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AIME 2026

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MLS aims to turn 2026 World Cup attention into lasting gains

MLS aims to turn 2026 World Cup attention into lasting gains LOS ANGELES, June 8 : Major League Soccer Commissioner Don Garber says the league is treating the 2026 FIFA World Cup not as a six-week showcase but as the launchpad for a new era, aiming to convert global attention on North American soccer into lasting growth in fans, relevance and stature. Garber said MLS began planning for the tournament after hosting rights were awarded in 2018, using the event as fuel to expand, improve...

Channel News Asia 2d ago

‘We are fighters’: Iraq aim to shock rivals at 2026 World Cup

‘We are fighters’: Iraq aim to shock rivals at 2026 World Cup Coach Graham Arnold and two key players speak to Al Jazeera ahead of Iraq’s first World Cup appearance since 1986. Twenty hours on a bus, a charter plane out of the Middle East, and a one-off game carrying the expectations of 48 million people: Iraq’s journey to the 2026 World Cup was not for the faint-hearted. The Lions of Mesopotamia were the final country to secure their spot at this summer’s tournament, after a gruelling...

Al Jazeera 5d ago

Artificial Intelligence Consortium minutes – February 2026

The Artificial Intelligence Consortium (AIC) aims to provide a platform for public-private engagement to further dialogue on the capabilities, development, deployment, use, and potential risks of artificial intelligence (AI) in UK financial services.

Bank of England News 11d ago

Microsoft's MAI-Code-1-Flash Scores 51% SWE-Bench Pro with Just 5B Active Params

MAI-Code-1-Flash Features Coding task reasoning Agentic execution Broad programming language support Fluent across programming languages, frameworks, and ecosystems. Optimized for GitHub Copilot in VS Code Performance SWE-Bench Pro 0 % Coding capabilities AIME 2026 0 % Math performance IFBench 0 % Instruction following

Hacker News 8d ago

Edge Prediction for Roof Wireframe Reconstruction with Transformers

arXiv:2606.02406v1 Announce Type: new Abstract: This paper presents a competitive solution to the S23DR Challenge 2026, which aims to reconstruct 3D house roof wireframe models from sparse SfM point clouds and ground-level semantic segmentations and depth maps. Our proposed method utilizes an end-to-end Transformer encoder-decoder architecture inspired by DETR. To effectively process the geometric and semantic data, the sparse SfM point cloud input is dynamically subsampled based on semantic...

arXiv CS 8d ago