Gamescom, the world's largest video game event, has just taken place in Cologne, bringing 400,000 visitors – including Angela Merkel – to the vast Koelnmesse for a week of hype and hands-on action. Here are the 11 games we most enjoyed amid the chaos. This long-awaited platformer matches its astonishing 1930s cartoon art-style with manic gameplay inspired by classic console titles from the 1980s and 90s. The run-and-gun action is deceptively tricky, thanks to some seriously challenging bosses, but its meticulous detail will keep you in awe while you die over and over again. Gets extra points for its soundtrack, composed by a 10-piece ragtime jazz band (including the occasional tap shoe sound effects).

Uber has had their fair share of press, both good and bad. This August 5, 2014 file photo shows then General Electric CEO Jeff Immelt. He's said to be in the running to lead Uber. SAN FRANCISCO -- Uber's search for a new chief executive to replace ousted co-founder Travis Kalanick echoes with one name: former General Electric CEO Jeff Immelt. The 61-year-old careerist announced in June plans to retire after 16 years at GE's helm, staying on as chairman until Dec. 31.

Commonsense reasoning is in principle a central problem in artificial intelligence, but it is a very difficult one. One approach that has been pursued since the earliest days of the field has been to encode commonsense knowledge as statements in a logic-based representation language and to implement commonsense reasoning as some form of logical inference. This paper surveys the use of logic-based representations of commonsense knowledge in artificial intelligence research.

Convolutional dictionary learning (CDL or sparsifying CDL) has many applications in image processing and computer vision. There has been growing interest in developing efficient algorithms for CDL, mostly relying on the augmented Lagrangian (AL) method or the variant alternating direction method of multipliers (ADMM). When their parameters are properly tuned, AL methods have shown fast convergence in CDL. However, the parameter tuning process is not trivial due to its data dependence and, in practice, the convergence of AL methods depends on the AL parameters for nonconvex CDL problems. To moderate these problems, this paper proposes a new practically feasible and convergent Block Proximal Gradient method using a Majorizer (BPG-M) for CDL. The BPG-M-based CDL is investigated with different block updating schemes and majorization matrix designs, and further accelerated by incorporating some momentum coefficient formulas and restarting techniques. All of the methods investigated incorporate a boundary artifacts removal (or, more generally, sampling) operator in the learning model. Numerical experiments show that, without needing any parameter tuning process, the proposed BPG-M approach converges more stably to desirable solutions of lower objective values than the existing state-of-the-art ADMM algorithm and its memory-efficient variant do. Compared to the ADMM approaches, the BPG-M method using a multi-block updating scheme is particularly useful in single-threaded CDL algorithm handling large datasets, due to its lower memory requirement and no polynomial computational complexity. Image denoising experiments show that, for relatively strong additive white Gaussian noise, the filters learned by BPG-M-based CDL outperform those trained by the ADMM approach.

Small convoys of partially driverless lorries will be tried out on major British roads by the end of next year, the government has announced. A contract has been awarded to the Transport Research Laboratory (TRL) to carry out the tests of vehicle "platoons". Up to three lorries will travel in formation, with acceleration and braking controlled by the lead vehicle. But the head of the AA said platoons raised safety concerns. The TRL will begin trials of the technology on test tracks, but these trials are expected to move to major roads by the end of 2018.

Fintech is a lucrative yet quite saturated market. In order to stay competitive, businesses should keep track of the emerging trends and be able to capitalize on them before their competitors do. Artificial intelligence is currently among the most promising fintech trends. Leading financial brands such as Capital One, MasterCard, as well as hundreds of startups have set the pace for the adoption of virtual financial advisors. If you want to stay ahead of your competition or simply explore the opportunities for AI in fintech, then this article is for you.

A new robot will enable street artists to create murals in places that were previously impossible or too expensive to reach. Estonia-based company SprayPrinter has developed a prototype for a robot that can scale buildings and towers to create a street art painting of whatever image it's programmed to. In its first full-scale demonstration, it created a giant, five-color mural of a woman on a chimney with just one pass by switching colors as it sprayed. SprayPrinter has developed a prototype for a robot that can scale buildings to create street art. 'The Chimney hack was very different from what we have done so far,' Mihkel Joala, inventor of the original SprayPrinter, said.

Germany is working on implementing a handful of new rules for autonomous cars that address ethical questions that come with the technology. In June, the ethics commission of the Federal Ministry of Transport and Digital Infrastructure -- made up of 14 scientists and legal experts -- released a report with guidelines it believed self-driving vehicles should be designed to follow. This week, the ministry said it would implement and enforce those guidelines. One of the proposed rules says that human life should always have priority over property or animal life and another stipulates that a surveillance system, like a black box, should record the activity so that it can be determined later on who was at fault during an accident -- the driver or the technology. Additionally, drivers should get to decide what personal information is collected from their vehicle, so that data can't be used to customize advertising, for example.

Henri Waelbroeck, director of research at machine learning trade execution system Portware, says rather poetically that the system "reads the tea leaves" in market data to distinguish different sorts of orders and execute trades more efficiently. Portware uses artificial intelligence to help traders select the best algorithm for particular market conditions, asset class, broker, venue etc., interacting with the order flow and computing a mind-boggling array of variables in real time. Say you are buying a stock, and you predict there is likely to be more orders hitting the bid side of the spread in the next five minutes, you should be able to operate an efficient algorithm that only posts limit orders and collects the spread as it executes. Using an algorithm that crosses the spread in this instance would be wasteful since you expect order flow to be coming your way. Waelbroeck, formerly a professor at the Institute of Nuclear Sciences at the National University of Mexico, whose specialisms include genetic algorithms and chaos theory, said: "Just throwing machine learning at problems usually doesn't give a very good answer. You need to have a good analytical understanding of what's going on and this usually gives you a baseline model and then you find opportunities to insert machine learning tactically to exploit opportunities to improve the models."

Gaurav Chakravorty, co-founder of AI investment advisors qplum, likes to use sporting analogies to illustrate changing trends within finance. The way high frequency trading (HFT) seemed to work like magic in the old days reminds him of Manchester United under Sir Alex Ferguson. Between 1993 and 2013 Manchester United won the English Premier League 13 times, an incredible record. The truth was Ferguson used a machinery that other clubs had not yet happened upon. He would scout clubs in Europe for talented youngsters and be willing to pay top dollar for young stars without a proven track record at a big club.