WIRE)--Cylance, the American company that is revolutionizing cybersecurity through the use of artificial intelligence to proactively prevent advanced persistent threats and malware, announced that it has signed an original equipment manufacturer (OEM) agreement with MOTEX to integrate MOTEX LanScope, a leading endpoint systems management solution, and CylancePROTECT, Cylance's innovative artificial intelligence (AI) and machine learning based endpoint malware prevention product. Cylance has produced the world's most advanced malware detection and attack prevention technology, which is protecting hundreds of global organizations and millions of computers today. Draper Nexus Ventures, a leading US-Japan cross border investment firm, is helping Cylance accelerate its entry into the Japanese market. "It's a global phenomenon that traditional security cannot protect endpoints from advanced threats. The Japanese market is not an exception and we have identified a great opportunity there," said Hiro Rio Maeda, managing director for Draper Nexus.

A SpaceX capsule is headed back to Earth with precious science samples from NASA's one-year space station resident. The Dragon left the International Space Station in the morning, bound for an afternoon splashdown in the Pacific, a few hundred miles off the Southern California coast. The station's big robot arm set the Dragon free over Australia. The commercial cargo craft has been packed with about 3,700 pounds of cargo, spacewalk gear and biological samples for analysis on Earth. They include blood and urine samples from astronaut Scott Kelly's one-year mission. Kelly returned to Earth in March and has since retired from NASA.

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.

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.

That represents a strategic error. The U.S. can and should sell more drones as a way of complementing its foreign policy objectives. After all, some of the top threats to U.S. national security are the very nonstate actors that countries in the Middle East and Africa are buying drones in order to fight. The question is a quasi-legal one. In accordance with the Missile Technology Control Regime, a voluntary arrangement established in the late 1980s and now followed by 34 countries, the United States subjects the sale of military drones and other Category 1 items to "a strong presumption of denial" when determining whether to export to a particular country.

A SpaceX capsule is headed back to Earth with precious science samples from NASA's one-year spaceman. The Dragon left the International Space Station on Wednesday morning, bound for an afternoon splashdown in the Pacific. The station's big robot arm set the Dragon free over Australia. The capsule had been at the station since April 10, dropping off supplies as well as an experimental, inflatable room that will pop open in two weeks. Nearly 4,000 pounds of items are packed into the Dragon, including blood and urine samples from astronaut Scott Kelly's one-year mission.

I'll introduce the Hierarchical Risk Parity (HRP) approach. HRP portfolios address three major concerns of quadratic optimizers in general and Markowitz's CLA in particular: instability, concentration and under-performance. HRP applies modern mathematics (graph theory and machine learning techniques) to build a diversified portfolio based on the information contained in the covariance matrix. However, unlike quadratic optimizers, HRP does not require the invertibility of the covariance matrix. In fact, HRP can compute a portfolio on an ill-degenerated or even a singular covariance matrix, an impossible feat for quadratic optimizers.

The White House is doing a lot more thinking about the arrival of automated decision-making -- super-intelligent or otherwise. No one in government is yet screaming "Skynet," but in two actions this week the concerns about our artificial intelligence future were sketched out. The big risks of A.I. are well-known (a robot takeover), but the more immediate worries are about the subtle, or not-so-subtle, decisions made by badly coded and designed algorithms. President Barack Obama's administration released a report this week that examines the problem associated with poorly designed systems that, increasingly, are being used in automated decision making. Algorithmic systems can affect employment, education, access to credit -- anything that relies on computer-assisted decisions.