arXiv:2602.20177v1 Announce Type: new Abstract: In this work, we present a methodology using Physics Informed Neural Networks (PINNs) to determine the required velocity of a coolant, given inlet and outlet temperatures for a given heat flux in a multilayered metal-oxide-semiconductor field-effect transistor (MOSFET). MOSFETs are integral components of Power Electronic Building Blocks (PEBBs) and experiences the majority of the thermal load. Effective cooling of MOSFETs is therefore essential to prevent overheating and potential burnout. Determining the required velocity […]

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arXiv:2603.08823v1 Announce Type: new Abstract: We introduce Fish Audio S2, an open-sourced text-to-speech system featuring multi-speaker, multi-turn generation, and, most importantly, instruction-following control via natural-language descriptions. To scale training, we develop a multi-stage training recipe together with a staged data pipeline covering video captioning and speech captioning, voice-quality assessment, and reward modeling. To push the frontier of open-source TTS, we release our model weights, fine-tuning code, and an SGLang-based inference engine. The inference engine is production-ready for streaming, […]

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arXiv:2602.17843v1 Announce Type: new Abstract: In this work, we design and analyze a novel, provably conditionally stable, weakly coupled partitioned scheme to solve the conjugate heat transfer (CHT) problem. We consider a model CHT problem consisting of linear advection-diffusion and heat equations, coupled at an interface through continuity of temperature and heat flux. We employ high-order summation-by-parts finite-difference operators in conjunction with simultaneous-approximation-terms (SATs) in curvilinear coordinates for spatial derivatives, combined with first- and second-order time discretizations and […]

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Machine learning interatomic potentials (MLIPs) have proven to be wildly useful for molecular dynamics simulations, powering countless drug and materials discovery applications. However, MLIPs face two primary bottlenecks preventing them from reaching realistic simulation scales: inference time and memory consumption. In this work, we address both issues by challenging the long-held belief that the cutoff radius for the MLIP must be held to a fixed, constant value. For the first time, we introduce a dynamic cutoff formulation that […]

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Big Tech will spend over $600 billion on AI infrastructure in 2026 — a 36% jump from last year. The vast majority of that capital is flowing toward one thing: GPUs. For investors who already understand hardware-based yield and decentralized infrastructure, this represents a familiar opportunity in an unfamiliar market. The GPU Shortage Isn’t Hype. It’s Structural. Graphics processing units were originally designed to render video game graphics. Today, they are the computational backbone of artificial intelligence. Every […]

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LiteLLM Hack: Were You One of the 47,000? Daniel Hnyk used the BigQuery PyPI dataset to determine how many downloads there were of the exploited LiteLLM packages during the 46 minute period they were live on PyPI. The answer was 46,996 across the two compromised release versions (1.82.7 and 1.82.8). They also identified 2,337 packages that depended on LiteLLM – 88% of which did not pin versions in a way that would have avoided the exploited version. Via […]

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arXiv:2509.25170v3 Announce Type: replace-cross Abstract: The performance of flow matching and diffusion models can be greatly improved at inference time using reward alignment algorithms, yet efficiency remains a major limitation. While several algorithms were proposed, we demonstrate that a common bottleneck is the sampling method these algorithms rely on: many algorithms require to sample Markov transitions via SDE sampling, which is significantly less efficient and often less performant than ODE sampling. To remove this bottleneck, we introduce GLASS […]

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Most common-sense explanations of time quietly assume what they are supposed to explain. We say time moves forward because clocks tick. But clocks only measure something, they do not explain why it has a direction. n We say time moves forward because the universe started in a special state. But that just pushes the mystery to the beginning and calls it a solution. The arrow of time still looks like a narrative patch. A story we tell to […]

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