For the past two months, the Guardian has been testing a Facebook Messenger bot, "Sous-chef," that provides recipe suggestions to people based on what they had in their fridges. Now, it's using the learnings to shape its main news bot, which launched a week ago. It's too early to get data on how many people are actively using the news app, though the Guardian's 6.2 million Facebook followers all have access to the bot. We spoke to Martin Belam, The Guardian's social and new formats editor; and Chris Wilk, group product manager for off-platform, about what they've learned. Keep it simple The bot has a simple setup: Users enter specific ingredients like "salmon" or types of cuisine, dietary requirements, and specific dishes, to get started.

The online dating service on Tuesday announced a partnership with music streaming site Spotify that will enable a brand new feature for those looking for a romantic match. Taking Tinder's swiping feature a step further, the Anthem will refer users who share similar musical interests. Tinder would pull "liked" brands and musical artists from Facebook pages, akin to the site's "common" or "shared interests" recommendations. In addition, Tinder is launching Tinder Music, which gives users set music themes that help them create their favorite playlists.

Rejoice, sports and console gaming fans: ESPN's self-titled streaming app WatchESPN is now available on the PlayStation 4. According to the network, subscribers can now access ESPN's live and on-demand content on every major streaming device, and non-subscribers can use the app to browse short-form clips and highlights. So now you can switch between a heated game of Call of Duty and the drone racing championships without putting down your DualShock 4. "Gaming consoles have historically attracted significant engagement in minutes consumed for WatchESPN," ESPN/Disney Senio VP Sean Breen said in a statement, "and with today's launch, the app increases its distribution footprint to reach fans on the most widely adopted platforms." Unfortunately for cord-cutters, users will still need a cable subscription to access the majority of ESPN's streaming content, but those with an authenticated subscription will have access to all of ESPN's subsidiaries including ESPNEWS, ESPN Deportes, SEC Network, ESPN Goal Line and more. While WatchESPN is also available for computers, smartphones and tablets, users on older PlayStaion consoles will have to wait a bit longer for a PS3 version of the app. That said, ESPN promises it will arrive "in time for the remainder of the college football season."

We're experiencing artificial intelligence every day of our lives, even if we don't know it or just take it for granted. Whether it's Spotify using machine learning to give us a better music playlist, or Apple using natural language processing to make Siri our digital assistant, AI is truly everywhere. As the leader of Salesforce's Marketing and Analytics Clouds, I want to outline what exactly intelligence means for marketing and analytics professionals. Starting from the top, we all know and can understand that customers expect faster, smarter, more personalized engagement. But delivering on these expectations is challenging.

This is almost like part two of my macOS Sierra review. I had a chance to test Apple's newest desktop operating system at the beginning of the summer, just before it was released in a public beta. The software hasn't changed much since, but a few of the headline features were missing from that earlier build; Apple said they wouldn't be available until the final version shipped in the fall. As it happens, Sierra arrives today as a free upgrade, so I'm picking up right where I left off. What follows is my full review of Sierra, though if you read my earlier preview, or have been using the software yourself, you won't find many big surprises here.

Ever have one of those mornings where you plop out of bed, rub your eyes, and realize you've woken up ninety years earlier than you'd originally planned? That's the set-up for Passengers, the forthcoming sci-fi thriller in which Jennifer Lawrence and Chris Pratt play intergalactic travelers whose 120-year hibernation aboard the spaceship Avalon is unexpectedly interrupted, leaving them stranded on their massive (and massively malfunctioning) vessel. The first trailer for the movie, which you can watch above, starts out cheerily enough, with Lawrence and Pratt making the most of their unexpected time together, as they play with robots, and hit up a bar overseen by a robotic Michael Sheen (Is his character named Mo-Sheen? Let's hope he's named Mo-Sheen). But soon, the Avalon starts getting glitchy, sending our hero and heroine through a dizzying gauntlet of gravity-defying leaps, stressful space-walks, and one VERY .GIF-fable smooch.

Just weeks ago 20th Century Fox released a trailer for the upcoming horror film "Morgan," and frankly it's not the best trailer. So then why is it worth talking about? The reason it has made such an impact on our industry is that the trailer was edited partially with the assistance of artificial intelligence, namely the IBM system'Watson.' What does this mean for our future in this industry? And more importantly, what does this mean for your job specifically?

Sony Pictures appeased movie fans on Tuesday by releasing the highly anticipated trailer for "Passengers" to the public, but it isn't the first promo for the film. The 2-minute teaser offers different scenes than what was shown at 2016 CinemaCon during Sony Pictures Presentation in April. While the original trailer for the Jennifer Lawrence-Chris Pratt sci-fi flick opened with just Pratt's character Jim waking up 90 years too soon into his century-long voyage to another planet, the new trailer immediately jumps into Lawrence's character Aurora's romance with him. The first scene (above) shows Jim, a mechanic, using a robot to ask Aurora, an accomplished New York journalist, out on a date. Of course, the two are the only awake passengers aboard the Starship Avalon with the rest of the guests in hibernation, so their choice of partners is limited.

In 1950, Alan Turing asked a provocative question: Can machines think? Now, the answer is clear. Evidence of machine learning is all around us. From simply performing a Google search which learns from previous searches, to services like Netflix which provide the viewer with relevant film recommendations based on earlier inputs. Speculation around whether machines will "take our jobs" has been prevalent when discussing the technology. In the marketing industry, the increasing use of tech in campaign delivery is leading many to question how machine learning will impact the marketer and whether it will negatively impact their role.

Beginning in September 2016 in Cambridge, the BM3C collaboration will bring together leading brain, cognitive, and computer scientists to conduct research in the field of unsupervised machine understanding of audio-visual streams of data, using insights from next-generation models of the brain to inform advances in machine vision. The vision is that this integrated cross-disciplinary research will lead to advances that are likely to change both our personal and professional lives - from helping clinicians improve elderly and disabled care to helping organizations maintain and repair complex machinery as well as a host of cross-industry applications. "In a world where humans and machines are working together in increasingly collaborative relationships, breakthroughs in the field of machine vision will potentially help us live healthier more productive lives," said Guru Banavar, Chief Scientist, Cognitive Computing and VP at IBM Research. "By bringing together brain researchers and computer scientists to solve this complex technical challenge, we will advance the state-of-the-art in AI with our collaborators at MIT." The BM3C will be led by Professor James DiCarlo, head of the Department of Brain & Cognitive Sciences (BCS) at MIT, who will be supported by a team of faculty members, researchers, and graduate students from both the Brain & Cognitive Sciences department and the MIT Computer Science and Artificial Intelligence Lab (CSAIL).