Jeopardy-winning Watson is getting better and better at designing cancer treatments. New data presented this week at the American Society of Clinical Oncology's annual meeting show that IBM's Watson for Oncology suggests cancer treatments that are often in-line with what physicians recommend. The company also announced that the cancer care product, designed to help physicians diagnose and treat their patients, is being used by nine new medical centers around the world. In a handful of studies being presented at ASCO, researchers show that Watson for Oncology is pretty dang good at recommending treatments for a variety of different cancers. From research done in India, Watson's treatment recommendations were in agreement with those of physicians 96 percent of the time for lung cancer, 93 percent of the time for rectal cancer, and 81 percent of the time for colon cancer.

US research firm International Data Corporation predicts that by 2020, businesses will spend over $100 billion to protect themselves from hacking, up from the estimated $74 billion budget last year. However, new technologies such as artificial intelligence and quantum computing can reportedly help prevent cyberattacks. Artificial intelligence, for instance, could enhance threat detection, shorten defense response time, and improve ways of distinguishing real efforts from those that can be ignored, the Financial Times noted. "Before artificial intelligence, we'd have to assume that a lot of the data - say 90 percent - is fine. We only would have bandwidth to analyze this 10 percent," Daniel Driver from UK defense group's Chemring Technology Solution said. IBM is also developing its own AI security platform called Watson.

Digital business platform provider Magnolia formed a partnership with IBM in 2015 to integrate with its IBM Marketing Cloud. With the integration, Magnolia users could incorporate the email marketing, lead management and mobile engagement solutions the platform provided into their daily workflows. When Armonk, NY-based IBM folded its Marketing Cloud under the broader umbrella of Watson Marketing in March, the capabilities expanded, which meant good news for Magnolia users. By installing the Magnolia Silverpop Module, Magnolia customers with a Watson Marketing account can plug their Magnolia instances into IBM Watson, bringing further capabilities for personalized content delivery based on scoring models derived from visitor behavior. IBM Watson can, "analyze and interpret all of your data, including unstructured text, images, audio and video [with the aim of] providing personalized recommendations by understanding a user's personality, tone and emotion."

It can be difficult to tell whether a trained generative model has learned to generate novel examples or has simply memorized a specific set of outputs. In published work, it is common to attempt to address this visually, for example by displaying a generated example and its nearest neighbor(s) in the training set (in, for example, the L2 metric). As any generative model induces a probability density on its output domain, we propose studying this density directly. We first study the geometry of the latent representation and generator, relate this to the output density, and then develop techniques to compute and inspect the output density. As an application, we demonstrate that "memorization" tends to a density made of delta functions concentrated on the memorized examples. We note that without first understanding the geometry, the measurement would be essentially impossible to make.

IBM Watson Group opened a $200 million Internet of Things (IoT) headquarters today in Munich, Germany, what the company is calling its biggest investment in Europe in more than two decades. There more than 1,000 IBM engineers and designers will work with IBM clients and partners in what IBM Watson general manager Harriet Green called a "collaboratory." Watson works with 6,000 clients worldwide, according to the company. "This is more than a ribbon cutting or a ceremony. This is an industry moment. We think it is a turning point because at IBM we have always believed that there is only one way to fill the potential of this truly transformational technology, and that is together," Green said today at Genius of Things Summit, a gathering of press, the IoT team, and more than 400 business partners.

Key Points: – The market for AI is on an exponential growth curve and is expected to reach $16.06 billion by 2022. Artificial intelligence is rapidly coming of age, poised to transform businesses and industries globally. The market for AI is on an exponential growth curve and is expected to reach $16.06 billion by 2022. With over half of all developer teams projected to embed AI services in their apps by 2018, it's inevitable that consumers will soon be interacting with these new technologies on a regular basis. While the growing popularity of AI is clear, who's actually driving the adoption of these new technologies at organizations?

While the oil and gas industry has had its share of ups and downs over the past decade, many financial institutions are banking on a very slow growth of oil prices in 2017. Though some believe that the efficiency gains that the oil industry can capture are quickly coming to an end, this sentiment is only capturing hard technology specifically related to oil and gas. To help bring the O&G industry to the 21st century, technology from other industries needs to be incorporated, using many hard-earned years of expertise and different lines of thinking. Oilprice previously mentioned incorporating food industry technology to increase safety standards when fracking, but incorporating technology from the IT industry is something that the O&G industry as a whole can benefit from. Whether its neural networks, machine learning, fuzzy logic, case-based reasoning or expert systems, AI has the potential to transform the industry.

The Mirai is Toyota's car of the future. It runs on hydrogen fuel cells, gets 312 miles on a full tank and only emits water vapor. So, to target tech and science enthusiasts, the brand is running thousands of ads with messaging crafted based on their interests. The campaign was written by IBM's supercomputer, Watson. After spending two to three months training the AI to piece together coherent sentences and phrases, Saatchi LA began rolling out a campaign last week on Facebook called "Thousands of Ways to Say Yes" that pitches the car through short video clips.

Watson, IBM's supercomputer, is most well known for beating two quizmasters on popular quiz show Jeopardy! in 2011. The impressive artificially intelligent software was developed to advance machine learning capabilities, including natural language processing, reasoning and knowledge retrieval. Watson can access information from an endless list of sources, from literature to databases. As AI continues to attract investment and R&D, it will impact our lives in so many ways. It's not surprising, then, that Watson has rather expanded its repertoire since its Jeopardy!

The Cognitive Adaptive Learning Classification and Response for Communications Threats system, (CALCR) uses a case-based reasoning (CBR) and case-based learning (CBL) approach to address issues encountered in a contested RF communications environment. CALCR was the result of a research project that explored new approaches to understanding communications threats and responding with appropriate countermeasures. Modern communications threats may be modified from existing systems, or may be completely new systems, and CALCR enables a response to these unknown or unanticipated threats. CALCR integrates existing properties of CBR, along with several innovations, making it ideal for this problem: the ability for a case library to be extended through CBL as new conditions are encountered; the robustness of CBR in situations where there is missing data, which CALCR addresses with an advanced intelligent similarity measure; the ability to detect classes unknown to the case library through the use of a confidence measure; and the ability to provide a best-attempt solution, when multiple threat classes are matched, through the use of a new approach called the taxonomy reasoner.