Multi-focus image fusion (MFIF) is an image enhancement technology that helps to solve the depth-of-field problem and capture all-in-focus images. It has broad application prospects that can effectively extend the depth of field of optical lenses.Multi-focus image fusion (MFIF) is an image enhancement technology that helps to solve the depth-of-field problem and capture all-in-focus images. It has broad application prospects that can effectively extend the depth of field of optical lenses.[#item_full_content]
Multi-focus image fusion (MFIF) is an image enhancement technology that helps to solve the depth-of-field problem and capture all-in-focus images. It has broad application prospects that can effectively extend the depth of field of optical lenses.Multi-focus image fusion (MFIF) is an image enhancement technology that helps to solve the depth-of-field problem and capture all-in-focus images. It has broad application prospects that can effectively extend the depth of field of optical lenses.Computer Sciences[#item_full_content]
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]
Nearly as quickly as he left, Sam Altman is back.Nearly as quickly as he left, Sam Altman is back.Business[#item_full_content]
It’s been quite a week for ChatGPT-maker OpenAI—and co-founder Sam Altman.It’s been quite a week for ChatGPT-maker OpenAI—and co-founder Sam Altman.Business[#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]
