South America
Faster Neighborhood Attention: Reducing the O (n 2) Cost of Self Attention at the Threadblock Level
Neighborhood attention reduces the cost of self attention by restricting each token's attention span to its nearest neighbors. This restriction, parameterized by a window size and dilation factor, draws a spectrum of possible attention patterns between linear projection and self attention. Neighborhood attention, and more generally sliding window attention patterns, have long been bounded by infrastructure, particularly in higher-rank spaces (2-D and 3-D), calling for the development of custom kernels, which have been limited in either functionality, or performance, if not both.
CableInspect-AD: An Expert-Annotated Anomaly Detection Dataset
Machine learning models are increasingly being deployed in real-world contexts. However, systematic studies on their transferability to specific and critical applications are underrepresented in the research literature. An important example is visual anomaly detection (V AD) for robotic power line inspection.
Major Russian strikes cut power across Kyiv
Overnight Russian missile and drone strikes have caused power cuts in large parts of Ukraine's capital, Kyiv. Nine people were injured while residents in eastern districts were plunged into darkness and faced disruption to water supplies, the city's mayor Vitali Klitschko said. Meanwhile, a seven-year-old child was killed in a separate Russian drone strike in the Zaporizhzhia area in the country's south-east, according to the Ukrainian regional head. Moscow has escalated attacks on energy facilities over recent weeks, while Ukrainian President Volodymyr Zelensky has accused Russia of attempting to create chaos and apply psychological pressure. Ukraine's Energy Minister Svitlana Hrynchuk said Russia was inflicting a massive strike on facilities around the country overnight on Thursday, adding that repair crews were working to restore power.