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Trump warns of 68% tax hike if budget bill fails. Not true, say experts | Donald Trump News | Al Jazeera
https://www.aljazeera.com/news/2025/6/11/trump-warns-of-68-tax-hike-if-budget-bill-fails-not-true-say-experts

How AI is being used by patients and doctors alike to recommend diagnoses and treatments, as experts warn of answers that seem confident but lack nuance (Ryan Flinn/Wired)
https://www.wired.com/story/dr-chatgpt-will-see…

Dr. ChatGPT Will See You Now
Patients and doctors are turning to AI for diagnoses and treatment recommendations, often with stellar results, but problems arise when experts and algorithms disagree.

#Git experts should try Jujutsu
https://pksunkara.com/thoughts/git-experts-should-try-jujutsu/

President Trump is the first to ask federal job applicants to describe their allegiance to administration policy in an essay
or to mandate training for senior government officials on White House executive orders, experts said.
Senior agency officials, who are often political appointees, are to be directly involved in the hiring process, which has not previously been the case.
The guidelines, released last month, arrived at a time when the Trump administration was beginning …

In Trump’s ‘Patriotic’ Hiring Plan, Experts See a Politicized Federal Work Force
Political appointments inherently take into consideration loyalty to the president or the party. But expanding those types of questions to the career civil service is a significant departure.

MoRE: Mixture of Residual Experts for Humanoid Lifelike Gaits Learning on Complex Terrains
Dewei Wang, Xinmiao Wang, Xinzhe Liu, Jiyuan Shi, Yingnan Zhao, Chenjia Bai, Xuelong Li
https://arxiv.org/abs/2506.08840

MoRE: Mixture of Residual Experts for Humanoid Lifelike Gaits Learning on Complex Terrains
Humanoid robots have demonstrated robust locomotion capabilities using Reinforcement Learning (RL)-based approaches. Further, to obtain human-like behaviors, existing methods integrate human motion-tracking or motion prior in the RL framework. However, these methods are limited in flat terrains with proprioception only, restricting their abilities to traverse challenging terrains with human-like gaits. In this work, we propose a novel framework using a mixture of latent residual experts with mu…

Probing Experts' Perspectives on AI-Assisted Public Speaking Training
Nesrine Fourati, Alisa Barkar, Marion Drag\'ee, Liv Danthon-Lefebvre, Mathieu Chollet
https://arxiv.org/abs/2507.07930

Probing Experts' Perspectives on AI-Assisted Public Speaking Training
Background: Public speaking is a vital professional skill, yet it remains a source of significant anxiety for many individuals. Traditional training relies heavily on expert coaching, but recent advances in AI has led to novel types of commercial automated public speaking feedback tools. However, most research has focused on prototypes rather than commercial applications, and little is known about how public speaking experts perceive these tools. Objectives: This study aims to evaluate expert…

Mamba Goes HoME: Hierarchical Soft Mixture-of-Experts for 3D Medical Image Segmentation
Szymon P{\l}otka, Maciej Chrabaszcz, Gizem Mert, Ewa Szczurek, Arkadiusz Sitek
https://arxiv.org/abs/2507.06363

Mamba Goes HoME: Hierarchical Soft Mixture-of-Experts for 3D Medical Image Segmentation
In recent years, artificial intelligence has significantly advanced medical image segmentation. However, challenges remain, including efficient 3D medical image processing across diverse modalities and handling data variability. In this work, we introduce Hierarchical Soft Mixture-of-Experts (HoME), a two-level token-routing layer for efficient long-context modeling, specifically designed for 3D medical image segmentation. Built on the Mamba state-space model (SSM) backbone, HoME enhances seque…

CoQMoE: Co-Designed Quantization and Computation Orchestration for Mixture-of-Experts Vision Transformer on FPGA
Jiale Dong, Hao Wu, Zihao Wang, Wenqi Lou, Zhendong Zheng, Lei Gong, Chao Wang, Xuehai Zhou
https://arxiv.org/abs/2506.08496

CoQMoE: Co-Designed Quantization and Computation Orchestration for Mixture-of-Experts Vision Transformer on FPGA
Vision Transformers (ViTs) exhibit superior performance in computer vision tasks but face deployment challenges on resource-constrained devices due to high computational/memory demands. While Mixture-of-Experts Vision Transformers (MoE-ViTs) mitigate this through a scalable architecture with sub-linear computational growth, their hardware implementation on FPGAs remains constrained by resource limitations. This paper proposes a novel accelerator for efficiently implementing quantized MoE models…

Secretary of State Marco Rubio is pushing to 🆘 investigate whether Harvard University violated federal sanctions by collaborating on a health insurance conference in China that may have included officials blacklisted by the U.S. government.
Rubio signed off on a recommendation to the Treasury Department last month to open an investigation,
which experts and former Treasury officials said was 👉an unusual attempt from a cabinet secretary to target a domestic entity for sanctions enf…

Rubio Is Pressing to Open Sanctions Investigation Into Harvard
Experts and former officials said it was unusual for a cabinet secretary to try to influence the Treasury Department’s sanctions process to target a domestic entity.

Sources: Mark Zuckerberg, frustrated at Meta's AI shortfalls, is personally assembling a team of AI experts and met engineers at his homes in recent weeks (Bloomberg)