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

UK broadcaster Channel 4's progressive approach to content is seeping through to its ad strategy. While publicly-owned and touting a successful on-demand digital arm, the television company still relies on good old TV advertising for a large part of its revenue. However, gains from ad spend, which makes up about 93% of its total revenue, dipped around £40m last year as a result of a TV ad market decline of 3%. To offset this, Channel 4 has been working to make its ad spots more effective and accessible to a wider pool brands without making its programming more ad-laden, and has turned to advertising technology as a possible solution. Currently in trial and dubbed'Contextual Moments', the broadcaster has unveiled AI-driven ad tech that allows brands to target nuanced moments and scenarios within a programme, and place a relevant ad within the following break.

We are a small team based in Sweden who are passionate about music, entertainment and large sound experiences. When we realised that the majority of our friends and family wanted to have a sound system, home cinema rig and a portable speaker in their lives, yet felt off-put by the complicated, stationary and often expensive sound systems on the market - we decided to do something about it. Our journey began in 2014. With the help from backers just like yourself, we crowdfunded and developed a successful stackable and reshapeable artificial intelligence speaker called AiFi. Today, after further development of the unexplored potential in our first product, we have a new one.

A new algorithm could dramatically slash the time it can take computers to recommend movies or route taxis. The new algorithm developed by Harvard University researchers solves optimization problems exponentially faster than previous algorithms by cutting the number of steps required. Surprisingly, this approach works "without sacrificing the quality of the resulting solution," says study senior author Yaron Singer at Harvard University. Optimization problems seek to find the best answer from all possible solutions, such as mapping the fastest route from point A to point B. Many algorithms designed to solve optimization problems have not changed since they were first described in the 1970s. Previous optimization algorithms generally worked in a step-by-step process, with the number of steps proportional to the amount of the data analyzed.

Hey, did my congressman really say that? Is that really President Donald Trump on that video, or am I being duped? New technology on the internet lets anyone make videos of real people appearing to say things they've never said. Republicans and Democrats predict this high-tech way of putting words in someone's mouth will become the latest weapon in disinformation wars against the United States and other Western democracies. This technology uses facial mapping and artificial intelligence to produce videos that appear so genuine it's hard to spot the phonies.

Scott Cohen, co-founder of the large digital distribution company The Orchard, recently said that "there will be a number one song that's 100% AI-written." Which is a scary thought, not only because it will displace millions of people from work, but because it removes the creativity and humanism from music. It's not unthinkable that decades from now much of the music that we listen to will be created using advanced software that figures out the optimum beats and lyrics for record sales. Is that a world that we want to live in? Technology is great, it's awesome, and it's saving lives at a rapid pace, but to create music with it is a completely different situation.