Sotheby's will auctio the first-ever artwork created by a humanoid robot. Thieves in the Netherlands used explosives to blow open the doors of an art gallery on Friday, making off with two rare screen prints by American pop artist Andy Warhol. According to MPV Gallery owner Mark Peet Visser, the suspects also abandoned two more works which were badly damaged in the street as they fled. Visser shared with the Associated Press that the suspects attempted to steal all four works from Warhol's 1985 "Reigning Queens" series. The Warhol portraits include renderings of Queen Elizabeth II of the United Kingdom, Queen Margrethe II of Denmark, Queen Beatrix of the Netherlands, and Queen Ntombi Tfwala of Swaziland (now Eswatini).

Unmanned aerial vehicles (UAVs) are becoming an integral part of both industry and society. In particular, the quadrotor is now invaluable across a plethora of fields and recent developments, such as the inclusion of aerial manipulators, only extends their versatility. As UAVs become more widespread, preventing loss-of-control (LOC) is an ever growing concern. Unfortunately, LOC is not clearly defined for quadrotors, or indeed, many other autonomous systems. Moreover, any existing definitions are often incomplete and restrictive. A novel metric, based on actuator capabilities, is introduced to detect LOC in quadrotors. The potential of this metric for LOC detection is demonstrated through both simulated and real quadrotor flight data. It is able to detect LOC induced by actuator faults without explicit knowledge of the occurrence and nature of the failure. The proposed metric is also sensitive enough to detect LOC in more nuanced cases, where the quadrotor remains undamaged but nevertheless losses control through an aggressive yawing manoeuvre. As the metric depends only on system and actuator models, it is sufficiently general to be applied to other systems.

The robot uses its chest, hips and arms to handle objects -- just like we do. Theo works weekdays, weekends and nights and never complains about a sore spine despite performing hour upon hour of what, for a regular farm hand, would be backbreaking labor checking Dutch tulip fields for sick flowers. The boxy robot -- named after a retired employee at the WAM Pennings farm near the Dutch North Sea coast -- is a new high-tech weapon in the battle to root out disease from the bulb fields as they erupt into a riot of springtime color. On a windy spring morning, the robot trundled Tuesday along rows of yellow and red "goudstuk" tulips, checking each plant and, when necessary, killing diseased bulbs to prevent the spread of the tulip-breaking virus. The dead bulbs are removed from healthy ones in a sorting warehouse after they have been harvested.

There is a lot of excitement in healthcare about the use of artificial intelligence (AI) to improve clinical decision-making. Pioneered by the likes of IBM Watson for Healthcare and DeepMinds Healthcare, AI promises to help specialists diagnose patients more accurately. Two years ago, McKinsey co-produced a report with the European Union's EIT Health to explore the potential for AI in healthcare. Among the key opportunities the report's authors found were in healthcare operations: diagnostics, clinical decision support, triage and diagnosis, care delivery, chronic care management and self-care. "First, solutions are likely to address the low-hanging fruit of routine, repetitive and largely administrative tasks, which absorb significant time of doctors and nurses, optimising healthcare operations and increasing adoption," they wrote.

There is a lot of excitement in healthcare about the use of artificial intelligence (AI) to improve clinical decision-making. Pioneered by the likes of IBM Watson for Healthcare and DeepMinds Healthcare, AI promises to help specialists diagnose patients more accurately. Two years ago, McKinsey co-produced a report with the European Union's EIT Health to explore the potential for AI in healthcare. Among the key opportunities the report's authors found were in healthcare operations: diagnostics, clinical decision support, triage and diagnosis, care delivery, chronic care management and self-care. "First, solutions are likely to address the low-hanging fruit of routine, repetitive and largely administrative tasks, which absorb significant time of doctors and nurses, optimising healthcare operations and increasing adoption," they wrote.

This article discusses a workshop held in conjunction with the Eighteenth International Joint Conference on Artificial Intelligence (IJCAI-03), held in Acapulco, Mexico, on 11 August 2003. However, much of the work does not take into account real-time constraints typically associated with many agent applications in addition to the incomplete and dynamic nature of the embedding environments. For example, in environments where a number of agents build teams, and both singleagent and collaborative decisions have to be made, such decisions have to be generated rapidly and in the appropriate time windows to be useful. Such topics include world modeling, planning, learning, agent communication, and software architectures. Within this general theme, the aim was to bring together researchers from different communities working with both robots and softbots (for example, RoboCup, cognitive robotics, intelligent autonomous vehicles).

Clifford Chance (CC) has become the latest firm to sign a deal with an artificial intelligence (AI) provider, with the magic circle firm partnering with Kira Systems. The deal means CC's lawyers will be able to use the AI software for tasks such as document review in M&A due diligence. The firm said it has already used AI technology in several other applications but declined to provide details. The Kira deal, which is aimed at reducing costs for clients, was led by the firm's head of innovation and business change, Bas Boris Visser. He said CC's clients are "under substantial pressure to reduce legal spend", adding: "At the same time, they need more support to manage the increasing risks and complex issues that their companies are facing."

Clifford Chance (CC) has become the latest firm to sign a deal with an artificial intelligence (AI) provider, with the magic circle firm partnering with Kira Systems. The deal means CC's lawyers will be able to use the AI software for tasks such as document review in M&A due diligence. The firm said it has already used AI technology in several other applications but declined to provide details. The Kira deal, which is aimed at reducing costs for clients, was led by the firm's head of innovation and business change Bas Boris Visser. He said CC's clients are "under substantial pressure to reduce legal spend", adding: "At the same time, they need more support to manage the increasing risks and complex issues that their companies are facing."

Clifford Chance has become the latest UK law firm to adopt the use of artificial intelligence (AI) after partnering with software provider Kira Systems. The magic circle firm has teamed up with Kira Systems to improve the "speed, efficiency and quality" of its processes. In practice Kira works by searching and analysing text within contracts. The firm believes its use will reduce the time spent carrying out due diligence work and increase the number of documents that can be reviewed. It was chosen by Clifford Chance because the software can be easily modified by the firm's lawyers and is able to adapt to specific client requests.

Navigation and localization are still one of the most fundamental tasks to be accomplished by mobile autonomous robots. One of the main purposes of the navigation and localization process is to build a precise, usually allocentric spatial static representation (e.g. [S. Thrun and Schulz, 2000] ). Although robots are able to carry more and more powerful sensors, the question is, which informations are needed for localization and navigation. One way to do these tasks with only a minimal amount of resources is via landmarks. Furthermore it is an easy and failsafe way to do so. Localization can be done with only a single 180 degree camera, and a navigation by the change of the landmark ordering is very robust against misinterpretations and errors. This technique uses the fact that, seen from the agent, landmarks are switching locations only in a certain way( [Wagner, Visser, and Herzog, 2004] ). With an additional timer the robustness of this technique can be further increased. But with timing and the use of angles between the landmarks, it is also possible to measure the distances between the landmarks and the agent. Furthermore this technique can be extended to detect moving objects and to compute the speed and direction of them.