A car is never just a car. Yes, there's the engine, windshield, and axle; these parts have been fundamental to cars since they were known as "horseless carriages." But the modern automobile is heavily computerized, with oxygen sensors, a stability controller, a powertrain module, and a vast network of other functions. Now, cars are more sophisticated than ever: Bluetooth, rear-view cameras, and zoned temperature controls are standard features in 2018 models. Too many people don't think about the vast amount of data collection that happens.

Apple CarPlay and Android Auto both come standard on the 2018 Crosstrek (Photo: Reviewed.com A car is never just a car. Yes, there's the engine, windshield, and axle; these parts have been fundamental to cars since they were known as "horseless carriages." But the modern automobile is heavily computerized, with oxygen sensors, a stability controller, a powertrain module, and a vast network of other functions. Now, cars are more sophisticated than ever: Bluetooth, rear-view cameras, and zoned temperature controls are standard features in 2018 models.

E-readers have become one of the most pervasive pieces of tech for many reasons. They survive alongside tablets because they're accessible -- Amazon's entry-level Kindle is just $80 -- and don't require daily charging. E-ink displays don't strain your eyes nearly as much as backlit screens, nor do they keep you up at night. Above all else, though, they can hold the entire works of Shakespeare countless times over while being thinner and lighter than any paperback. But this idea of portability, of condensing the written word into a format only a device can understand, is older than The Great Gatsby.

While the entertainment industry has certainly played its part in influencing the public mindset when it comes to technology, thought leaders and tech industry heavyweights are increasingly weighing in and putting their money where their mouths are by investing in the latest and greatest technological advances. This is especially true when it comes to AI. As one of the hottest talking points on the internet, AI is a subject that everyone seems to have an opinion on. However, few people get their information about AI from scholarly resources or those who actually use AI in the course of their work or research. To gain a better understanding of what AI really is (and what it isn't) we need to break down some of the most common myths about this 21st-century tool.

Gundam is heading to the big screen -- and, yes, we're talking about a live action adaptation, not a movie-length anime movie you can see in theaters. Legendary Entertainment and Gundam's creator, Japanese animation studio Sunrise, have announced that they're teaming up to create a film version of the classic robot saga at the Los Angeles Anime Expo. The franchise was established in 1979 with the animated series Mobile Suit Gundam, which helped popularize the "mecha" genre. It grew over the years to encompass several anime series, manga and video games, remaining relevant and popular even to this day. Unfortunately, the companies didn't reveal the movie's details, and it's unclear if it will remain faithful to Gundam lore.

The vast majority (80%) of media practitioners view the advent of artificial intelligence (AI) as on a par with the industrial revolution in terms of the potential impact it will have on their industry. Feelings are generally positive about the potential impact of the rise of AI with practitioners citing improved productivity and better targeting as notable advantages, but concerns over "less human control" are notable. These were the findings of a survey of more than 1,000 media practitioners from GroupM adtech platform Xaxis and IAB Europe which quizzed multiple tiers of the industry during the months of March and April this year. Almost a third (30%) of advertisers and publishers are not confident at all in understanding AI and how it could apply in their work, according to the survey, which also found that all respondents felt AI has a positive impact on their job with 62% believing it improves strategic decision making. More than three-quarters of respondents believe AI innovation is the next industrial revolution.

It feels like artificial intelligence crept into our lives almost without us knowing, helping us pick movies on Netflix, our favourite tunes on Spotify and buy things on Amazon. As it gets older and smarter, AI's reach will be staggering, with experts at the 2018 Davos World Economic Forum predicting there's a 50-per-cent chance artificial intelligence will outperform humans in all tasks in 45 years. Consider the ways it's already at work in our lives. There is face recognition to unlock our phones; fraud detection on credit cards; smart homes that call Uber, dim lights and lower the heat; fridges that give us recipes when we pull something out for dinner, and stoves that begin to preheat (because they talk to the fridge). All possible because AI – or "deep learning" technology – sorts and identifies huge swaths of data and connects the dots (or thinks) for us. In Davos, the big thinkers believe that in the next five to 25 years, AI will help teach kids in the classroom (there are already AI teaching assistants at some universities), write a Top 40 pop song and pen a New York Times bestseller.

Netflix is going all-in on anime, renewing another series and bringing in a bunch of new ones, it announced at the Anime 2018 festival. There'll certainly be a lot of variety, starting with season 2 of Aggretsuko (below, arriving in 2019) about a red panda who bristles against her quotidian life via nightly death metal karaoke sessions. It also revealed that the second season of vampire-fighting show Castlevania will debut on October 26th. Also debuting in spring of 2019 is Ultraman, a continuation of the classic 1960s Japanese series about a man who can transform into a giant alien to protect the Earth from invaders. Kengan Ashura, launching in 2019, has a 56-year-old protagonist hired by his Japanese firm as a gladiator to protection the corporate rights of the company he works for (yep).

I'm looking for a book or resource that does a good job at explaining the history of machine learning. I want it to cover the impact it's had on industry and in our daily lives. I'm not looking for a technical document although I have no issue if it includes technical detail. I'm essentially looking for a resource I can use to fill in the gaps in my knowledge so that I can explain machine learning in a broader context to beginners