Computer models are widely used across a range of scientific disciplines to describe various complex physical systems, however to perform full uncertainty quantification we often need to employ emulators. An emulator is a fast statistical construct that mimics the slow to evaluate computer model, and greatly aids the vastly more computationally intensive uncertainty quantification calculations that an important scientific analysis often requires. We examine the problem of emulating computer models that possess multiple, partial discontinuities occurring at known non-linear location. We introduce the TENSE framework, based on carefully designed correlation structures that respect the discontinuities while enabling full exploitation of any smoothness/continuity elsewhere. This leads to a single emulator object that can be updated by all runs simultaneously, and also used for efficient design. This approach avoids having to split the input space into multiple subregions. We apply the TENSE framework to the TNO Challenge II, emulating the OLYMPUS reservoir model, which possess multiple such discontinuities.

We are excited to bring Transform 2022 back in-person July 19 and virtually July 20 - August 3. Join AI and data leaders for insightful talks and exciting networking opportunities. Artificial intelligence (AI) is becoming increasingly mainstream – very quickly, and across a multitude of areas and applications. According to Jack Vernon, senior research analyst, European AI Systems, for IDC, 69% of organizations are either using AI already or plan to in the next 24 months. "But even more," Vernon said, "AI has clearly moved from the experimental phase to mission critical, with businesses realizing real value, from improved growth and revenue, to cost reduction, to operational efficiency. Now more than ever, businesses need an AI platform that is adaptive, shifting and adjusting to even the most unpredictable market conditions."

If you've been hanging out on Twitter lately, then you've probably noticed a profusion of AI-generated images sprouting all over your timeline like weird, algorithmic visions. These pictures have been generated using a new app called Dream, which lets anyone create "AI-powered paintings" by simply typing a brief description of what they want to see. The resulting artwork has its own particular aesthetic, defined by swirling shapes and incoherent objects. The real magic, though, is that no matter what you type, the app will generate something that is visually compelling (at least until we get too used to these toys) and that matches your prompt in often surprisingly apposite ways. Consider, for example, the image below: "Galactic Archaeology With Metal-Poor Stars."

Artificial intelligence is poised to take a large step out of the cloud and into edge computing, which will benefit edge AI hardware vendors. The shift from the cloud to edge AI, which includes devices, gateways and on premise services, will be driven by machine learning, or inference, and then by training, according to a report by ABI Research. Edge AI inference will increase from just 6% last year to 43% by 2023, according to ABI. When paired with machine learning and analytics, AI holds promise for Internet of Things applications, virtual reality, autonomous vehicles, and the rollout of 5G services. While there's still a lot of ground to cover before autonomous vehicles and virtual reality reach mass deployments, the report highlighted how AI can push adoption rates forward across various verticals.

The rapid growth of e-commerce is driving deep changes in logistics, from tightening up trucking capacity to elevating the importance of final-mile delivery processes. To respond, logistics managers now need to think in terms of systems that they can leverage today to make processes more efficient, while also keeping an eye on longer-term developments that will reshape tomorrow's possibilities. To gain a sharper picture of what e-commerce-related technologies logistics professionals should be watching, we reached out to consultants and analysts to develop a short-list of trends and solutions that need to be top of mind for today's savvy logistics professional. Several of thee include solutions currently in use, such as predictive analytics, supply chain control towers, and the continued digitization of freight forwarding; however, many, including blockchain-based traceability, driverless trucks, and even the advent of hyperloops, are all working through development, but promise to present bright new options in the future. Companies have long had dashboards to organize their metrics, but until recently, most of these approaches have been descriptive, meaning they look at past or current trends.

Lots of gangster movies end in a shoot-out. Director Ben Wheatley's new tough-guy flick, Free Fire, begins with shots fired--and never stops. The entire movie is a firefight. "It started from reading an FBI transcript of a gun battle in Miami that happened in the 1980s. It was kind of forensic blow-by-blow report," Wheatley says.

Looking back, it makes sense that nobody could agree on what Bon Iver's second album was called. Was it simply "Bon Iver," as some, including the Grammy Awards, referred to it? Or was it the more complicated "Bon Iver, Bon Iver," as many of the record's rave reviews had it? The lack of consensus five years ago reflected a growing uncertainty about Bon Iver's identity -- a mystery that only intensifies with Friday's release of an excellent new album "22, a Million." The answer seemed plain enough in 2008, when the first Bon Iver album appeared, a stark yet tender document titled "For Emma, Forever Ago" that singer-songwriter Justin Vernon created largely by himself in a remote hunting cabin in the Wisconsin woods.