WIRE)--New technology using deep learning and advanced algorithms to evaluate blood flow to the heart is now being used in English hospitals to fight against coronary heart disease. Coronary heart disease (CHD) is one of the leading causes of death in the UK. It is responsible for more than 66,000 deaths each year and it is estimated that 2.3 million people in the UK are currently living with the diseasei. CHD develops when the arteries leading to the heart narrow or become blocked, which can reduce blood flow, and cause chest pain and heart attacksii. The HeartFlow FFRct Analysis is being supported by NHS England as part of the Innovation and Technology Payment (ITP) programme to help physicians better diagnose coronary heart disease.

Zini is India's First Medical Artificial Intelligence released in the form of a Chatbot along with the complete health care application. Zini allows access to the genuine healthcare advice and solutions to the people all over the world. You can talk to Zini at anytime and she will always listen to your health problems. Zini is built up to act as your personal health companion which allows you to save and manage your health records together.

SenseTime announced a partnership with Rockchip to produce an AI facial recognition chip, according to the company's official WeChat platform on August 15th. Based on the announcement, the AI unicorn's acial recognition SDK will be preloaded on the AI chip on Rochchip's affiliate chip production platform. SenseTime, founded in 2014, is one of the best-funded AI unicorns in China. Previously in June, SenseTime partnered with Xiaomi [1810:HK] to apply its facial recognition technology in Xiaomi's flagship smartphone Mi 8 Explorer. As early as in December 2017, powered by SenseTime's facial recognition technology, the Vivo X20 could be unlocked within 0.1 seconds, featuring the world's leading facial recognition technology.

The image recognition technology that underlies today's autonomous cars and aerial drones depends on artificial intelligence: the computers essentially teach themselves to recognize objects like a dog, a pedestrian crossing the street or a stopped car. The problem is that the computers running the artificial intelligence algorithms are currently too large and slow for future applications like handheld medical devices. A Stanford-designed hybrid optical-electrical computer designed specifically for image analysis could be ideal for autonomous vehicles. Now, researchers at Stanford University have devised a new type of artificially intelligent camera system that can classify images faster and more energy efficiently, and that could one day be built small enough to be embedded in the devices themselves, something that is not possible today. The work was published in the August 17 Nature Scientific Reports.

At the kind invitation of Rob May and the Botchain team, I had the opportunity recently to keynote Brains and Chains, an interesting conference in New York exploring the intersection of artificial intelligence and blockchain. This is both an exciting and challenging topic, and the goal of my talk was to provide a broad introduction to kick things off, and frame the discussion for the rest of the day: discuss why the topic matters in the first place, and highlight the work of some interesting companies in the space. Below is the presentation, with some added commentary when relevant. Scroll to the very bottom for a SlideShare widget, if you'd like to flip through the slides. My firm FirstMark has been active in both AI and crypto/blockchain.

Marius cursed and jammed a mic stand between the crash bars of the TV studio door. "If SWAT's on its way, we don't have much time," he said. Michaela, who up until a couple of minutes ago had been streaming their interview live, still sat on one of the oval chairs under the hot lights. "What are they talking about?" The cube-shaped television studio had black-painted walls surrounding the bright stage area. Big monitors on the walls were showing the same "live" feed as they had five minutes ago, but now a red banner flashed at the bottom of the screens: ACTIVE SHOOTER AT COMPLETE PICTURES BUILDING. Michaela pointed at a moving figure on the screen. Apparently I like assault rifles." Adan, their cameraman, had called up a local news feed after the first shouts of panic and confusion filtered through the studio's thick doors. What it showed was entirely and completely not what the three of them were seeing. Marius was inside the windowless second-floor studio, empty-handed, yet the monitors showed what looked like a drone feed of him moving into and out of view through the building's windows on the 10th floor. He was armed, and every now and then he would pause and shoot, calmly and methodically. Marius shook his head in disgust. "Hey, Adan, could you give me a hand with this?" The cameraman was hunched over his laptop. "The same people who own the SWAT team," said Marius. "But forget what I said.

Takahiro Hayashi won his first nationwide title in shogi -- Japanese chess -- while still in high school, and by the age of 22, he was the world amateur champion. His coaches were urging him to turn pro. But Hayashi wanted to be an entrepreneur, not a chess player. And so, in 2009, he found himself in a room with some local venture capitalists, presenting a 120-page pitch about his social game firm. The financiers kind of tuned out.

The Defence Ministry will soon come up with a detailed roadmap on working closely with the industry on leveraging Artificial Intelligence (AI) -- latest technology that emphasises on creation of intelligent machines that work and react like humans -- in Armed Forces, said Ajay Kumar, Secretary, Department of Defence Production, Ministry of Defence. A task force, headed by Tata Sons Chairman N Chandrasekaran to study use and application of AI in military, recently gave its recommendations, which has been converted into a Draft Executive Order. Consultation is underway with different wings of the Defence Ministry on this, he said at a CII conference on Aerospace & Defence Manufacturing Technologies on the Theme: Fostering a Competitive, Innovative and Robust Industry. "AI is a big driver in all our platforms. We have already asked Defence PSUs to come up with suggestions as to where they can start leveraging in AI. Developing AI capabilities is absolutely essential part of leading the next generation innovation thrust," he said.

It's been the bane of any cable TV subscriber. They get frustrated with their provider and want to switch but have few alternatives available. For residents of Los Angeles, Sacramento, Houston and Indianapolis this year, 5G could be change that. These are the four markets Verizon will be testing 5G later this year. The 5G networks have been touted as the next big thing for wireless consumers, a way for them to get faster service, with videos that will open immediately and downloads that will take seconds instead of minutes.

Andrew Ng is a great fan of reading research papers as a long term investment in your own study (On Life, Creativity, And Failure about Andrew Ng). Anyone who has worked in our field (AI, Machine Learning) can attest to that. AI is a complex and a rapidly evolving field. It's a challenge to stay up to date with the latest technical details. Based on my experience, in this post, I discuss how you can stay up to date by learning from the community.