The April 16 attack was claimed by Tehreek-e-Taliban Pakistan (TTP), commonly known as the Pakistan Taliban, and its fighters then opened fire from all sides of the Sarki Piyala police checkpost in Hangu district, about 30km (18 miles) from the border with Afghanistan and a hotbed of deadly attacks by armed groups, mainly the TTP. "There was a great deal of fear because we were in the middle of a battle. At that moment, we did not even know whether we would make it back home alive," Khan told Al Jazeera. To defend against such attacks, the police in Hangu came up with an unlikely, low-cost solution - fishing nets strung several metres overhead between the checkpost's rooftops and perimeter walls, forming a kind of aerial ceiling. Simple in construction and resembling what fishermen use for their work, the netting was first installed two months ago, according to the local police.

The real image, which the police station has since shared, shows the officers in normal clothes and no female officer in the picture at all. The real image, which the police station has since shared, shows the officers in normal clothes and no female officer in the picture at all. Picture was created by administrator in charge of station's Facebook account who wanted to create'friendlier image' It was an arresting image and an irresistible story. A group of tough Thai police officers - five men and one woman - all wearing elaborate festival-style dresses, surrounding a drug dealer they had caught while undercover. The image, released by local police, was so compelling that it found its way on to the front page of the UK's Daily Star, as well as in picture stories in the Telegraph, the Sun and the New York Post. The Sun wrote: "The burly crew of five men and one woman slipped into skin tight sequins and feathers for the covert mission in Thailand ."

More and more Chinese adoptees in the US are trying to reunite with their birth parents. For Youxue, it took more than a decade, and a remarkable coincidence. A girl is found on a street in Ma'Anshan, China, in May 1993. Her paternal grandfather, the story goes, set her down and walked away. It's unclear how long she's been outside when somebody arrives and takes her to the orphanage. A white woman adopts the girl and brings her to America in August 1994. She gives her an English name. In spring 2010, when Youxue (her Chinese name) was a high school sophomore in Dallas, Texas, she decided to start searching for her birth parents.

Tokyo Metropolitan Police stations receive around 4.4 million lost items annually. With the vision of creating a world where every lost item is found, Find Inc. runs Find (stylized as) a cloud-based lost-and-found service powered by proprietary AI technology. First introduced by Keio Corporation in 2023, the service is now used by 33 companies nationwide. We spoke with Ryu Wada, Director and COO of Find Inc., about how technology is transforming the future of lost items. Find Inc. is a Tokyo-based startup that provides a cloud service dedicated to lost items. The company was founded in December 2021 by Representative Director Akira Takashima and COO Wada.

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."