FAIRFAX, VA--(Marketwired - June 15, 2016) - Invincea, the leader in advanced endpoint threat protection, announced today that it is the first machine learning based endpoint security company to join the Anti-Malware Testing Standards Organization (AMTSO). Participation in AMTSO furthers Invincea's mission of addressing the global need for improvement in third party testing based on scientific objectivity, quality, and relevance of anti-malware testing methodologies. Hundreds of millions of new pieces of malware are created a year, wreaking havoc on enterprises across industries against the backdrop of obsolete anti-malware approaches. To combat the scourge of malware that evades traditional anti-malware systems, the next-gen endpoint security market has exploded with new companies bringing products to market with fantastic claims. To date, these companies have not been held accountable to their marketing claims by independent scientifically valid testing on the merits of their product technology and approaches.

Self-driving electric cars are coming from Google, Uber, even Apple. We'll work in them, lounge in them, share them, and never have to park them. And a result, our streets may never be the same. But what they will be like is still unclear. So Co.Design asked the New York City design consultancy Pensa to imagine the streets of the future.

In a talk in Pittsburgh in 1997, the late evolutionary biologist Stephen J. Gould allegedly characterized humans as "the primates who tell stories." Psychologist Robyn Dawes went much further, suggesting humans are "the primates whose cognitive capacity shuts down in the absence of a story." To be sure, we love a good story. Research suggests that anecdotes can be as persuasive as hard data, and that jurors are influenced by the quality of the prosecution's and defense's "stories" when deciding whether to find a defendant guilty. Even in science, we seek explanations, not mere descriptions; in history, we want a good narrative, not a mere sequence of events. Or do they offer something more?

The Singularity is a term you'll find in science and in science fiction. It was coined by mathematician John von Neumann to define a theoretical moment when the artificial intelligence of computers surpasses the capacity of the human brain. The term is borrowed from physics and quantum mechanics, where the term gravitational singularity is used in the study of black holes. These events are all considered singular because we are unable to predict what happens next; the disruptive degree of change associated with the event is simply too great for our current body of knowledge. While we are far from attaining the goal of artificial intelligence, there was a brief flurry of excitement recently when a computer passed the Turing Test, to mixed reviews.

Artificial intelligence can now cook you a meal, chat to you on your phone, and beat you in a game of rock, paper, scissors. But Andy Rubin, who co-founded Android, believes that AI in the future will go one step further - being so powerful that it underpins every connected device. Mr Rubin said a combination of quantum computing and AI advancements could yield a conscious intelligence that would control every internet-enabled gadget. According to recent studies, certain jobs are already at risk of being replaced by automated workers. Accountants are 99 per cent likely to lose their jobs to machines.

That's the age of one participant in a recent study looking at ways to take the fingerprints of infants. "The pattern is there at birth," says Anil Jain at Michigan State University in East Lansing. But it is hard to capture. Now Jain and his colleagues are developing a device that could be up to the task. Taking fingerprints from very young children – even newborns – is part of a drive in developing countries to monitor the health of infants, who often lack other forms of identification.

The FBI has fallen short on assessing the privacy risks and accuracy of a huge facial recognition database used by several law enforcement agencies, a government auditor has said. A new report, released by the U.S. Government Accountability Office Wednesday, shows the FBI's use of facial recognition technology is "far greater" than previously understood, said Senator Al Franken, the Minnesota Democrat who requested the GAO report. The FBI's Next Generation Identification-Interstate Photo System (NGI-IPS), which allows law enforcement agencies to search a database of more than 30 million photos of 16.9 million people, raises serious privacy concerns, Franken added in a press release. "Facial recognition technology is a new and powerful tool that holds great promise for law enforcement," he said. "But if we don't ensure its accuracy and guard against misuse, I am concerned about the risk of innocent Americans being inadvertently swept up in criminal investigations."

Combining Machine Translation (MT) with auto-adaptive Machine Learning (ML) enables a new paradigm of machine assistance. Such systems learn from the experience, intelligence and insights of their human users, improving productivity by working in partnership, making suggestions and improving accuracy over time. The net result is that human reviewers produce far higher volumes of content, with nearly the same level of quality, for a fraction of the time and cost. Machine assistance can save customers up to one half (or more) of the price of traditional high-quality human translation services. Or, if you've been used to machine translation alone and have been unhappy with the results, watch your translation quality rise dramatically with a marginal increase in price.

Job Description - Experience and Background: 8-10 years of overall experience 4 years of Solution Designer for case analysis, requirements structuring, data analysis and data modelling to support Enterprise wide decision support systems. Minimum 6 months of experience in Hadoop/Big Data platform Architecture Solution design for Automation based solution specifically using machine or cognitive learning. Areas of Expertise Expertise: in handling huge data loads and optimizing the system to accommodate ever increasing data in the data warehouse/ data store. Rich Data Design & Data Governance Experience Diverse experience in Requirement Capture, Architecture, Solution Design & Delivery Strong Domain experience preferably in Banking, Aviation, Healthcare, Telecom (Either one of them will suffice). Concepts of solution hosted in cloud infrastructure Cognitive or Machine learning based algorithms and implementation Knowledge of concepts like data mining, text mining, data classification, pattern matching, pattern recognition etc.

In the movie Transcendence, Johnny Depp plays Dr Will Caster, a researcher in artificial intelligence at Berkeley trying to build a sentient computer. Stuart Russell is Will Caster's real life equivalent. He works on artificial intelligence at the University of California at Berkeley, and is co-author of the definitive textbook on AI. He has also been very vocal about the risks of research in AI succeeding. Earlier this year, Google's DeepMind taught a computer program to play a wide variety of Atari video games at a superhuman level in a matter of hours.