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Disruption review – anti-AI thriller boasts knockout cast but tech commentary needs an update

ai, AI (Artificial Intelligence), Artificial Intelligence, Culture, John David Washington, Stage, Theatre, US theater

Pershing Square Signature Center, New YorkJohn David Washington leads an exceptionally talented cast in a sleek off-Broadway thriller that feels a little datedMaking its US debut three years after its London premiere, Andrew Stein’s Disruption faces the typical battle of the topical play: even with the most expedient fast-track to production, works tackling current events

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IEEE Transactions on Evolutionary Computation, Volume 30, Issue 4, August 2025

ai, AI (Artificial Intelligence), Artificial Intelligence, IEEE TEVC, journals, TEVC

1) Guest Editorial: Evolutionary Computation Meets Large Language ModelsAuthor(s): M. Jiang, L. Feng, Q. Zhang, K. C. TanPages: 1330 – 1332 2) Spike-Driven Lightweight Large Language Model With Evolutionary ComputationAuthor(s): M. Zhang, W. Wei, Z. Zhou, W. Liu, J. Zhang, A. Belatreche, Y. YangPages: 1333 – 1346 3) Evolutionary Computation-Enhanced Large Language Models for Intelligent Code CompletionAuthor(s): D. Liu, Z.

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Australia news live: Chalmers asks regulator to watch service stations ‘like a hawk’ as fuel excise cut ends

ai, AI (Artificial Intelligence), Artificial Intelligence, Australia news, Australian foreign policy, Australian media, Australian politics, Iran, Jim Chalmers, LinkedIn, One Nation, Pauline Hanson, Petrol prices

Fuel excise cut, which was imposed after outbreak of Iran conflict, ended at midnight on Monday. Follow today’s news liveChalmers puts service stations on notice … againNow that the fuel exercise cut has ended, the treasurer has told the consumer watchdog to closely monitor service stations to make sure they’re not price gouging.The regulator will

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A Tutorial on GeoAI: Designing Footprint Extraction from NAIP Imagery Using U-Net, Grounding DINO, SAM, and Mask R-CNN

ai, AI (Artificial Intelligence), Artificial Intelligence, Computer vision, Editors Pick, Staff, Technology, Tutorials

In this tutorial, we design a complete GeoAI workflow for extracting building footprints from high-resolution NAIP aerial imagery. We begin by configuring the geospatial deep learning environment, downloading raster imagery and vector labels, and inspecting their spatial properties before generating georeferenced image chips and segmentation masks. We then train a U-Net model with a ResNet-34

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