Parsing with Haskell (Part 2): Parsing with Happy This is the second and final part of the Parsing with Haskell series. If you haven’t read the first part yet, you can find it here. In this article, we will use Happy to generate a parser that will consume the token stream from the lexer created by Alex. As with Alex, our goal is to provide enough information to be productive. Hence, we won’t cover all the features of […]

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The 10 most viewed publications of 2025 From foundation model safety frameworks and formal verification at cloud scale to advanced robotics and multimodal AI reasoning, these are the most viewed publications from Amazon scientists and collaborators in 2025. Staff writer December 29, 11:28 AM December 29, 11:28 AM Amazon Nova Premier: Technical report and model card Amazon Nova Premier is Amazons most capable multimodal foundation model and teacher for model distillation. Nova Premier processes text, images, and videos […]

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The machine that will make tomorrow’s AI chips possible has just been declared ready for mass production – and the clock for the industry’s next leap has officially started. ASML, the Dutch company that holds a global monopoly on commercial extreme ultraviolet lithography equipment, confirmed this week that its High-NA EUV tools have crossed the threshold from technically impressive to genuinely production-ready. The announcement was made exclusively to Reuters by ASML’s chief technology officer Marco Pieters ahead of […]

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Intellectual property on the blockchain is supposed to be the future. Programmable licenses, instant provenance verification, transparent royalty splits – the pitch basically writes itself, but the developer tooling tells a different story entirely. Try registering an IP asset on Story Protocol today. You will format JSON metadata by hand. You will debug cryptic SDK error messages. You will burn testnet gas on failed transactions because nothing validated your inputs before hitting the chain. The whole process takes 15–30 minutes […]

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arXiv:2602.13311v1 Announce Type: new Abstract: In industrial millimeter-wave (mmWave) multi-hop Integrated Access and Backhaul (IAB) networks, dynamic blockages caused by moving obstacles pose a severe threat to robust and continuous networks. While Packet Duplication (PD) enhances reliability by path diversity, it inevitably doubles the traffic load, leading to severe congestion and degraded Age of Information (AoI). To navigate this reliability-congestion trade-off, we formulated an optimization problem in a multi-hop IAB scenario that minimizes the average AOI while satisfying […]

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arXiv:2602.15273v1 Announce Type: new Abstract: Information ecosystems increasingly shape how people internalize exposure to adverse digital experiences, raising concerns about the long-term consequences for information health. In modern search and recommendation systems, ranking and personalization policies play a central role in shaping such exposure and its long-term effects on users. To study these effects in a controlled setting, we present FrameRef, a large-scale dataset of 1,073,740 systematically reframed claims across five framing dimensions: authoritative, consensus, emotional, prestige, and […]

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Dear all, first time writing here. I’m a deep learning PhD student trying to decide between a MacBook Air 15 (M4, 32 GB, 1 TB) and a ThinkPad P14s with Ubuntu and an NVIDIA RTX Pro 1000. For context, I originally used a MacBook for years, then switched to a ThinkPad and have been on Ubuntu for a while now. My current machine is an X1 Carbon 7 gen with no GPU, since all heavy training runs on […]

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arXiv:2602.04078v1 Announce Type: cross Abstract: Deep learning has achieved remarkable success across a wide range of domains, significantly expanding the frontiers of what is achievable in artificial intelligence. Yet, despite these advances, critical challenges remain — most notably, ensuring robustness to small input perturbations and generalization to out-of-distribution data. These critical challenges underscore the need to understand the underlying fundamental principles that govern robustness and generalization. Among the theoretical tools available, Lipschitz continuity plays a pivotal role in […]

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arXiv:2602.13323v1 Announce Type: new Abstract: The ability of autonomous systems to provide explanations is important for supporting transparency and aiding the development of (appropriate) trust. Prior work has defined a mechanism for Belief-Desire-Intention (BDI) agents to be able to answer questions of the form “why did you do action $X$?”. However, we know that we ask emph{contrastive} questions (“why did you do $X$ emph{instead of} $F$?”). We therefore extend previous work to be able to answer such questions. […]

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