The field of bioinformatics has seen significant advancements in recent years, particularly in the application of artificial intelligence (AI) for the analysis and interpretation of large-scale data ...
High-Quality Dataset-Sharing and Trade Based on a Performance-Oriented Directed Graph Neural Network
Abstract: The advancement of Artificial Intelligence (AI) models heavily relies on large high-quality datasets. However, in advanced manufacturing, collecting such data is time-consuming and ...
What if you could transform an AI like Claude into a tireless collaborator that never forgets, no matter how complex or long-term your projects are? Memory limitations are one of the most frustrating ...
Neil Humphrey receives funding from various bodies including The National Lottery Community Fund to conduct research on young people's wellbeing Qiqi Cheng does not work for, consult, own shares in or ...
ComEd today announced the first set of new Transmission Security Agreements (TSAs) designed to protect customers and ensure fairness in the cost of connecting and providing transmission service to new ...
Going into the third play of the game, Vanderbilt had Iowa pinned back on its own 31-yard line with a third down and seven. The Commodores got pressure on Iowa quarterback Mark Gronowski as Vanderbilt ...
As artificial intelligence has continued to rapidly evolve in recent years, many government agencies have started to address and deploy the tech, both at the policy level and by testing use cases with ...
The issue has been a major battleground in discovery. OpenAI could be on the hook for hundreds of millions, if not billions, of dollars if it was aware it was infringing on copyrighted material. By ...
A video of a large line outside a food bank in Cleveland has gone viral amid the ongoing freezing of the federal Supplemental Nutrition Assistance Program (SNAP) during the government shutdown. Fox ...
We introduce a novel dataset of large depreciations worldwide since 1971. First, we use a multi-step approach to accurately pinpoint large depreciation events on monthly data. We then construct large ...
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