Shinji Mikami, who directed the original "Resident Evil" and "Resident Evil 4," the two most influential games in the series, recently announced his departure from Tango Gameworks, the studio he founded after leaving Capcom. His influence looms large over the current remake, but Hirabayashi said Mikami hasn't had any input into the remake. Mikami directed the first game's remake for the GameCube, which set the bar for transformative video game remakes back in 2002. But this time around, Mikami just meets up with the team for drinks in a friendly capacity.

The latest innovations in artificial intelligence (AI) are pushing the boundaries of what's possible, what's practical and what people are coming to expect from their financial institutions. As major brands across multiple industries incorporate the first wave of bots, machine learning, robotic process automation and natural machine language into their services, consumers are navigating more of their daily tasks on their own, in real time. Those experiences are having a profound impact on financial services, as customers look for quick, frictionless ways to handle more financial tasks themselves, whenever it's most convenient. AI technologies can satisfy the growing demand for real-time, self-service experiences in a variety of ways, from supporting more voice-enabled payments and transactions to automating complex decision making and product recommendations. Many of the first AI developments are geared toward helping businesses extend their customer service as though they had limitless human resources.

There is no typecast for savvy AI businesses. They come in all sizes and represent an ever broadening swath of industry. Simply put, the era of artificial intelligence is remaking business as we know it. Businesses see AI as a long-term strategic priority. In a recent survey from Infosys, three-quarters of the respondents from large, multinational corporations cited AI as fundamental to the success of their organization's strategy.

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The innovation upsurge may in part be generational. "If you make partner today in a law firm, and if you were in college with Google, you have different expectations of technology," says Josh Becker, CEO of Lex Machina. The company tracks the activities of lawyers and judges using an artificial intelligence technique called natural language processing (NLP) to analyze court documents and figure out things like how a particular judge tends to rule on particular types of cases. It can also ferret out types of cases, such as patent or trademark, the specific IP a claim asserts, and all the attorneys involved. The startup boom also comes from a new generation of technology.

On the west coast of Australia, Amanda Hodgson is launching drones out towards the Indian Ocean so that they can photograph the water from above. The photos are a way of locating dugongs, or sea cows, in the bay near Perth--part of an effort to prevent the extinction of these endangered marine mammals. The trouble is that Hodgson and her team don't have the time needed to examine all those aerial photos. There are too many of them--about 45,000--and spotting the dugongs is far too difficult for the untrained eye. Deep learning is remaking Google, Facebook, Microsoft, and Amazon.

"The legal industry is ripe for innovation," says attorney and journalist Robert Ambrogi, who covers the role of technology in law. In an influential April 13 blog post, Ambrogi proclaimed a boom in legal tech startups based on a more than doubling of listings on startup directory AngelList. Ambrogi has since produced his own streamlined listing that currently has nearly 500 companies offering technologies to the legal industry. Several are courting attorneys who need better, cheaper ways to sort through the avalanche of legal filings, rulings, and spiderwebs of citations between cases, from the local to federal level. The innovation upsurge may in part be generational.

Ask the Google search app "What is the fastest bird on Earth?," and it will tell you. "Peregrine falcon," the phone says. "According to YouTube, the peregrine falcon has a maximum recorded airspeed of 389 kilometers per hour." That's the right answer, but it doesn't come from some master database inside Google. When you ask the question, Google's search engine pinpoints a YouTube video describing the five fastest birds on the planet and then extracts just the information you're looking for.

Fei-Fei Li is a big deal in the world of AI. As the director of the Artificial Intelligence and Vision labs at Stanford University, she oversaw the creation of ImageNet, a vast database of images designed to accelerate the development of AI that can "see." And, well, it worked, helping to drive the creation of deep learning systems that can recognize objects, animals, people, and even entire scenes in photos--technology that has become commonplace on the world's biggest photo-sharing sites. Now, Fei-Fei will help run a brand new AI group inside Google, a move that reflects just how aggressively the world's biggest tech companies are remaking themselves around this breed of artificial intelligence. Intel Looks to a New Chip to Power the Coming Age of AI Giant Corporations Are Hoarding the World's AI Talent OpenAI Joins Microsoft on the Cloud's Next Big Front: Chips Facebook Manages to Squeeze an AI Into Its Mobile App Giant Corporations Are Hoarding the World's AI Talent Giant Corporations Are Hoarding the World's AI Talent Alongside a former Stanford researcher--Jia Li, who more recently ran research for the social networking service Snapchat--the China-born Fei-Fei will lead a team inside Google's cloud computing operation, building online services that any coder or company can use to build their own AI. This new Cloud Machine Learning Group is the latest example of AI not only re-shaping the technology that Google uses, but also changing how the company organizes and operates its business.

Fei-Fei Li is a big deal in the world of AI. As the director of the Artificial Intelligence and Vision labs at Stanford University, she oversaw the creation of ImageNet, a vast database of images designed to accelerate the development of AI that can "see." And, well, it worked, helping to drive the creation of deep learning systems that can recognize objects, animals, people, and even entire scenes in photos--technology that has become commonplace on the world's biggest photo-sharing sites. Now, Fei-Fei will help run a brand new AI group inside Google, a move that reflects just how aggressively the world's biggest tech companies are remaking themselves around this breed of artificial intelligence. Alongside a former Stanford researcher--Jia Li, who more recently ran research for the social networking service Snapchat--the China-born Fei-Fei will lead a team inside Google's cloud computing operation, building online services that any coder or company can use to build their own AI.