Former UCLA standout and NFL punter Chris Kluwe has sold his gamer-ready home in a gated Huntington Beach community for 1.84 million. The Traditional-style home on a cul-de-sac features, among other things, a video game room that was featured on an episode of the DIY Network series "Man Caves." Kluwe, an avid gamer, commissioned the project, which converted an unused room into a custom gaming space complete with stadium seating, a dual gaming center and a 106-inch projector screen. Elsewhere in the 3,700 square feet of interiors are formal living and dining rooms, a center-island kitchen, an office/library and a family room. A vaulted foyer with a curving staircase marks the entrance to the home.

Search giant Google announced Wednesday that it would cut payday loan providers from its advertising platforms, citing the potentially damaging effects to borrowers of short-term, high-interest cash loans. "Research has shown that these loans can result in unaffordable payment and high default rates for users so we will be updating our policies globally to reflect that," Google's head of global product policy, David Graf,f said in an announcement posted to the company's blog. The average payday loan borrower spends five months of the year in debt, paying more in fees than originally received, according to research compiled by the Pew Charitable Trusts. "Our hope is that fewer people will be exposed to misleading or harmful products," Graff said. The policy change, which follows a similar move by Facebook, won plaudits from advocacy groups concerned with the impact of payday loans on low-income borrowers.

It was the first return load from the station in a year, following a SpaceX launch accident in June 2015 that destroyed another Dragon capsule. The company's Dragon capsules are currently the only ships that can return cargo from the station, a 100 billion research laboratory that flies about 250 miles (400 km) above Earth. SpaceX resumed Dragon flights to the station last month. On Wednesday, ground controllers at NASA's Johnson Space Center in Houston used the station's robot arm to pluck the unmanned capsule from its berthing port at 7:02 a.m. and position it for release into space. British astronaut Timothy Peake, working from inside the space station's cupola module, then commanded the crane to free its grip at 9:19 a.m. as the station sailed over Australia so Dragon could begin its ride back to Earth.

The annual March Machine Learning Mania competition sponsored by SAP challenged Kagglers to predict the outcomes of every possible match-up in the 2016 men's NCAA basketball tournament. Nearly 600 teams competed, but only the first place forecasts were robust enough against upsets to top this year's bracket. In this blog post, Miguel Alomar describes how calculating the offensive and defensive efficiency played into his winning strategy. I earned a Master's Degree in Computer Science from UIB in Mallorca, Spain. For nearly 20 years, I have been involved in software development, business intelligence and data warehousing.

Our next Healthcare focused events include the Women in Machine Intelligence & Healthcare Dinner in London on 12 Oct and the Deep Learning in Healthcare Summit in Boston on 11 & 12 May 2017.

The strong interest in deep learning neural networks lies in the ability of neural networks to solve complex pattern recognition tasks – sometimes better than humans. Once trained, these machine learning solutions can run very quickly – even in real-time – and very efficiently on low-power mobile devices and in the datacenter. However training a machine learning algorithm to accurately solve complex problems requires large amounts of data that greatly increases the computational workload. Scalable distributed parallel computing using a high-performance communications fabric is an essential part of what makes the training of deep learning on large complex datasets tractable in both the data center and within the cloud. Very simply, the single node TF/s parallelism delivered by Intel Xeon processor and Intel Xeon Phi devices described in the previous article in this series is simply not enough for many complex machine learning training sets.

Over the past few years, IBM has been devoting a great deal of corporate energy into developing Watson, the company's Jeopardy-beating supercomputing platform. Watson represents a larger focus at IBM that integrates machine learning and data analytics technologies to bring cognitive computing capabilities to its customers. To find out about how the company perceives its own invention, we asked IBM Fellow Dr. Alessandro Curioni to characterize Watson and how it has evolved into new application domains. Curioni, will be speaking on the subject at the upcoming ISC High Performance conference. He is an IBM Fellow, Vice President Europe and Director IBM Research – Zurich Research Laboratory, Switzerland.

It is no secret that much of the wisdom of the world lies in unstructured data, that is the kind that is not necessarily quantifiable and tidy. So it is in cybersecurity, and now IBM is putting Watson to work to make that knowledge more accessible. Towards that end, IBM Security has announced a new year-long research project through which it will collaborate with eight universities to help train its Watson artificial-intelligence system to tackle cybercrime. Knowledge about threats is often hidden in unstructured sources such as blogs, research reports and documentation, said Kevin Skapinetz, director of strategy for IBM Security. "Let's say tomorrow there's an article about a new type of malware, then a bunch of follow-up blogs," Skapinetz explained.

IBM Security announced Watson for Cyber Security on Tuesday, a cloud-based version of the company's cognitive technology that will focus on learning the language of cybersecurity. The project is working to improve security analysts' capabilities by automating the "connections between data, emerging threats and remediation strategies." IBM will collaborate with eight universities starting this fall to expand the collection of security data IBM has trained Watson with. With its Watson cybersecurity effort, IBM is working to automate threat intelligence, allowing a machine to make connections in data that humans are sometimes unable to find. As an added bonus, if the project proves successful, businesses could integrate Watson's cybersecurity into their security platforms, helping to bridge the cybersecurity skills gap. "Even if the industry was able to fill the estimated 1.5 million open cybersecurity jobs by 2020, we'd still have a skills crisis in security," said Marc van Zadelhoff, General Manager, IBM Security.

SAN FRANCISCO, CA--(Marketwired - May 9, 2016) - If you've been following the predictions made by UNU, a new "Swarm Intelligence" platform from Unanimous A.I., you might bet on the Kentucky Derby this weekend and won big, really BIG. That's because a day before the race, UNU's picks were published for the first four horses, in order. It's a bet called the Superfecta that paid 540 to 1 odds. And that's exactly how the horses came in. And this is not the first stunning pick UNU has made.