Integrable partial differential equation (PDE) systems are of great interest in natural science, but are exceedingly rare and difficult to discover. To solve this, we introduce OptPDE, a first-of-its-kind machine learning approach that Optimizes PDEs' coefficients to maximize their number of conserved quantities, $n_{\rm CQ}$, and thus discover new integrable systems. We discover four families of integrable PDEs, one of which was previously known, and three of which have at least one conserved quantity but are new to the literature to the best of our knowledge. We investigate more deeply the properties of one of these novel PDE families, $u_t = (u_x+a^2u_{xxx})^3$. Our paper offers a promising schema of AI-human collaboration for integrable system discovery: machine learning generates interpretable hypotheses for possible integrable systems, which human scientists can verify and analyze, to truly close the discovery loop.

Bots are now a key starting point for conversations with customers, so it's vital that companies think through how they use them. Artificial intelligence is a technology that has already transformed how consumers interact with their home devices, with brands, even with their cars. It has shown benefits both for companies and customers, but what's next for virtual agents and their kin? In this webinar, P.V. Kannan, coauthor of "The Future of Customer Service Is AI-Human Collaboration," discusses how virtual agents are proving themselves as a technology and the ways AI-driven customer service will empower contact center agents to provide great customer experiences. Get periodic email updates on upcoming webinars, panel discussions, and other special events.

Automation and artificial intelligence are transforming the customer service industry and raising difficult questions about the role that humans will play in the workplace of the future. For years, pundits have been largely relegated to one of two camps: mass unemployment predictors and budget-minded capitalists (paywall). But recently, more and more thought leaders have shifted into a third camp, which argues that the future of customer service and business in general will be rooted in AI-human collaboration. As the cofounder and VP of a support automation platform that leverages human experts to improve AI, I believe these pundits get a lot right, particularly in their exploration of how AI and automation can help human workers. However, this discussion often frames AI-human collaboration as a simple side-by-side partnership in which AI systems handle easy cases and humans tackle those that are more challenging or require some form of emotional intelligence.

A creepy game developed by MIT will let people control a real individual this Halloween. The strange social media experiment called'BeeMe' lets online participants control an actor while hearing and seeing everything he does. Internet users can control the avatar – who has to defeat an an evil AI – by crowd-sourcing him commands and then up-voting or down-voting commands from other people. The dystopian game resembles an episode of Black Mirror called'White Christmas' where a character called Matt can see and hear what his friend Harry is doing via a neural chip. Through Harry's'Z-Eyes' Matt gives his friend fabricated anecdotes to impress people at an office Christmas party.

You've likely heard the horror stories about artificially intelligent beings – but now, you can read the tales penned by one. A team of MIT researchers has unveiled an AI horror writer, Shelley, named for the famed Frankenstein author. After training on scary stories collected from Reddit, Shelley can now generate her own nightmare-inducing creations, and even collaborate with humans in effort to write the world's first AI-human horror anthology. You've likely heard the horror stories about artificially intelligent beings – but now, you can read the tales penned by one. A team of MIT researchers has unveiled an AI horror writer, Shelley, named for the famed Frankenstein author.