Researchers have shown that an informatics-based adaptive strategy, when used with experiments, can propel the discovery of new materials with targeted properties, states a paper recently published in the journal Nature Communications. Turab Lookman, lead researcher and a physicist and materials scientist with the Physics of Condensed matter and Complex Systems group at Los Alamos National Laboratory, says that, "What we've done is show that, starting with a relatively small data set of well-controlled experiments, it is possible to iteratively guide subsequent experiments toward finding the material with the desired target." "Finding new materials has traditionally been guided by intuition and trial and error," Lookman adds."But with increasing chemical complexity, the combination possibilities become too large for trial-and-error approaches to be practical." To achieve this goal, Lookman and fellow scientists at Los Alamos and the State Key Laboratory for Mechanical Behavior of Materials in China made use of machine learning to make the process faster. The team designed and developed a framework that employs uncertainties to guide the next experiments towards looking for a shape-memory alloy with very low thermal dissipation.

WIRE)--Cylance, the American company that is revolutionizing cybersecurity through the use of artificial intelligence to proactively prevent advanced persistent threats and malware, announced that it has signed an original equipment manufacturer (OEM) agreement with MOTEX to integrate MOTEX LanScope, a leading endpoint systems management solution, and CylancePROTECT, Cylance's innovative artificial intelligence (AI) and machine learning based endpoint malware prevention product. Cylance has produced the world's most advanced malware detection and attack prevention technology, which is protecting hundreds of global organizations and millions of computers today. Draper Nexus Ventures, a leading US-Japan cross border investment firm, is helping Cylance accelerate its entry into the Japanese market. "It's a global phenomenon that traditional security cannot protect endpoints from advanced threats. The Japanese market is not an exception and we have identified a great opportunity there," said Hiro Rio Maeda, managing director for Draper Nexus.

"We're going to use this technology to breathe life into the inanimate objects and devices of our life through conversation," said Siri co-founder and CEO Dag Kittlaus. Viv (which means "life" in Latin) offers an experience akin to the AI in the film Her. When Kittlaus asked, "Will it be warmer than 70 degrees near the Golden Gate Bridge, after 5 p.m., the day after tomorrow?" Viv quickly retrieved the correct hourly forecast from the Weather Underground app. When I posed the same question to Siri on my iPhone 6S, it pulled up the daily forecast from San Francisco for the next week, but it's unclear if it actually gave me predicted temperatures after 6pm.

In this article, we take a look at the growing use of artificial intelligence in cyber security as security professionals try to stay a step ahead of the constant barrage of threats and cyber-attacks. Evolving technologies and the growing numbers of "always on", "always connected" devices, tools and commodities are giving the instigators of cyber-threats increased opportunities for access and interference. With statistics suggesting that assaults on individuals, corporations, and government bodies account for almost 400 billion in lost revenue annually, and some 90% of companies admitting to having been victim to some kind of attack – figures that translate to 18 individuals per second being affected by cyber-crime – countering these threats is a real and ongoing concern, for enterprises. Security personnel are finding themselves overwhelmed by the multiplicity of attack vectors and tools available to the cyber-criminals, and are increasingly looking to a new ally, in the quest for cyber security: AI. AI is a sub-division of computer science dealing with the development of systems and software capable of acting intelligently, and doing things that would normally be done by people – equally as well, or sometimes better.

Green Running was founded with a mission to use high speed energy data sampling technology and advanced Machine Learning techniques to break energy bills down to appliance level information making unknown energy bills a thing of the past. At these high speeds each appliance has its own unique'energy signature' and we were able to develop a system that recognises these signatures through self-learning Artificial Intelligent algorithms. Installing the eGenius arms you with your own consumption and usage behaviour, which can show you which appliances are consuming the majority of your bill, what a return on investment would be if you were to replace any of those appliances with the latest eco appliances and how your appliances like your fridge of freezer have worn over time. Your usage information is a great tangible asset which companies are willing to buy off you, further offsetting your energy bills. It is all calculated in real time and sent to your smartphone or tablet using our cool app!

In what ways could NLG be used in healthcare? What will NLG mean for patients? NLG can be used to empower patients, so that they understand their medical conditions and can make better choices about their healthcare. NLG can also help patients do a better job of looking after themselves: this includes lifestyle changes, self-management of chronic conditions, and complying with treatment regimes. For example, many diabetics have sensors which measure blood sugar levels, but they struggle to use this information to manage their diabetes because often they don't understand it, and can overreact and indeed panic when they see their blood sugar change.

It's not the same as a visit from a clown or a star athlete, but the work of a supercomputer could help make kids' stays in the hospital less dreary and frightful. IBM on Wednesday announced a three-year partnership with Alder Hey Children's Hospital in the UK that will see its Watson supercomputer harnessed to analyze and improve every aspect of patient care. Watson became one of the world's most famous artificial intelligence systems after winning the game show "Jeopardy" five year ago and for designing Karolina Kurkova's dress for the Met Gala last week. IBM has been putting Watson's supercomputing powers to task in health care since 2011, when it started assisting doctors in making clinical decisions. Its newest challenge will be to turn Alder Hey into a "cognitive hospital," delivering insights about the patient experience through a new platform.

This story was delivered to BI Intelligence Apps and Platforms Briefing subscribers. To learn more and subscribe, please click here. Facebook Messenger's new service is a hit with developers. Messenger Platform, the company's new chatbot service, is attracting developers in droves, head of product Stan Chudnovsky said at TechCrunch Disrupt on Tuesday. There are now "tens of thousands" of developers creating chatbots for Messenger, an impressive statistic because the platform has only been operation for one month. The first new initiative announced at Facebook's F8 developer conference in April was Messenger Platform, which includes a variety of tools designed to assist businesses with the creation of bots for the messaging app.

Google is beginning to look beyond search to tap into some of the most lucrative and promising businesses in the tech industry: artificial intelligence and cloud computing. The company, the largest and most significant part of Alphabet Inc., has grown to mammoth proportions off the back of its search-based advertising division. But those revenues are starting to slow. The cloud allows companies to manage and sell server space and software that lives inside its data centers, like AI, to other large companies. That type of service-based business is fast becoming the new way to reap profits in the tech industry. "We've always been doing cloud, it's just that we've been consuming it all internally at Google," CEO Sundar Pichai said on an earnings call with investors today.

Through natural language understanding, we designed the app to feel like you are talking to a person next to you in the car. A simple hand gesture (a high five) wakes up the app to initiate voice-driven text exchange. To eliminate errors, the app reads your text back before sending. It automatically informs you of incoming texts, and you decide if you'd like to listen, respond or cancel without ever looking at or touching your phone. Depending on the streaming music app you use, you can also request specific artists, songs, playlists, or genres, and give commands like "pause" and "skip."