Lance Fortnow on the current status and future outlook of solving the P-NP problem.
Abstract: Machine learning has been successfully applied to drug combination prediction in recent years. However, in some situations, the class imbalance problem still shows highly negative impacts on ...
Alberta opens applications for teacher advisory council, promises class size data before budget 2026
Alberta is now accepting applications for its teacher advisory council and says it plans to release its promised class size and complexity data in the coming weeks. Education Minister Demetrios ...
The Alberta government is introducing the class size and complexity task force. Premier Danielle Smith shares a bit about what this will look like. 'Our home on native land': Canadian singer changes ...
Abstract: Class imbalance introduces bias into model learning and remains a persistent and fundamental challenge in machine learning. When class imbalance is coupled with complex data distribution ...
Two former Google DeepMind researchers who worked on the company’s Nobel Prize-winning AlphaFold protein structure prediction AI as well as its AlphaEvolve code generation system have launched a new ...
The original version of this story appeared in Quanta Magazine. One July afternoon in 2024, Ryan Williams set out to prove himself wrong. Two months had passed since he’d hit upon a startling ...
One July afternoon in 2024, Ryan Williams set out to prove himself wrong. Two months had passed since he’d hit upon a startling discovery about the relationship between time and memory in computing.
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