An explosion at a police station in Indian-administered Kashmir has killed at least nine people and injured 32 others, mainly police personnel. Officials said the blast was an accident. It happened as officers were inspecting confiscated explosives. Football's Pep Guardiola calls on fans to attend Palestine charity match Ukraine's Kyiv pounded by hundreds of Russian drones Italian prosecutors investigate Bosnian war'sniper safaris'

Facial Recognition is a technique, based on machine learning technology that can recognize a human being analyzing his facial profile, and is applied in solving various types of realworld problems nowadays. In this paper, a common real-world problem, finding a missing person has been solved in a secure and effective way with the help of facial recognition technology. Although there exist a few works on solving the problem, the proposed work is unique with respect to its security, design, and feasibility. Impeding intruders in participating in the processes and giving importance to both finders and family members of a missing person are two of the major features of this work. The proofs of the works of our system in finding a missing person have been described in the result section of the paper. The advantages that our system provides over the other existing systems can be realized from the comparisons, described in the result summary section of the paper. The work is capable of providing a worthy solution to find a missing person on the digital platform.

We propose the Detailed Outline Control (DOC) framework for improving long-range plot coherence when automatically generating several-thousand-word-long stories. DOC consists of two complementary components: a detailed outliner and a detailed controller. The detailed outliner creates a more detailed, hierarchically structured outline, shifting creative burden from the main drafting procedure to the planning stage. The detailed controller ensures the more detailed outline is still respected during generation by controlling story passages to align with outline details. In human evaluations of automatically generated stories, DOC substantially outperforms a strong Re3 baseline (Yang et al., 2022) on plot coherence (22.5% absolute gain), outline relevance (28.2%), and interestingness (20.7%). Humans also judged DOC to be much more controllable in an interactive generation setting.

Ottapalam: Kerala Police is gearing up to face the manifold challenges on the law and order front. Amid move to widely install cameras with Artificial Intelligence in public places, first police vehicle in Palakkad district with surveillance cameras has been readied here. Four surveillance cameras have been fitted on to the official vehicle of the circle inspector at the Ottapalam police station. The cameras mounted on the top of the vehicle are aimed at capturing images that could help in maintaining law and order, and stop traffic law violations. For instance, as the police rush to any strife-torn region, these cameras would capture the images which would aid in the investigation later on.

South Wales police are to have a facial recognition app installed on their phones to identify suspects without having to take them to a police station. The force intends to test the app over the next three months with 50 officers using the technology to confirm the names of people of interest who are stopped on routine patrols. The app will allow officers to run a snapshot of a person through a database of suspects called a watchlist, and find potential matches even if the individual gives false or misleading information. The move is the latest sign that police forces in Britain are eager to embrace the controversial technology which has been criticised for infringing privacy and increasing state powers of surveillance. Liberty, the campaign group, called the announcement "chilling", adding that it was "shameful" that South Wales police had chosen to press ahead with handheld facial recognition systems even as it faced a court challenge over the technology.

SciTech Europa delves into the world of AI, defining what it means, giving examples of the real-life applications, and discussing the ethical questions it prompts. The computer scientist John McCarthy coined the term Artificial Intelligence in 1956, and defines the field of artificial intelligence as "the science and engineering of making intelligent machines." As well as the term for the scientific discipline, artificial intelligence refers to the intelligence of a machine, program, or system, in contrast to that of human intelligence. Alessandro Annoni, the head of the European Commission's Joint Research Centre, spoke at the Science Meets Parliaments conference at the European Parliament, Brussels in February 2019. He said: "Artificial intelligence should not be considered a simple technology…it is a collection of technologies. It is a new paradigm that is aiming to give more power to the machine. It's a technology that will replace humans in some cases."

Of all the trends that have made headlines over the last few years, none has had a greater impact than the rise of Big Data. Businesses, news agencies, police stations, nonprofits, nearly every organization you can think of are gathering and using data to change how they operate from day to day. Ideally, they're using all this data to make better decisions, taking into account a larger and broader pool of information so as to avoid common sources of mistakes and biases. But as valuable as Big Data is, simply having it is no guarantee that your organization will make better decisions. Data can help you understand what's happening at your company and what it means for the future, but only if you have the tools to interpret it.

On November 7, China announced plans to open an unmanned police station powered by artificial intelligence (AI) in Wuhan, one of its capital cities. The AI police station will likely focus on vehicle- and driver-related issues, which makes it more analogous to an American Department of Motor Vehicles (DMV) than a precinct (sorry, Robocop), but the decision to build it is still right inline with China's plans to be a world leader in AI by 2030. According to a report from the Chinese financial paper Caijing Neican, the futuristic station will offer simulated driver examinations and provide registration services. Cutting-edge facial-recognition technology developed by Tencent will identify citizens within the station. The idea is that this will eliminate the need for users to sit at stations for long periods of time, sign up for accounts, or download apps -- the AI will access all pertinent information as soon as it sees the person's face.

Provided by The Next Web China this week announced an AI-powered unmanned police station will open in one of its capitol cities, proving once again that no other country quite embraces artificial intelligence like it does. The station appears to be designed with driver and vehicle related matters in mind, making it more like a Department of Motor Vehicles (DMV) than a cop shop. It will provide driver's examinations via simulator, registration services, and feature advanced face-scanning technology developed by Tencent, according to a report from Chinese financial paper Caijing Neican. Setting aside the myriad of law enforcement related implications, there's still plenty to unpack concerning the idea of unmanned government buildings. This station will be open to the public 24/7, and since citizens will presumably be dealing with dedicated hardware there should be far less points of failure than web-based solutions tend to have.

China this week announced an AI-powered unmanned police station will open in one of its capitol cities, proving once again that no other country quite embraces artificial intelligence like it does. The station appears to be designed with driver and vehicle related matters in mind, making it more like a Department of Motor Vehicles (DMV) than a cop shop. It will provide driver's examinations via simulator, registration services, and feature advanced face-scanning technology developed by Tencent, according to a report from Chinese financial paper Caijing Neican. Setting aside the myriad of law enforcement related implications, there's still plenty to unpack concerning the idea of unmanned government buildings. This station will be open to the public 24/7, and since citizens will presumably be dealing with dedicated hardware there should be far less points of failure than web-based solutions tend to have.