Just weeks ago, Google announced that it would be releasing improvements to its Dynamic Search Ads, making its targeting even more precise and relevant than before. The advertiser provides the website that they want to drive traffic to, and Google then analyzes the pages and creates an ad campaign based on the perceived content on those pages. In thinking about the ways in which the use of negative keywords will impact RankBrain's machine learning, the potential feedback from millions of advertisers with millions of pages of content should vastly improve the AI's ability to provide more precise ad targeting. Changes to Google's search results pages ... read more What metric is the best way to approximate the future success of your conversion rate optimization (CRO) efforts.

Developed by a pair of former Google project leads, Candid (the company) has developed a natural language processing system that analyzes every piece of posted content and flags inflammatory items for removal -- things like hate speech, threats and slander. Off-topic posts are moved to more appropriate sections, so you won't have to dig through political discussions to read about NASA's mission to Mars. Candid (the app) is available free on both iOS and Android. Similar to Yik Yak's location-based function, each Candid user will see a personalized feed of posts and content based on their "education, employment, interests and neighborhood," according to the company's press release. Interestingly, you can even sign up using your Facebook account to seed the app's Group suggestions.

For those suffering depression, PTSD, or other mental health challenges, a breakdown can be a slow burn, developing over days or weeks in between doctor visits. Delay in treatment can have lasting consequences. "Very likely, every single episode of depression or mania is going to damage your brain a little more," says Thilo Deckersbach, a Harvard psychology professor who practices at Massachusetts General Hospital. The hospital's online MoodNetwork recruits patients with major depression and bipolar disorder for clinical studies, including a new one with the Boston-based artificial intelligence company Cogito. They are testing the ability of a mobile app called "Companion" to flag early signs of trouble by monitoring activities like patients' movement, calling and texting behavior, and the way they speak.

"Mellanox's smart Switch-IB 2 switches enable the University of Tokyo to leverage new in-network computing capabilities, allowing data algorithms to be managed and executed by the network devices," said Gilad Shainer, vice president, marketing at Mellanox Technologies. "EDR 100G InfiniBand offers world-leading performance, scalability and efficiency enabling the University of Tokyo to be at the forefront of research, and scientific discovery." "We are pleased to have installed Mellanox's InfiniBand high-performance solutions to drive our new integrated supercomputer system," said Professor Hiroshi Nakamura, Director of the Information Technology Center, The University of Tokyo. "Our new system is key to advancing ongoing research and expanding the exciting work being carried out that is leveraging computational science and engineering, computer science, data analysis, and machine learning." Mellanox InfiniBand adapters provide the highest performing interconnect solution for High-Performance Computing, Enterprise Data Centers, Web 2.0, Cloud Computing, and embedded environments.

Researchers from the Michigan State University are using GPU-powered artificial intelligence and fingerprints to help keep kids healthy. Many children living in developing countries lack any form of identification, making it hard to know what babies have received which vaccine or booster shot. "We want to make sure there's complete coverage, that every child is given the right vaccinations," research lead Prof. Anil Jain says. "With fingerprint-based health records, we can track this." Apart from keeping track of vaccination shots, fingerprint scans can also help authorities identify missing children or resolve cases in which newborns are swapped at birth.

The once-futuristic predictions about how artificial intelligence (AI) will impact the world are becoming reality. Legendary futurist Ray Kurzweil has imagined advanced technology delivering everything from computerised brain chips to near-total automation of industries, and we already see the signs that AI will ultimately change the way we live and work. AI, where computers behave like humans, is no longer the stuff of science fiction. In many respects, AI is like a freight train racing down the tracks. Steady advances in hardware and software are sparking immense progress in how machines help interact with customers.

Note the similarities between this business model and an online supermarket (online retailers). Discounting other factors, such as distribution logistics and differences in regulations, the fundamentals are the same: a commoditised online offering with no'human touch' at the point of sale. Even consumer demographics are similar – young, tech-savvy professionals, looking for cheaper, easy-to-use and anytime/anywhere self-service options. Online supermarkets use extensive segmentation analysis and branding to acquire and retain customers. A seamless integration of data, analytics and technology enables a personalised shopping experience.

The use of artificial intelligence, which has been growing in fits and starts for years, is starting to play a much bigger role in business. The worldwide market for AI platforms and applications is expected to grow to 16.5 billion in 2019 from 1.6 billion in 2015, according to the International Data Corp. Faster and cheaper computing is helping fuel today's AI revolution. But while many large tech firms and startups have been able to build new AI-influenced business models, many organizations, with access to much of the same computing power, are still grappling with how to best employ AI, CIO Journal's Steven Norton writes in CIO Explainer: What is Artificial Intelligence? A host of issues, from executive confusion over AI capabilities to concerns over the effect intelligent machines will have on a human workforce, could slow deployment. "The number one issue for CIOs is how can I invest anything in artificial intelligence without having clear visibility into real business results," Gartner Inc. fellow and research vice president Tom Austin, tells CIO Journal.

A specially programmed AI can'think' about cybersecurity in a more complex detail than a human can. It's not unreasonable to suggest the cybersecurity battle is being lost - and on more than one front. Not only are more efficient and organised cybercriminals winning the security arms race against their corporate targets, there's also a shortage of cybersecurity professionals equipped with the skills required to fight hackers. Some claim the fight against online crooks will be bolstered not by hiring more people but rather by machines using techniques based around artificial intelligence, machine learning, and deep learning. This doesn't mean self-learning machines will be outright replacing cybersecurity professionals, however, but rather augmenting what they're able to do and taking care of the most basic tasks.

There's a high-stakes race under way in Silicon Valley to develop software that makes it easy to weave artificial intelligence technology into almost everything, and Google has sprinted into the lead. Google computer scientists including Jeff Dean and Greg Corrado built software called TensorFlow, which simplifies the programming of key systems that underpin artificial intelligence. That helps Google make its products smarter and more responsive. It's important for other companies too because the software makes it dramatically easier to create computer programs that learn and improve automatically. What's more, Google gives it away.