Creating and managing integrated schedules for upstream assets is a complex and challenging task. Schedulers must assign rigs and other equipment to well delivery, facility, and maintenance activities in the most efficient sequence, while keeping business goals in mind and avoiding offset well violations. DSO/Upstream scheduling and optimization software tames the complexity of integrated, optimized rig scheduling with powerful decision support technology and advanced analytics that rapidly identifies optimal schedules to meet business goals. Build and manage rig schedules, and incorporate other resources and activities for a comprehensive operations schedule. "What if?" scenarios show schedulers exactly how decisions will influence costs, production, equipment use, and financial goals.

The National Information Infrastructure (NII) will have profound effects on the lives of every citizen. It promises to deliver to people in their homes and offices a vast array of information in many forms, changing the ways in which business is conducted, offering new educational opportunities, bringing geographically dispersed library resources and entertainment materials to everyone's doorstep. It will connect people to people, and help them with their jobs and tasks. For the NII to be useful, however, people will need easy and efficient access to its resources. Today's computers are complex and difficult to use, even for experts. The NII will be orders of magnitude more complex than current systems; it could easily become a labyrinth of databases and services that is inconvenient for experts and inaccessible to many Americans. The field of artificial intelligence (AI) can play a pivotal role in meeting major challenges of the NII. AI uses the theoretical and experimental tools of ...

But it was one giant leap for computer-kind, with a state of the art artificial intelligence system being given primary command of a spacecraft. Known as Remote Agent, the software operated NASA's Deep Space 1 spacecraft and its futuristic ion engine during two experiments that started on Monday, May 17, 1999. For two days Remote Agent ran on the on-board computer of Deep Space 1, more than 60,000,000 miles (96,500,000 kilometers) from Earth. The tests were a step toward robotic explorers of the 21st century that are less costly, more capable and more independent from ground control. A second remote agent experiment was conducted on Friday, May 21, starting at 7:15 a.m.

This course is a graduate level introduction to automatic discourse processing. The emphasis will be on methods and models that have applicability to natural language and speech processing. The class will cover the following topics: discourse structure, models of coherence and cohesion, plan recognition algorithms, and text segmentation. We will study symbolic as well as machine learning methods for discourse analysis. We will also discuss the use of these methods in a variety of applications ranging from dialogue systems to automatic essay writing.

Topics covered include: representation and inference in first-order logic, modern deterministic and decision-theoretic planning techniques, basic supervised learning methods, and Bayesian network inference and learning. This course was also taught as part of the Singapore-MIT Alliance (SMA) programme as course number SMA 5504 (Techniques in Artificial Intelligence).

Imagine that you could tell your phone that you want to drive from your house in Boston to a hotel in upstate New York, that you want to stop for lunch at an Applebee's at about 12:30, and that you don't want the trip to take more than four hours. Then imagine that your phone tells you that you have only a 66 percent chance of meeting those criteria -- but that if you can wait until 1:00 for lunch, or if you're willing to eat at TGI Friday's instead, it can get that probability up to 99 percent. That kind of application is the goal of Brian Williams' group at MIT's Computer Science and Artificial Intelligence Laboratory -- although the same underlying framework has led to software that both NASA and the Woods Hole Oceanographic Institution have used to plan missions. At the annual meeting of the Association for the Advancement of Artificial Intelligence (AAAI) this month, researchers in Williams' group will present algorithms that represent significant steps toward what Williams describes as "a better Siri" -- the user-assistance application found in Apple products. But they would be just as useful for any planning task -- say, scheduling flights or bus routes.

For the last decade, scientists have deployed increasingly capable underwater robots to map and monitor pockets of the ocean to track the health of fisheries, and survey marine habitats and species. In general, such robots are effective at carrying out low-level tasks, specifically assigned to them by human engineers -- a tedious and time-consuming process for the engineers. When deploying autonomous underwater vehicles (AUVs), much of an engineer's time is spent writing scripts, or low-level commands, in order to direct a robot to carry out a mission plan. Now a new programming approach developed by MIT engineers gives robots more "cognitive" capabilities, enabling humans to specify high-level goals, while a robot performs high-level decision-making to figure out how to achieve these goals. For example, an engineer may give a robot a list of goal locations to explore, along with any time constraints, as well as physical directions, such as staying a certain distance above the seafloor.

This page includes forthcoming AAAI sponsored conferences, conferences presented by AAAI Affiliates, and conferences held in cooperation with AAAI. AI Magazine also maintains a calendar listing that includes nonaffiliated conferences at www.aaai.org/Magazine/calendar.php. ICAIL 2017 will be held 12-16 June, Twenty-Ninth Innovative Applications Thirtieth International Florida AI 2017 in London, UK of Artificial Intelligence Conference. IAAI-17 will be held February FLAIRS-2017 will be held May 22-24, 4-9 in San Francisco, California USA. IEA/AIE-2017 will be AAAI 2017 Spring Symposium Series on Automated Planning and Scheduling.

As NASA explores destinations beyond the Moon, the distance between Earth and spacecraft will increase communication delays between astronauts and Mission Control. Today, astronauts coordinate with Mission Control to request assistance and await approval to perform tasks. Many of these coordination tasks require multiple exchanges of information, (for example, taking turns). In the presence of long communication delays, the length of time between turns may lead to inefficiency, or increased mission risk. Future astronauts will need software-based decision aids to enable them to work autonomously from Mission Control. These tools require the right combination of mission operations functions, for example, automated planning and fault management, troubleshooting recommendations, easy to access information, and just-in-time training. Ensuring these elements are properly designed and integrated requires an integrated human factors approach. This article describes a recent demonstration of autonomous mission operations using a novel software-based decision aid onboard the International Space Station. We describe how this new technology changes the way astronauts coordinate with mission control, and how the lessons learned from these early demonstrations will enable the operational autonomy needed to ensure astronauts can safely journey to Mars, and beyond.

ABC president Channing Dungey recently opened up about the changes in the schedule for "Grey's Anatomy," "Scandal" and "How to Get Away With Murder." Last week, it was announced that instead of Jan. 19, all three shows will air on ABC on Jan. 26 to give way to Donald Trump's pre-inauguration special. While speaking with TV Line, Dungey admitted that it was a very tough call for the network to have Shonda Rhimes' three shows bumped to the coming week. "It was a very hard call. Nobody else had been waiting for it bigger than me," she said.