DeepMind, a leading artificial intelligence (AI) research company, has filed a series of international patent applications, which have now been published for the first time. The applications relate to a number of the fundamental aspects of modern day machine learning, and are therefore of potential significance to anyone operating in the commercial AI sector. Background to DeepMind DeepMind is a London based artificial intelligence (AI) research company, widely recognized as being at the forefront of the field. DeepMind was founded in 2010 and acquired by Google in 2014 for £400m. In 2017, DeepMind famously developed AI capable of defeating a world-champion at Go (Silver et al.

With 6,800 new scientific publications released every day (one every 12 seconds) data mining and horizon scanning is becoming increasingly difficult for medical researchers, which can lead to delayed discoveries in the life science space. One firm believes the solution could lie in bespoke, semi-automated software that combines artificial intelligence approaches, including semantic searching and machine learning, to sift through tens of millions of documents to identify genes, diseases, devices and many more scientific concepts. The semantic platform developed by Cambridge-based technology company SciBite, which is being piloted in partnership with medical research charity LifeArc, enables researchers to gain early insights and uncover information such as novel technologies, new drug targets/biomarkers and rare disease connections. The two firms say that this will improve the ability for researchers to identify emerging mega trends in medical research, with the ultimate aim of accelerating discoveries in the healthcare space. Neal Dunkinson, head of technical sales from SciBite said: "It's almost impossible to keep ahead of the volumes of data being created second to second by the life science industry. Our technology is designed to reduce the time spent mining data by up to 80%, providing researchers with a subset of scientifically-relevant information filtered from the vast amounts of raw data in a rapid, easy-to-interpret manner, allowing them to focus and accelerate their research. As you can imagine, this is a game-changer in the healthcare space where identifying valid new leads is highly-competitive".

After you read our recaps for Microsoft, EA and Bethesda's press conferences, set a reminder for today's big events from Ubisoft (4 PM ET) and Sony (9 PM ET). What'd you do this weekend?Elon Musk morning update Let's see, we've got our first Not A Flamethrower deliveries and the possibility of a Roadster steered by SpaceX rockets plus an Augmented superhero-like driving mode. For cars that actually exist, the exec promised "full self-driving features" will start to hit Autopilot-equipped Tesla's with the V9 update in August. Don Mattrick was right?This is the always-on generation No one would argue Microsoft didn't mess up in 2013, but looking back on five years of computational advances and widespread internet adoption, it seems like the company was on to something with an always-on Xbox One. Its original vision for the eighth console generation has come true.

The idea of killer robots rising up and destroying humans is a Hollywood fantasy and a distraction from the more pressing dilemmas that intelligent machines present to society, according to one of Britain's most influential computer scientists. Sir Nigel Shadbolt, professor of computer science at the University of Oxford, predicts that AI will bring overwhelming benefits to humanity, revolutionising cancer diagnosis and treatment, and transforming education and the workplace. If problems arise, he said, it will not be because sentient machines have unexpectedly gone rogue in a Terminator-like scenario. "The danger is clearly not that robots will decide to put us away and have a robot revolution," he said. "If there [are] killer robots, it will be because we've been stupid enough to give it the instructions or software for it to do that without having a human in the loop deciding."

In this webinar, Sébastien Leger from Loud ML will share with you the power of using unsupervised learning frameworks to gain deep insights into your InfluxData time series data (application and performance metrics, network flows, and financial or transactional data). He will then show you how to configure, model, and dig into the modeled times series data using the Loud ML API and your existing InfluxDB databases. This will open the recording. Here is an unedited transcript of the webinar "How to Build Your First Predictive Model in Seconds with InfluxDB and Loud ML" This is provided for those who prefer to read than watch the webinar. Please note that the transcript is raw. We apologize for any transcribing errors. We have a really great webinar today. We actually always have a great webinar. But today, I'm really excited. We'll get started in just one minute. In the meantime, I'll just cover some housekeeping items. If you have any questions during the presentation, please feel free to type them in either the Q&A, or the Chat Panel. And if you really, really, really want to speak out your questions, just raise your hand and I can un-mute you and you can talk to Sebastian directly. In addition, as always, I will--this session's being recorded. After I do the edit, then I'll post it and you will get--usually you'll get the email first thing tomorrow morning. But I usually end up posting this in a couple of hours. So if you go back to the link, you'll see that the page actually will change from the registration page to the recording. So you'll be able to take a listen to it again. And also, we have trainings on Thursdays.

The Robotics Innovation Center, headed by Prof. Dr. Dr. h.c. Frank Kirchner, is part of the Bremen location of the German Research Center for Artificial Intelligence (DFKI). Here, we develop mobile, next generation robotic systems which are able to safely cooperate with humans and to solve complex tasks independently. For this purpose, we closely cooperate with the Robotics Group at the University of Bremen. Our team draws its innovative strength from interdisciplinary cooperation: Computer scientists and design engineers meet biologists, mathematicians, computer linguists, industrial designers, electronic engineers, physicists, and psychologists.

In Ensenada, a Mexican city about two hours south of Tijuana, a new crime fighter has taken to the skies. And over a few months on patrol, it's had quite the impact. The city's police department claims the solitary DJI Inspire 1 Quadcopter led to more than 500 arrests and a 10 percent drop in overall crime rates, with a 30 percent drop in home robberies. It's the latest example of drones slowly finding their place in civilian life, like soldiers returning from war, seeking to apply their skills to life in a country not entirely comfortable with what they were up to overseas. Unmanned aerial vehicles may have gotten their start with the military, flying recon missions in Vietnam and dropping bombs over Afghanistan.

Microsoft just showed off all of its new games for PC and Xbox One at its E3 Press Conference. There's a lot to unpack, so scroll through our live coverage below to watch all the trailers and see all the new announcements You can also re-watch the entire thing, if you like, and follow along with our commentary and insights below. We'll be back for Sony's press conference tomorrow night! 'A few very exciting games shown, and interesting to see how Xbox's newly acquired studios will fare' Well that certainly had a lot more going for it than the EA press conference. Trailers upon trailers upon gameplay demos, and new reveals all over the place.

These models are computer algorithms, or smart apps, that seek to give computers the ability to learn like children for a variety of tasks. Here, we highlight how an author's work may solve a particular set of real-world tasks or problems. By doing this, we aim to foster more and more machine, learning works, to be done by more and more Jamaican people. Today, we'll highlight the machine-learning work, a paper/algorithm called'Modelling Sensorineural Hearing-impaired Listeners' Perception of Speaker Intelligibility in Noise", by UWI lecturers Dr Lindon W. Falconer, Dr AndrÈ Coy, and their overseas colleague, Professor Jon Barker. Jordan: How would you describe your work? Dr Coy, et al: Disabling hearing loss is a major challenge faced by many individuals in societies throughout the world. The World Health Organization (WHO) has reported that approximately 6.1 per cent of the world's population has disabling hearing loss, and about 93 per cent of these people are adults.

Google is planning to bring support for more languages to its Google Assistant AI, so that its Google Home speaker could appeal to more consumers. Digitimes Research reported late last week that Google is planning to push sales of its Google Home speakers to more markets this 2018. With this in mind, the search engine giant is aiming to bring support for up to 30 languages to its voice assistant. Amazon's Alexa only supports three languages at present. To take advantage of the situation, Google wants to enable Google Assistant to support up to 30 languages with the use of its deep research in multi-language and semantics.