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Optical Poling Reveals Hidden Molecular Restructuring in Multimode Fibers, Unlocking Ultra-Efficient Third-Order Nonlinearities
Announce Type: new Abstract: Optical poling is a well-established technique for inducing \chi^{(2)} nonlinearity, yet its impact on silica's molecular structure remains unexplored. Here, we report the first direct observation of molecular restructuring in large-core graded-index multimode fibers (MMFs) induced by optical poling, transforming the silica tetrahedral ring network. Through coherent light beating, this process converts large rings of more than four SiO_4 tetrahedra into smaller...
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Microsoft AI CEO: My team is 'more concerned' about Anthropic, than Google, Meta and OpenAI
Microsoft’s artificial intelligence (AI) chief, Mustafa Suleyman, has revealed that his team is more focused on beating rival AI lab Anthropic and not Google, Meta or even its close partner OpenAI. Speaking at Microsoft’s Build developer conference, Suleyman explained that Anthropic’s aggressive push into business software and coding tools poses a direct threat to Microsoft's core corporate empire when compared with consumer-centric giants. “We’re more focused on the Anthropic-style which is...
Microsoft unveils new AI models to lessen reliance on OpenAI and lower costs for developers
Microsoft has been a major player in the artificial intelligence boom, providing key cloud infrastructure and services and taking multibillion-dollar equity stakes in OpenAI and Anthropic. Now the company is making a concerted effort to compete with proprietary models. At its Build developer conference in San Francisco on Tuesday, Microsoft announced MAI-Code-1, its inaugural model that takes written descriptions from people and spits out source code for applications and websites.
Approximate Imitation Learning for Event-based Quadrotor Flight in Cluttered Environments
arXiv:2603.07578v2 Announce Type: replace Abstract: Event cameras offer high temporal resolution and low latency, making them ideal sensors for high-speed robotic applications where conventional cameras suffer from motion blur. However, their widespread adoption in robot learning is severely bottlenecked by the computational cost of simulating high-frequency event data during online training. In this work, we present Approximate Imitation Learning, a novel framework that fundamentally...