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A Microsoft analog optical computer has solved two optimization problems and shown potential for AI workloads using less energy.
Demographic bias gaps are closing in face recognition, but how training images are sourced is becoming the field’s biggest privacy fight.
I’ve always been someone who prides myself on playing as many games as I possibly can, and that extends to competitive multiplayer games. I’ve never been “just” a Call of Duty guy or “just” a ...
The SEC has announced they will officially be moving to a 9-game conference schedule beginning in the 2026 season, making an already tough Georgia schedule even harder moving forward. The Southeastern ...
Abstract: This study aims to design an intelligent student management terminal, which integrates K-means clustering and artificial neural network (ANN) to improve the efficiency and personalized ...
The city of Chandler is spending $350,000 to address a growing pigeon problem on about a dozen city properties. The contract, awarded to "The Pigeon Guy," will involve installing steel cables and ...
The Grand Junction City Council recently convened to develop its strategic plan to guide city operations over the next two years. Rising to the top was a “back to the basics” paradigm, with a focus on ...
Abstract: This paper presents a new method that combines deep k-means clustering with granule mining approaches to utilise contextual information for improving outlier detection and classification.
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