For Immediate Release: American Institute of Artificial Intelligence (AiAi) and AppTek announced their alliance to offer education and solutions in artificial intelligence. "With a long history of developing and delivering powerful A.I. solutions, AppTek is embarking on the next phase of its evolution, said Adam Sutherland, CEO of AppTek. From strengthening our national security to powering media, AppTek stands at the forefront of the A.I. revolution. We are proud to work with the American Institute of A.I. to bring education and solutions in the applied A.I. arena." "The A.I. revolution is unfolding at an unprecedented pace," commented Al Naqvi, Professor and CEO of AiAi.

Digital technologies like the internet and smartphones are transforming our lives and society. They are proving to be powerful tools for liberating individuals' creative and entrepreneurial potential, as well as providing new educational opportunities and higher wages for marginalized people, both in the U.S. and around the globe. Unfortunately, in the U.S., outdated government regulations and weak consumer protections are undermining these opportunities. What's more, the Trump administration has not yet made significant moves to address this growing crisis: As of this writing, five key White House positions are vacant, without even acting directors or interim leaders to help the executive branch formulate U.S. science and technology policy. As the founder of both the Open Technology Institute and the X-Lab policy and innovation organization, I have spent years at the heart of many Washington, D.C. battles over technology policy, fighting for ideas that would best serve American workers and the general public.

MEPs have approved rules for keeping humans firmly in charge of Artificial Intelligence (AI). They include ways to establish liability in law, for example where driverless cars cause accidents. They have also called for ethical standards to be built in to AI algorithms and robots that work for humans, and standardisation across Member States to ensure a level playing field for technology companies. After a heated debate, the vote was passed on Thursday by a large majority, 369 to 123 with 85 abstentions. But clauses that would introduce a basic state allowance for people who lose their jobs to robotisation were defeated. A coalition of right-wing parties voted them out.

It was an unusual sight: Democrats and Republicans gently ribbing each other, giggling, and vowing to work closely together on legislation that is said to be vital to the health and safety of Americans. Of all the things that could bring both parties together in this era of rank partisanship, who would have thought it would be self-driving cars? The convivial atmosphere in today's hearing by the House Subcommittee on Digital Commerce and Consumer Protection, which was to mark-up a package of bills related to autonomous vehicles, was by design. After all, it was carefully cultivated by the big automakers and tech companies that are working furiously on autonomous driving technology. These companies want to ensure their interests are protected as legislation to regulate this emerging industry moves closer to a vote.

Elon Musk recently commented on the need to regulate AI, citing it as an existential risk for humanity. As is the case with any human creation, the increasing leverage technology affords humans can certainly be used for good or evil, but the premise that we need to fear AI and regulate it this early in its development is not well founded. The first question we might consider is whether what we fear is the apathy or malevolence that AI might evolve. I bring this up because Musk himself has previously referred to the development of AI as "summoning the demon," associating the imagery of evil with it. Any honest assessment of the history of mankind shows us that the most shockingly malevolent intent can arise from human hearts and minds.

The Israeli security forces have started to remove metal detectors installed at entry points to al-Aqsa Mosque compound in the occupied East Jerusalem. Sheikh Najeh Bakirat, the director of al-Aqsa Mosque, said overnight on Tueday that the move does not fullfil the demands of the Muslim worshippers as the security cameras are being kept. Israel installed metal detectors and security cameras after gunmen shot dead two Israeli guards near al-Aqsa compound - Islam's third holiest site - on July 14. Prime Minister Benjamin Netanyahu's cabinet voted to remove the metal detector gates after a meeting lasting several hours convening for a second time on Monday after they had broken off discussions a day earlier. Al Jazeera's Imran Khan, reporting from occupied East Jerusalem, said that hundreds of Palestinians protested against the security cameras with advanced face recognition software that won't be removed.

Each year, thousands of software vulnerabilities are discovered and reported to the public. Unpatched known vulnerabilities are a significant security risk. It is imperative that software vendors quickly provide patches once vulnerabilities are known and users quickly install those patches as soon as they are available. However, most vulnerabilities are never actually exploited. Since writing, testing, and installing software patches can involve considerable resources, it would be desirable to prioritize the remediation of vulnerabilities that are likely to be exploited. Several published research studies have reported moderate success in applying machine learning techniques to the task of predicting whether a vulnerability will be exploited. These approaches typically use features derived from vulnerability databases (such as the summary text describing the vulnerability) or social media posts that mention the vulnerability by name. However, these prior studies share multiple methodological shortcomings that inflate predictive power of these approaches. We replicate key portions of the prior work, compare their approaches, and show how selection of training and test data critically affect the estimated performance of predictive models. The results of this study point to important methodological considerations that should be taken into account so that results reflect real-world utility.

In this study, the wind data series from five locations in Aegean Sea islands, the most active `hotspots' in terms of refugee influx during the Oct/2015 - Jan/2016 period, are investigated. The analysis of the three-per-site data series includes standard statistical analysis and parametric distributions, auto-correlation analysis, cross-correlation analysis between the sites, as well as various ARMA models for estimating the feasibility and accuracy of such spatio-temporal linear regressors for predictive analytics. Strong correlations are detected across specific sites and appropriately trained ARMA(7,5) models achieve 1-day look-ahead error (RMSE) of less than 1.9 km/h on average wind speed. The results show that such data-driven statistical approaches are extremely useful in identifying unexpected and sometimes counter-intuitive associations between the available spatial data nodes, which is very important when designing corresponding models for short-term forecasting of sea condition, especially average wave height and direction, which is in fact what defines the associated weather risk of crossing these passages in refugee influx patterns.

It is an idea first conceived 50 years ago by the ex-Nazi ballistic missile engineer credited with inventing the V-2 rocket and revolutionising the American space programme. Now, Lockheed Martin has revealed its version of the system that could one day take man to Mars. The team will build a full-scale habitat prototype in the Space Station Processing Facility at NASA's Kennedy Space Center and a next-generation deep space avionics integration lab near Johnson Space Center. A full-scale prototype of the deep space habitat will be built by refurbishing the Donatello Multi-Purpose Logistics Module (MPLM) flown in the space shuttle payload bay and used to transfer cargo to the International Space Station. The recycled rocket programme was originally put forward by German aerospace engineer Wernher von Braun.

Google parent Alphabet on Monday reported a quarterly profit of $3.5 billion, in a sharp decline from a year ago, with a massive fine by the European Commission biting into earnings. The technology giant reported that revenue grew to $26 billion in the recently ended quarter, and that profit would have tallied nearly $6.3 billion if it weren't for a $2.74 billion antitrust fine levied on search engine Google by the European Commission. The earnings for the quarter fell 28 percent from the same period last year. Google's parent company Alphabet says its quarterly profits took a hit because of a $2.74 billion anti-trust fine imposed by the European Union Alphabet announced separately that Google chief executive Sundar Pichai would join Alphabet's board of directors. Pichai is responsible for Google s product development and technology strategy, as well as the company s day-to-day-operations.