Months of relentless Russian artillery pounding have devastated a strategic city in eastern Ukraine, new drone footage obtained by The Associated Press shows, with barely a building left intact, homes and municipal offices charred and a town that once had a population of 12,000 now all but deserted. The footage shows Chasiv Yar -- set amid green fields and woodland -- pounded into an apocalyptic vista. The destruction is reminiscent of the cities of Bakhmut and Avdiivka, which Ukraine yielded after months of bombardment and huge losses for both sides. The strategically important city has been under attack by Russian forces for months. Capturing it would give Russia control of a hilltop from which it can attack other cities that form the backbone of Ukraine's eastern defenses.

It turns out the lay of today's AI landscape can be traced back to -- what do you know -- fear, jealousy and intense capitalist ambition. Emails revealed in the Department of Justice's antitrust case against Google, first reported by Business Insider, show Microsoft executives expressing alarm and envy over Google's AI lead. That spurred an urgency that led to the Windows maker's initial billion-dollar investment in its now-indispensable partner, OpenAI. In a heavily redacted 2019 email thread titled "Thoughts on OpenAI," Microsoft CEO Satya Nadella forwards a lengthy message from CTO Kevin Scott to CFO Amy Hood. "Very good email that explains, why I want us to do this ... and also why we will then ensure our infra folks execute," Nadella wrote.

Ukraine has introduced an AI spokesperson to provide information about its ongoing war efforts against Russia's invasion of the country. The AI spokesperson, named Victoria Shi – after'victory' and the Ukrainian abbreviation of'AI' – is based on the likeness of Ukrainian singer and influencer Rosalie Nombre who agreed to participate pro bono. The avatar is dressed in all black with aa Ukranian flag pin, hair pulled back and she's wearing studded earrings - but officials stressed the digital person and Nombre'are two different people.' In a video released by the Ministry of Foreign Affairs (MFA), Shi introduced herself and described her role and job functions, saying she was built to protect'the rights and interests of Ukrainian citizens abroad.' Victoria Shi, an AI spokesperson for Ukraine's Ministry of Foreign Affairs (pictured) will provide information about the governments ongoing war efforts against Russia's invasion The decision to add an AI MFA spokesperson was'not a whim,' but is a requirement of wartime efforts, the Minister of Foreign Affairs of Ukraine, Dmytro Kuleba, said in a Google-translated statement.

At a diner just off the freeway north of Sacramento, a mostly white crowd listened intently as it learned how to "save America" by leaning on the same laws that enshrined the rights of Black voters 60 years ago. Over mugs of coffee and plates of pot roast smothered in gravy, attendees in MAGA and tea party gear took notes about the landmark Voting Rights Act and studied the U.S. Constitution. They peppered self-proclaimed "election integrity" activist Marly Hornik with questions about how to become skilled citizen observers monitoring California poll workers. The nearly 90 people gathered in the diner in February were there to understand how they can do their part in a plan to sue California to block certification of the 2024 election results unless the state can prove that ballots were cast only by people eligible to vote. If any votes are found to be ineligible, Hornik explained, then all voters are being disenfranchised -- just like those decades ago who couldn't vote because of their race.

Six months later, the president issued a sweeping executive order that set a regulatory course for AI. This all happened because ChatGPT had stunned the world. In an instant it became very, very obvious that the United States needed to speed up its efforts to regulate the AI industry--and adopt policies to take advantage of it. While the potential benefits were unlimited (Social Security customer service that works!), so were the potential downsides, like floods of disinformation or even, in the view of some, human extinction. Someone had to demonstrate that to the president.

Diario Brasil Nippou, the last remaining Japanese-language newspaper in Brazil, is struggling to keep its presses rolling. The South American country is home to the largest Japanese community outside the East Asian nation, with some 2.7 million Nikkei Japanese immigrants and their descendants. Behind the difficulties facing the paper is a decline in the number of subscribers, partly reflecting the aging of immigrants from Japan.

Fox News Flash top headlines are here. Check out what's clicking on Foxnews.com. A Portuguese-flagged container ship came under attack by a drone in the far reaches of the Arabian Sea, corresponding with a claim by Yemen's Houthi rebels that they assaulted the ship there, authorities said Tuesday. The attack on the MSC Orion, occurring some 375 miles off the coast of Yemen, appeared to be the first confirmed deep-sea assault claimed by the Houthis since they began targeting ships in November. It suggests the Houthis -- or potentially their main benefactor Iran -- may have the ability to strike into the distances of the Indian Ocean as the rebels previously threatened in their ongoing campaign over Israel's war on Hamas in the Gaza Strip.

Palm oil production has been identified as one of the major drivers of deforestation for tropical countries. To meet supply chain objectives, commodity producers and other stakeholders need timely information of land cover dynamics in their supply shed. However, such data are difficult to obtain from suppliers who may lack digital geographic representations of their supply sheds and production locations. Here we present a "community model," a machine learning model trained on pooled data sourced from many different stakeholders, to develop a specific land cover probability map, in this case a semi-global oil palm map. An advantage of this method is the inclusion of varied inputs, the ability to easily update the model as new training data becomes available and run the model on any year that input imagery is available. Inclusion of diverse data sources into one probability map can help establish a shared understanding across stakeholders on the presence and absence of a land cover or commodity (in this case oil palm). The model predictors are annual composites built from publicly available satellite imagery provided by Sentinel-1, Sentinel-2, and ALOS DSM. We provide map outputs as the probability of palm in a given pixel, to reflect the uncertainty of the underlying state (palm or not palm). The initial version of this model provides global accuracy estimated to be approximately 90% (at 0.5 probability threshold) from spatially partitioned test data. This model, and resulting oil palm probability map products are useful for accurately identifying the geographic footprint of palm cultivation. Used in conjunction with timely deforestation information, this palm model is useful for understanding the risk of continued oil palm plantation expansion in sensitive forest areas.

The behavior and decision making of groups or communities can be dramatically influenced by individuals pushing particular agendas, e.g., to promote or disparage a person or an activity, to call for action, etc.. In the examination of online influence campaigns, particularly those related to important political and social events, scholars often concentrate on identifying the sources responsible for setting and controlling the agenda (e.g., public media). In this article we present a methodology for detecting specific instances of agenda control through social media where annotated data is limited or non-existent. By using a modest corpus of Twitter messages centered on the 2022 French Presidential Elections, we carry out a comprehensive evaluation of various approaches and techniques that can be applied to this problem. Our findings demonstrate that by treating the task as a textual entailment problem, it is possible to overcome the requirement for a large annotated training dataset.