Nearly a quarter of U.K. heritage organizations are using artificial intelligence (AI) tools, according to a recent survey commissioned by The National Lottery Heritage Fund (NLHF).Nearly a quarter of U.K. heritage organizations are using artificial intelligence (AI) tools, according to a recent survey commissioned by The National Lottery Heritage Fund (NLHF).Business[#item_full_content]

We are told that artificial intelligence and the automated decisions it enables will offer us improved public governance. Artificial intelligence will flexibly provide consistent and quick decisions, and considerable savings can be achieved thanks to automation.We are told that artificial intelligence and the automated decisions it enables will offer us improved public governance. Artificial intelligence will flexibly provide consistent and quick decisions, and considerable savings can be achieved thanks to automation.Consumer & Gadgets[#item_full_content]

Compared with traditional artificial neural networks, spiking neural networks (SNN) are more biologically authentic, more powerful, and less power-consuming due to their spatiotemporal coding and event-driven characteristics. In recent years, optical computing has been widely considered as a hardware acceleration platform, where nonlinear computing poses a challenge. Photonic SNN provides an ultra-fast and energy-efficient platform for high-performance neuromorphic computing.Compared with traditional artificial neural networks, spiking neural networks (SNN) are more biologically authentic, more powerful, and less power-consuming due to their spatiotemporal coding and event-driven characteristics. In recent years, optical computing has been widely considered as a hardware acceleration platform, where nonlinear computing poses a challenge. Photonic SNN provides an ultra-fast and energy-efficient platform for high-performance neuromorphic computing.Electronics & Semiconductors[#item_full_content]

With the emergence of huge amounts of heterogeneous multi-modal data—including images, videos, texts/languages, audios, and multi-sensor data—deep learning-based methods have shown promising performance for various computer vision and machine learning tasks, such as visual comprehension, video understanding, visual-linguistic analysis, and multi-modal fusion.With the emergence of huge amounts of heterogeneous multi-modal data—including images, videos, texts/languages, audios, and multi-sensor data—deep learning-based methods have shown promising performance for various computer vision and machine learning tasks, such as visual comprehension, video understanding, visual-linguistic analysis, and multi-modal fusion.[#item_full_content]

With the emergence of huge amounts of heterogeneous multi-modal data—including images, videos, texts/languages, audios, and multi-sensor data—deep learning-based methods have shown promising performance for various computer vision and machine learning tasks, such as visual comprehension, video understanding, visual-linguistic analysis, and multi-modal fusion.With the emergence of huge amounts of heterogeneous multi-modal data—including images, videos, texts/languages, audios, and multi-sensor data—deep learning-based methods have shown promising performance for various computer vision and machine learning tasks, such as visual comprehension, video understanding, visual-linguistic analysis, and multi-modal fusion.Computer Sciences[#item_full_content]

Tandem solar cells based on perovskite semiconductors convert sunlight to electricity more efficiently than conventional silicon solar cells. In order to make this technology ready for the market, further improvements with regard to stability and manufacturing processes are required.Tandem solar cells based on perovskite semiconductors convert sunlight to electricity more efficiently than conventional silicon solar cells. In order to make this technology ready for the market, further improvements with regard to stability and manufacturing processes are required.Energy & Green Tech[#item_full_content]

ETH Zurich researchers deployed an autonomous excavator, called HEAP, to build a 6-meter-high and 65-meter-long dry-stone wall. The wall is embedded in a digitally planned and autonomously excavated landscape and park.ETH Zurich researchers deployed an autonomous excavator, called HEAP, to build a 6-meter-high and 65-meter-long dry-stone wall. The wall is embedded in a digitally planned and autonomously excavated landscape and park.[#item_full_content]

Imagine yourself on a beautiful beach. You’re likely visualizing sand and sea but also hearing a symphony of wind gusting, waves crashing and gulls cawing. In this scene—as well as in urban settings with neighbors talking, dogs barking and traffic whooshing—sounds are critical components of the overall feel of a place.Imagine yourself on a beautiful beach. You’re likely visualizing sand and sea but also hearing a symphony of wind gusting, waves crashing and gulls cawing. In this scene—as well as in urban settings with neighbors talking, dogs barking and traffic whooshing—sounds are critical components of the overall feel of a place.[#item_full_content]

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