological hypertrophy, in which their hearts appear large, but do not feature the pathological abnormality of HCM. The current standard of care requires precise phenotyping of the two similar conditions by a highly trained cardiologist.

The Amazon Echo is remarkably useful. Alexa, the digital personal assistant within the cylindrical black gadget, plays music, helps with recipes, and orders stuff online. One thing it cannot do, however, is speak Chinese. The name may sound funny to you, but this gadget is no joke. It could introduce millions of people to the power of a voice-activated, cloud-based smart home speaker.

To protect your devices, security experts often recommend having a backup method of authentication – but, they probably didn't mean your pet hedgehog. In an adorable new video, a hedgehog named Sashimi can be seen using her tiny paw to unlock an iPhone, successfully passing through the TouchID sensor. It works just like it would for a person, requiring the print be pressed multiple times onto the home button in order to capture its unique design. The Instagram-star Sashimi, of course, does this with some assistance from a human. Though adorable, the video also raises questions on the security of this feature.

In our previous blog posts of this series, we have introduced Topic Models, BigML's latest resource that helps you find thematically related terms in your unstructured text data, explained how to use it through the BigML Dashboard and the API, and lastly showed how to apply Topic Models in a real-life use case. This post will focus on automating LDA workflows by using WhizzML, a DSL for Machine Learning that provides programmatic support for all the resources you work with in our platform. Let's dive in by creating a Topic Model and making a prediction with it. In BigML, you can perform single instance predictions (referred to as a Topic Distribution) or in batch mode, which is called Batch Topic Distribution. Firstly, we will create a Topic Model without specifying any particular configuration option, that is, relying on default settings.

Food delivery marketplace Just Eat has continued its innovation push this week with a showcase of some of latest foodtech innovations at an event in Shoreditch. The London-based business held its'The Future Now - Redefining Food Discovery' event at Village Underground in Shoreditch today (Tuesday), showing off a raft of innovations including virtual and augmented reality innovations, AI chatbots and self-driving delivery robots. Technology on display included harnessing VR to feed into analytics and research for Just Eat's restaurant partners to utilising Microsoft's Hololens technology to display menu options as a buffet from which customers are able to choose their order. Elsewhere, AI also made its presence felt with Just Eat's customer care and Facebook chatbots providing a conversational approach to customer support and recommending restaurant choices depending on a user's mood and preferences. Just Eat has been on a serious innovation push this year, launching its own foodtech accelerator at the beginning of August and trialling Starship Technologies' self-driving delivery robots, which were also on show at the event.

In his 2016 Autodesk University Keynote, Jeff Kowalski spent considerable time explaining Autodesk's vision for the intersection of how the architecture, engineering, and construction (AEC) industry currently works and its future interface with artificial intelligence (AI). Kowalski, CTO of Autodesk, outlined recent significant advancements in AI, like the once inconceivable win by AlphaGo playing the pinnacle of strategy games, Go. But advancements in AI are coming faster than one would imagine. A recent Wired article listed the many large technology firms pushing hard into AI, and we already know that Google is using AI for its AEC operations. In addition, the work of BuildingSP is based on heuristic algorithms, which is a field of study within AI.

AI is expected to bring massive shifts in how people perceive and interact with technology, with machines performing a wider range of tasks, in many cases doing a better job than humans. That's the finding of a new report from Tractica which also outlines what the authors say will be the top tend trends in AI implementations next year. The report's authors say, the majority of use cases they studied take existing processes like predictive maintenance, anomaly detection, algorithmic trading, customer service, search engine queries, or cybersecurity threat detection and apply machine learning techniques or other AI techniques that can adapt rules and provide better results than previous static rule techniques. "At the same time, AI is also enabling new capabilities like image classification or natural language understanding, which are being plugged into photo storage solutions, or into virtual digital assistants (VDAs). The majority of the new capabilities around vision and language are new, and are being offered as incremental improvements to consumer products and services using a freemium model, rather than creating new disruptive business models."

Newsweek and International Business Times are to host an Artificial Intelligence and Data Science event, taking place on 1 and 2 March 2017 at the Barbican in the City of London. The event, which is taking place in association with Imperial College London will bring together data scientists from banks, hedge funds and fintech startup companies to discuss the frontiers of AI and machine learning technology in financial markets. IBT Media is the parent company of Newsweek and International Business Times. Professor Nick Jennings CB, FREng, Vice-Provost (Research) Imperial College, said: "Imperial College London is at the forefront of getting technology and economics/business expertise working together to create real impact at the forefront of the fintech revolution. "We have a broad and substantial expertise, from crypto-currency to financial economics, from signal processing to mathematical analysis and from AI to data processing and high performance computing.

PARIS--(BUSINESS WIRE)--PIQ, a leading French start-up in sports wearables today unveiled a breakthrough innovation with the introduction of a genuine Artificial Intelligence interface dedicated to sports activities. After 2 years of R&D and €13m investments, PIQ's 50 engineers developed a revolutionary technology, protected by 10 international patents allowing to identify athletes' Winning Factors, highlighting the key strength they should leverage on to succeed. From a world where connected sports were limited to the capture of basic data, PIQ's two cutting edge innovations are opening new horizons to the Sport Wearables industry: The combination of GAIA and PIQ ROBOTTM enables athletes to identify their Winning Factors, highlighting the key strength they should leverage on to succeed. GAIA – GAIA is the first Artificial Intelligence system that autonomously understands sports movement. GAIA is capable of breaking down and analyze sports movements via specific motion-capture algorithms.

It's the holiday season, which means it's time for retailers to bombard you with sales, special offers, and other attempts to sell you things. For many people, the Black Friday-to-Christmas shopping rush will lead to Amazon. It makes sense: The e-commerce giant sells a whole lot of products and makes it very easy to buy them. Many times, those products are less expensive than they are elsewhere. Though most people seem to be satisfied with the Amazon shopping experience, certain aspects of it can still be misleading.