arXiv:2602.06139v1 Announce Type: new Abstract: Understanding egocentric videos plays a vital role for embodied intelligence. Recent multi-modal large language models (MLLMs) can accept both visual and audio inputs. However, due to the challenge of obtaining text labels with coherent joint-modality information, whether MLLMs can jointly understand both modalities in egocentric videos remains under-explored. To address this problem, we introduce EgoAVU, a scalable data engine to automatically generate egocentric audio-visual narrations, questions, and answers. EgoAVU enriches human narrations with […]

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arXiv:2601.14495v1 Announce Type: new Abstract: There are several paradigms for integrating interactive and automated theorem provers, combining the convenience of powerful automation with strong soundness guarantees. We introduce a new approach for reconstructing proofs found by SMT solvers which we intend to be complementary with existing techniques. Rather than verifying or replaying a full proof produced by the SMT solver, or at the other extreme, rediscovering the solver’s proof from just the set of premises it uses, we […]

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​ So I’m looking at buying a new 14 inch MacBook pro with m5 pro and 64 gb of memory vs m4 max with same specs. My priorities are pro software development including running multiple VMs and agents and containers, and playing around with local LLMs, maybe fine-tuning and also training regular old machine learning models. it seems like I’d go for the m4 max because of the extra GPU cores, way higher bandwidth, only marginal difference in […]

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The life of a prescription at Amazon Pharmacy From pricing estimation and regulatory compliance to inventory management and chatbot assistants, machine learning models help Amazon Pharmacy customers stay healthy and save time and money. Conversational AI Alexandre Alves Anita Vila September 30, 01:32 PM October 02, 11:42 AM Pharmacies play a vital role in ensuring patients health, but the process of dispensing medications is far more complex than it may appear. At Amazon Pharmacy, we are using artificial […]

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arXiv:2602.07197v1 Announce Type: new Abstract: Deep Neural Networks (DNNs) are vulnerable to backdoor attacks. Due to the nature of Machine Learning as a Service (MLaaS) applications, black-box defenses are more practical than white-box methods, yet existing purification techniques suffer from key limitations: a lack of justification for specific transformations, dataset dependency, high computational overhead, and a neglect of frequency-domain transformations. This paper conducts a preliminary study on various image transformations, identifying down-upscaling as the most effective backdoor trigger […]

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Banks have been operating worldwide for centuries, so it’s fair to wonder how money could work without them. That’s cryptocurrencies, by the way: money. A new type, a digital type, a decentralized type; specifically designed to be out of reach for banks, governments, and any other big central party.  Crypto networks, unlike banks, are systems that run day and night, across borders, with rules enforced by code rather than by a central authority. Let’s break this down. How […]

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For years, hacking was treated like a hard skill game. The best attackers were the ones who could code from scratch, chain exploits, reverse engineer software, and move through systems without leaving obvious traces. Skill created separation. Experience created power. That is starting to change. The next big cybersecurity shift may not come from hackers becoming dramatically smarter. It may come from them becoming dramatically more efficient. Because now, instead of needing better technical skills, many attackers may […]

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Claude: Speed up responses with fast mode New “research preview” from Anthropic today: you can now access a faster version of their frontier model Claude Opus 4.6 by typing /fast in Claude Code… but at a cost that’s 6x the normal price. Opus is usually $5/million input and $25/million output. The new fast mode is $30/million input and $150/million output! There’s a 50% discount until the end of February 16th, so only a 3x multiple (!) before then. […]

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This paper focuses on the scalable robot learning for manipulation in the dexterous robot arm-hand systems, where the remote human-robot interactions via augmented reality (AR) are established to collect the expert demonstration data for improving efficiency. In such a system, we present a unified framework to address the general manipulation task problem. Specifically, the proposed method consists of two phases: i) In the first phase for pretraining, the policy is created in a behavior cloning (BC) manner, through […]

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