TOKYO--Japanese smartphone-game provider DeNA Co. said Thursday it has set up a company with Preferred Networks Inc., becoming the latest major firm to bet on the startup's artificial-intelligence technology for growth. The new joint project may mean Nintendo Co.'s future smartphone games would be powered by the technology, further beefing up the business potential of its popular characters, including Pokémon, for example, which was...

According to a World Health Organization (WHO) report released in 2011, about 820,000 women and men aged 15-24 were newly infected with HIV in developing countries. Over 60% of these were women. Among so many other challenges, developing countries are plagued with serious reproductive health illnesses such as sexually transmitted infections (STIs), unintended pregnancies, and complications from childbirth. A key priority for policymakers, researchers, and health care providers working in developing nations is to emphasize prevention and distribution of information about STIs and other reproductive tract infections (RTIs). This report on Improving Reproductive Health in Developing Countries from the U.S. National Academy of Sciences contains additional information on the topic.

Tools to rapidly and efficiently develop and embed machine learning into applications. Create advanced applications with state-of-the-art algorithms and scalable data structures.

I've looked before at the growing role AI is playing in the development of new medicines, whether it's understanding which compounds to test, or even in the creation of virtual models to test drugs in. At the forefront of this trend is Insilico Medicine, who you may remember I wrote about recently after they'd developed a system that can guess your age accurately just by looking at you. They have certainly been busy and recently published a paper looking at the role of deep learning in predicting the impact drugs might have on the body. The study saw a neural network trained up to predict the therapeutic use of a huge array of drugs. The team measured the differential signaling pathway activation score for a wide range of different pathways to reduce the dimensionality of the data, whilst ensuring that it remained scientifically relevant.

Using artificial intelligence to create smart farms Is the future of farming in the software? Texas TechPulse spoke with Blake about his new startup which got its start in Israel and what it's up to here in Texas. What exactly is Flux all about? Blake Burris: "Flux Farms is about a two year old company, which was started in Israel. We've built a framework technology, which is generic, in a sense, and can be applied to multiple sectors or realms. The first sector we're addressing, is the agricultural sector, and hydroponics. We've built a system that includes both hardware, a cloud platform, and a robust, artificial intelligence back end, which uses machine learning to help both the average Joe grow crops with the yield an expert might get. That might be you or I growing tomatoes on the back patio, or someone growing at scale. For example, we recently visited a possible customer in Lucas, Texas, North of Dallas, who has 8,000 square feet, with the vision to supply Texas restaurants with lettuce, herbs, and other vegetables. We can scale this from your backyard to urban farms, and even to larger, vertical farms in cities around the world."

Artificial Intelligence Used to Predict Onset of Alzheimer's

First was the Monte Carlo tree search, an algorithm that rather than attempting to examine all possible future moves instead tests a sparse selection of them, combining their value in a sophisticated way to get a better estimate of a move's quality. The second was the (re)discovery of deep networks, a contemporary incarnation of neural networks that had been experimented with since the 1960s, but which was now cheaper, more powerful, and equipped with huge amounts of data with which to train the learning algorithms. The combination of these techniques saw a drastic improvement in Go-playing programs, and ultimately Google DeepMind's AlphaGo program beat Go world champion Lee Sedol in March 2016. Now that Go has fallen, where do we go from here? Following Kasparov's defeat in 1997, scientists considered that the challenge for AI was not to conquer some cerebral game.

If one needed further evidence of the remarkable complexity of the brain, one needs to look no further than the first cache of data released Wednesday by the Seattle-based Allen Institute of for Brain Science. The online repository of 30 terabytes of raw data, collected as part of an ambitious 10-year research plan announced by the institute in 2012, covers 18,000 neurons in four areas of the visual cortex of mice and is already the largest and most comprehensive study of its kind. "No one has ever taken this kind of standardized approach to surveying the active brain at cellular resolution in order to measure how the brain processes information in real time. This is a milestone in our quest to decode how the brain's computations give rise to perception, behavior, and consciousness," Christof Koch, president and chief scientific officer of the Allen Institute for Brain Science, said in a statement. "Just like in astronomy, modelers and theoreticians worldwide can now study this wealth of data using their own analysis tools."

DESCRIPTION: The cognitive revolution has begun and business leaders are being inundated with techno-buzzwords--machine learning, AI, deep learning, whitebox, neural networks. It's hard to separate hype from reality and even harder to execute strategies that generate real business value from machine learning.

Today, Nest announced the newest addition to its product line: a security camera called Nest Cam Outdoor. The camera's weatherproof industrial design is slick, but it's the software that has the potential to win over new customers--in particular, how the system manages footage. Using artificial intelligence, the camera sniffs out potential security threats rather than blindly sending notifications anytime something insignificant (or not) passes in front of it. In short, the camera aims to be a human sentry in gadget form. "It watches and hears everything, but it only tells you the salient information," Mehul Nariyawala, project manager of cameras at Nest, says.