The history of video games has seen many fine upstanding leaders, prime ministers and presidents. Stoic Marion Bosworth from Call of Duty: Black Ops 2 who instigates the fight back against cyber terrorist Raul Menendez; The President in Saint's Row IV who must defend their country against an alien invasion; and who can forget President Ronnie in Bad Dudes who remains steadfast in his love of burgers, even after being kidnapped by DragonNinja? But sometimes these digitised demagogues fare less well, and understandably, it's these more troublesome characters that have come to mind this week. So here are what we feel are the six worst US presidents in games history. Add your own candidates in the comments section.

The rise of e-commerce over the last 10 years or so has forced retailers to adapt to the changes demanded by consumers. E-commerce growth continues to accelerate and outpace growth in the brick-and-mortar channel, and online sales accounted for almost 20% of total US sales this holiday season, based on preliminary estimates. In addition, department stores have offered discounts and promotions as a key tool to drive demand and bring consumers into stores. Over time, this strategy can dilute a store's brand and leave stores looking picked through. Also, it trains consumers to wait for discounts instead of buying products at full price. There has been a significant number of store closures in the last few years, and we expect that to accelerate in 2017 and in the following few years. As the department store channel shrinks, and more brands fight for less space, we think brands will need to be more creative, flexible and diversified in their approaches. One way brands can disrupt the more traditional wholesale channel without taking on the significant real estate risk that comes with opening their own stores is to open pop-up stores. With pop-ups, brands have complete creative control of the brand experience and how their messaging is communicated to consumers. They can tell the story they want to tell and explain in their own voice what the brand stands for. In some cases, brands use pop-ups more as an advertising tool than as a place to transact commerce. These kinds of pop-ups usually offer some kind of special experience to draw consumers into the store. Pop-ups can also be set up in locations other than malls, allowing brands to reach their target customers where they are. Retailers and brands can also use pop-ups to test the waters in the most expensive shopping areas, often at discounted rents, while landlords can use the temporary stores to show off the space to prospective long-term tenants. Mall operators are receptive to pop-ups, as they bring something new and unique to consumers. Real estate firm Related Companies has used pop-up shops at the Time Warner Center in New York City to provide a fresh feel and add variety for consumers.

The US auto safety regulator has cleared Tesla's Model S of defects that could have led to the death of a man who collided with a truck while using the car's Autopilot system. The US National Highway Traffic Safety Administration found no cause to order a recall of the vehicles, which have advanced driver aids capable of maintaining speed and distance to other cars on the road, lane position and overtaking. It placed responsibility for the accident primarily on the driver, former Navy Seal Joshua Brown. A Tesla spokesperson said: "The safety of our customers comes first, and we appreciate the thoroughness of NHTSA's report and its conclusion." Tesla chief executive Elon Musk took to Twitter to praise NHTSA's decision, highlighting the positives of its report.

Teacher tested and approved by educators across the United States, Quantum's AI software is proven in research studies to improve comprehension, problem solving skills and test scores by as much as 50%. Quantum's intelligent tutoring engines are integrated with existing web-based learning products, providing a strong competitive edge for distributing partners. A "technology think tank," Quantum is funded and supported by the U.S. Department of Education, the National Science Foundation and the National Institutes of Health.

Google is using the space above its search results to promote products owned by its parent company, Alphabet, Inc., it was reported on Thursday. The Internet search giant was found to utilize the precious space in order to push various products like its own Pixel phones as well as Nest smart thermostats and smokes detectors, and Android smart watches, The Wall Street Journal reported. Nest Labs is a Palo Alto, California-based company that manufactures thermostats, smoke detectors, and other home security products. It was acquired by Alphabet, Inc. in 2014 for $3.2billion. Google is using the space above its search results to promote products owned by its parent company, Alphabet.

Is it acceptable for a driverless car to deliberately swerve in a way that saves its own passengers yet kills a pedestrian? That and other ethical dilemmas related to artificial intelligence will be put under the microscope by Kiwi researchers receiving $400,000 in funding from the charitable Law Foundation trust. With AI technology set to increasingly transform transport, crime prevention and other areas the Otago University research aims to inform public policy over three years. "New technologies are rapidly transforming the way we live and work, and (this funding) will help ensure that New Zealand's law and policy keeps up with the pace of change," Law Foundation executive director Lynda Hagen said. Research project leader Colin Gavaghan said the legal, practical and ethical challenges posed by AI technologies, which learn and adapt for themselves, fascinated him.

A new report authored by a group of independent US scientists advising the US Dept. of Defense (DoD) on artificial intelligence (AI) claims that perceived existential threats to humanity posed by the technology, such as drones seen by the public as killer robots, are at best "uninformed". Still, the scientists acknowledge that AI will be integral to most future DoD systems and platforms, but AI that could act like a human "is at most a small part of AI's relevance to the DoD mission". Instead, a key application area of AI for the DoD is in augmenting human performance. Perspectives on Research in Artificial Intelligence and Artificial General Intelligence Relevant to DoD, first reported by Steven Aftergood at the Federation of American Scientists, has been researched and written by scientists belonging to JASON, the historically secretive organization that counsels the US government on scientific matters. Outlining the potential use cases of AI for the DoD, the JASON scientists make sure to point out that the growing public suspicion of AI is "not always based on fact", especially when it comes to military technologies.

After the US Presidential Election, many were furious at Facebook for helping to spread fake news. People were sharing stories that had little or no basis in reality, fuelling concerns that many votes were based on false beliefs. There was also the concern that it could lead to potentially violent incidents, as did happen. To combat the spread of fake news, it was recently revealed that Facebook would be using AI to help clamp down on illegitimate sources of news. Let's examine what this means. The US Election season sees a flurry of articles, all of it drenched in intense emotional responses due to the stakes involved.

The first FDA approval for a machine learning application to be used in a clinical setting is a big step forward for AI and machine learning in healthcare and industry as a whole. Arterys's medical imaging platform has been approved to be put into use to help doctors diagnose heart problems. It uses a self-teaching artificial neural network which has learned from 1,000 cases so far, and will continue to improve its knowledge and understanding of how the heart works with each new case it examines. In order to be approved by the US Food and Drug Administration (FDA), it had to pass tests to show it can produce results at least as accurately as humans are currently able to. The key difference though is that Arterys takes an average of 15 seconds to produce a result for one case, which a professional human analyst would expect to spend between 30 minutes to an hour working on.

The first FDA approval for a machine learning application to be used in a clinical setting is a big step forward for AI and machine learning in healthcare and industry as a whole. Arterys's medical imaging platform has been approved to be put into use to help doctors diagnose heart problems. It uses a self-teaching artificial neural network which has learned from 1,000 cases so far, and will continue to improve its knowledge and understanding of how the heart works with each new case it examines. In order to be approved by the US Food and Drug Administration (FDA), it had to pass tests to show it can produce results at least as accurately as humans are currently able to. The key difference though is that Arterys takes an average of 15 seconds to produce a result for one case, which a professional human analyst would expect to spend between 30 minutes to an hour working on. Arterys was founded by Fabien Beckers, John Axerio-Cilies, Albert Hsiao and Shreyas Vasanawala when they met at Stanford University with a shared passion for the transformative potential of machine learning.