It's no great revelation that we live in a surveillance society. A U.S. citizen is reportedly captured on CCTV around 75 times per day. That figure is even higher elsewhere in the world. In the United Kingdom, this number is considerably greater, with your average Brit likely to be caught on surveillance cameras up to 300 times in the same period. But a lot of existing CCTV networks still rely on people to operate them.

The AML/KYC regulatory landscape continues to impose greater costs to financial institutions as they begin to collect, refresh, and analyze more and more customer data. New Customer Due Diligence (CDD) requirements set forth by the Financial Crimes Enforcement Network (FinCen) include the Final Rule for beneficial ownership and control, and with effect from May 11, 2018, and the EU 5th AML Directive, which also mandates beneficial ownership collection for legal entity customers. Fines for AML and KYC deficiencies have topped billions of USD for both US and EU banks for lack of sufficient AML/KYC programs, failure to file Suspicious Activity Reports (SARs), CDD deficiencies, and other violations. The implications for financial institutions go well beyond additional documentation for customers to complete. The current AML/KYC regulatory framework calls for the implementation of a substantial framework to collect and analyze customer data on both a retroactive and ongoing basis.

Cylance, a cybersecurity startup that leverages artificial intelligence and machine learning to combat online attacks, has raised $120 million in a series E round of funding led by Blackstone Tactical Opportunities, with participation from other unnamed investors. Founded in 2012 by Stuart McClure, an entrepreneur who sold an Internet security firm to McAfee for $86 million in 2004, Cylance is an endpoint protection platform designed to thwart malware, ransomware, and other forms of advanced threats using AI. Its suite of algorithm-based security protocols essentially inspect networks for weaknesses and shuts them down if any are detected. Cylance claims in excess of 4,000 customers, and said that it has revenues of $130 million for the 2018 fiscal year, representing a year-on-year growth of 90 percent. Prior to now, Cylance had raised around $177 million, including a $100 million tranche two years ago, and with another $120 million in the bank it said that it plans to double down on its global expansion efforts, with a particular focus on Europe, the Middle East, and Asia Pacific, and extend its product range.

Cylance, a cybersecurity startup that leverages artificial intelligence and machine learning to combat online attacks, has raised $120 million in a series E round of funding led by Blackstone Tactical Opportunities, with participation from other unnamed investors. Founded in 2012 by Stuart McClure, an entrepreneur who sold an Internet security firm to McAfee for $86 million in 2004, Cylance is an endpoint protection platform designed to thwart malware, ransomware, and other forms of advanced threats using AI. Its suite of algorithm-based security protocols essentially inspect networks for weaknesses and shuts them down if any are detected. Cylance claims in excess of 4,000 customers, and said that it has revenues of $130 million for the 2018 fiscal year, representing a year-on-year growth of 90 percent. Prior to now, Cylance had raised around $177 million, including a $100 million tranche two years ago, and with another $120 million in the bank it said that it plans to double down on its global expansion efforts, with a particular focus on Europe, the Middle East, and Asia Pacific, and extend its product range.

A deep learning neural network trained on 50,000 crystal structures of inorganic materials has acquired the ability to recognise chemical similarities and predict new materials. One way to find out whether two elements from the periodic table will form a crystalline material is the tried and trusted'shake and bake' – mix them together at a range of different stoichiometries and hope for the best. Binary materials are thus very well covered in the scientific literature, but this method can't keep up with the vastly more complex combinatorial possibilities afforded by three or more elements. Therefore, predictions of which elements will combine in which ratios to form regular solids are necessary and they hold the promise of new materials with desirable or even unprecedented properties. Current prediction methods typically use evolutionary algorithms and apply them to random starting structures.

This translation by Jeffrey Ding, edited by Paul Triolo, covers some of the most interesting parts of the Standards Administration of China's 2018 White Paper on Artificial Intelligence Standardization, a joint effort by more than 30 academic and industry organizations overseen by the Chinese Electronics Standards Institute. Ding, Triolo, and Samm Sacks describe the importance of this white paper and other Chinese government efforts to influence global AI development and policy formulation in their companion piece, "Chinese Interests Take a Big Seat at the AI Governance Table." Historical experience demonstrates that new technologies can often improve productivity and promote societal progress. But at the same time, as artificial intelligence (AI) is still in the early phrase of development, the policies, laws, and standards for safety, ethics, and privacy in this area are worthy of attention. In the case of AI technology, issues of safety, ethics, and privacy have a direct impact on people's trust in AI technology in their interaction experience with AI tools.

Google plans to open an artificial-intelligence research center in Accra, Ghana, the latest in a string of investments the tech company has made in Africa. The research center will focus on using AI in areas such as healthcare, agriculture and education, Google said. "We're committed to collaborating with local universities and research centers, as well as working with policy makers on the potential uses of AI in Africa," t he company In a blog post on Wednesday. The new AI center in Ghana will open later this year and include machine learning researchers and engineers, Google said, thought it did provide details on the number of staff it will hire. Google CEO Sundar Pichai promised last year during a visit to Lagos that Google would continue raising its profile on the continent.

How likely is it that Artificial Intelligence (AI) will, in the coming decades, be used to automate millions, tens of millions or even hundreds of millions of jobs? And will that have an impact on the diamond trade? The possible future impact of AI is being hotly debated by high-tech and other experts. Fundamentally, on one side you have billionaire Elon Musk, the founder of electric car maker Tesla, and on the other side many of the biggest stars of the tech firmament, such as Facebook's Mark Zuckerberg, among others, who believe that Musk is overestimating the power of AI and the speed of its likely development. The debate becomes even more interesting, especially to politicians and economists, when Musk adds in the argument that a universal basic income (UBI) – which really means government allowances to people who will not be able to find jobs due to AI replacing them.

In Detroit: Become Human, the ultimate challenge is deciding what it means to be alive. The kinds of questions that this game forces you to ponder – what it means to be alive as a human, what it means to not be, and whether it's possible to switch between – are the kinds of questions that the greats of both both science fiction and science fact have been asking themselves for decades. But Detroit: Become Human makes them immediately real, lifting them out of the abstract and forcing you to confront what it actually means to be a person, in perhaps the most personal way ever. Starting the game, you're dropped into 2038, which is largely like our current world except is filled with androids that help out around the home. And you're dropped into the heads of three of those androids, all of whom are at different stages of figuring out their role in this new and computer-populated world: one who is tasked with hunting down other rogue androids, and two who are stuck in domestic servitude, each teetering on the brink of their own breakthrough.

The Space Invaders arcade video game, celebrating its 40th anniversary, is a classic piece of software credited as one of the earliest digital shooting games. As a game designer and teacher of games, I know how meaning is carried from designer to the mechanics of play. As a game studies researcher, I also know how games reveal myth, meaning and culture. An analysis of Pac-Man, for instance, shows how that game embodies many values of its day – including consumerism, drug use and gender politics. The message in Space Invaders is as basic as the graphics: when faced with conflict, players have no option except to blast it away.