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.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]
Sam Altman’s shock return as chief executive of OpenAI late Tuesday—days after being sacked—caps a chaotic period that highlighted deep tensions at the heart of the Artificial Intelligence community.Sam Altman’s shock return as chief executive of OpenAI late Tuesday—days after being sacked—caps a chaotic period that highlighted deep tensions at the heart of the Artificial Intelligence community.Business[#item_full_content]
The unofficial motto of Silicon Valley has long been “move fast and break things”. It relies on the assumption that in order to create cutting edge technology and to be ahead of the competition, companies need to accept that things will get damaged in the process.The unofficial motto of Silicon Valley has long been “move fast and break things”. It relies on the assumption that in order to create cutting edge technology and to be ahead of the competition, companies need to accept that things will get damaged in the process.Business[#item_full_content]
The turmoil at ChatGPT-maker OpenAI, sparked by the board of directors firing high-profile CEO Sam Altman on Nov. 17, 2023, has put a spotlight on artificial intelligence safety and concerns about the rapid development of artificial general intelligence, or AGI. AGI is loosely defined as human-level intelligence across a range of tasks.The turmoil at ChatGPT-maker OpenAI, sparked by the board of directors firing high-profile CEO Sam Altman on Nov. 17, 2023, has put a spotlight on artificial intelligence safety and concerns about the rapid development of artificial general intelligence, or AGI. AGI is loosely defined as human-level intelligence across a range of tasks.Consumer & Gadgets[#item_full_content]
It isn’t easy for a robot to find its way out of a maze. Picture these machines trying to traverse a kid’s playroom to reach the kitchen, with miscellaneous toys scattered across the floor and furniture blocking some potential paths. This messy labyrinth requires the robot to calculate the most optimal journey to its destination, without crashing into any obstacles. What is the bot to do?It isn’t easy for a robot to find its way out of a maze. Picture these machines trying to traverse a kid’s playroom to reach the kitchen, with miscellaneous toys scattered across the floor and furniture blocking some potential paths. This messy labyrinth requires the robot to calculate the most optimal journey to its destination, without crashing into any obstacles. What is the bot to do?Robotics[#item_full_content]
Machine learning (ML) is generally defined as data-driven technology mimicking intelligent human abilities, which bit by bit upgrades its accuracy from experience. It starts with gathering massive amounts of data, such as numbers, texts, images and so on. After training with the data, ML algorithms build a logical model to identify patterns through the least possible human intervention. With the help of sample training data, programmers test the model’s validity before introducing a new dataset. The more training data, the better the prediction.Machine learning (ML) is generally defined as data-driven technology mimicking intelligent human abilities, which bit by bit upgrades its accuracy from experience. It starts with gathering massive amounts of data, such as numbers, texts, images and so on. After training with the data, ML algorithms build a logical model to identify patterns through the least possible human intervention. With the help of sample training data, programmers test the model’s validity before introducing a new dataset. The more training data, the better the prediction.Electronics & Semiconductors[#item_full_content]