Self-driving cars in Germany might end up having "black boxes" that can record details of accidents, similar to planes, Reuters reports. Sources say that the proposal from Germany's Transport Minister, Alexander Dobrindt, will also require that riders stay seated in front of the steering wheel, though they won't have to pay attention to traffic or actually steer. As you've probably guessed right now, the legislation follows the recent Tesla Autopilot-related driver death. Regulators and car companies alike will have to work even harder to prove the safety of self-driving cars.

For clear understanding of machine learning algorithms, strong grasp of some mathematical concepts is essential. Let's begin with gradient concept Shoot me a message if you'd like me to explain a math concept with a story.

When evaluating a machine learning algorithm on a regression problem, you are given a number of different performance measures to review.

The U.S. Air Force has awarded BAE Systems' U.S. subsidiary a three-year, 9.4 million contract to help the service branch develop, integrate and demonstrate a machine learning platform. BAE Systems Inc. will explore latest machine learning advancements to support the Air Force's efforts to apply analytics to address space situational awareness challenges as well as leverage high-performance computing and reasoning visualization architectures, the Defense Department said Friday. The Air Force also seeks to increase its ability to detect and predict new complex scenarios through the project. BAE systems will perform the services in Massachusetts and Virginia and is scheduled to finish July 15, 2019. The Air Force Research Laboratory obligated 868,750 in fiscal 2016 research, development, test and evaluation funds at the time of award.

Imagine if you could predict people's behaviour. Even if just for simple tasks like texting (and adding emojis, a brand new only-beta feature) to your chat. Well, now come back to reality as Swiftkey is already doing it. SwiftKey learns from previous SMS messages and output predictions based on currently input text and what it has learned giving you word suggestions following your writing style. Swiftkey has been funded in 2008 and bought by Microsoft earlier this year.

Coding will join this list in time, however, where it differs wildly from the afore mentioned examples is it is unlikely to be lovingly preserved for future generations to admire, fiddle with or better still, reactivate. Its essence will not be reified for one specific reason – it can't be touched and humans value tactility. We touch immediately, both inside and outside the womb. Today, we find ourselves at a pivotal moment in our existence and about to experience an exponential period of rapid technological growth the likes of which is quite probably beyond our comprehension and at a base level, will have serious implications for coding. We rather arrogantly think that because we have a good grasp of our own technological advancement so far, we can somehow predict the mass cultural and behavioural shift about to happen as we question our own skills in the world. Us techies hold on to the notion that we are the masters of code, and we will be forever commanding line by line, the computers to do our bidding.

It is a strong indicator of today's globalized world and rapidly growing access to Internet platforms, that we have users from over 188 countries and 500 cities globally using our Text Analysis and News APIs. Our users need to be able to understand and analyze what's being said out there, about them, their products, services, or their competitors, regardless of the locality and the language used. Social media content on platforms like Twitter, Facebook and Instagram can provide unrivalled insights into customer opinion and experience to brands and organizations. A look at online review platforms such as Yelp and TripAdvisor, as well as various news outlets and blogs, reveals similar patterns regarding the variety of language used. Therefore, no matter if you are a social media analyst, or a hotel owner trying to gauge customer satisfaction, or a hedge fund analyst trying to analyze a foreign market, you need to be able to understand textual content in a multitude of languages.

"Yet, a major challenge stands between the dream assistant and the current reality. It's called the multi-agent problem, and most companies are reluctant to talk about it," Jolley writes. "The solution will ultimately determine how much of an impact assistants will have." Jolley writes, "How does an assistant, with limited knowledge of the world and a limited set of isolated agents, many of which might claim to do the same thing – choose which one to activate for every command in a way that will make users happy?" Much more in the full article – recommended – here. MacDailyNews Take: We're still in the infancy of personal assistants and artificial intelligence.

Artificial intelligence is a branch of computer science that deals with making the computers or a robot controlled by a computer, or software think intelligently just like humans. The term was first coined by John McCarthy in 1956 at the MIT, Massachusetts Institute of Technology. According to him, AI is "the science and engineering of making intelligent machines, especially intelligent computer programs". The field of AI draws upon computer science, psychology, mathematics, linguistics, neuroscience, philosophy and artificial psychology. The major goal of AI is creating expert intelligent systems which can learn, explain and advice the users and implementing human intelligence in the machines.

Now, the video game has a scientific connection. Microsoft has made Project Malmo available for programmers on GitHub via an open-source license. This platform uses the world of Minecraft to test advancements in artificial intelligence research. Before this move, the system was only used in private viewing by computer scientists. "We're trying to put out the tools that will allow people to make progress on those really, really hard research questions," Katja Hofmann said, the leader of Project Malmo and a researcher in Microsoft's research lab in Cambridge, UK.