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Motivation: Peptide-protein interactions (PepPIs) are central to cellular regulation and peptide therapeutics, but experimental characterization remains too slow for large-scale screening. Existing methods usually emphasize either interaction prediction or peptide generation, leaving candidate prioritization, residue-level interpretation, and target-conditioned expansion insufficiently integrated. Results: We present an integrated framework for early-stage peptide screening that combines a partner-aware prediction and localization model (ConGA-PepPI) with a target-conditioned generative model (TC-PepGen). ConGA-PepPI uses asymmetric encoding, bidirectional cross-attention, and progressive transfer from pair prediction […]

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Multimodal affective computing aims to predict humans’ sentiment, emotion, intention, and opinion using language, acoustic, and visual modalities. However, current models often learn spurious correlations that harm generalization under distribution shifts or noisy modalities. To address this, we propose a causal modality-invariant representation (CmIR) learning framework for robust multimodal learning. At its core, we introduce a theoretically grounded disentanglement method that separates each modality into `causal invariant representation’ and `environment-specific spurious representation’ from a causal inference perspective. CmIR […]

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Performance, power, and area (PPA) optimization is a fundamental task in RTL design, requiring a precise understanding of circuit functionality and the relationship between circuit structures and PPA metrics. Recent studies attempt to automate this process using LLMs, but neither feedback-based nor knowledge-based methods are efficient enough, as they either design without any prior knowledge or rely heavily on human-summarized optimization rules. In this paper, we propose AutoPPA, a fully automated PPA optimization framework. The key idea is […]

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Hi, I applied to two professional master’s programs this year, one at MILA and one at Polytechnique Montréal. I got accepted at Poly, but rejected from MILA, and they suggested I complete a minor in computer science instead. I’m trying to figure out whether it’s actually worth doing the minor and reapplying to MILA, or if I should just go straight to Poly. I already have a background in software development, a bachelor’s degree in mechanical engineering, and […]

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Anthropic developed Claude AI models as part of its mission to create safe artificial intelligence systems and has thus undergone rapid technological progress. The Claude AI model’s evolution demonstrates important developments in reasoning abilities, context management, and enterprise application effectiveness. From its initial version to the current Claude AI updates, it has developed into a powerful tool, serving developers, companies, and researchers. What Are Claude AI Models? The Anthropic Claude models constitute advanced artificial intelligence systems that perform […]

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Artificial Intelligence (AI) has evolved to a level where it can create videos and significantly change how organizations and individuals create visual content. Google’s new AI-generated video tool, Google Veo AI, has made headlines with its ability to generate high-quality cinematic videos from simple text prompts. Unlike older AI models, the new Veo 3.1 Lite doesn’t require a computer with high processing resources. This lightweight version of the original product provides a cheaper alternative that functions quickly, helping […]

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Major players like Google DeepMind have made breakthroughs, resulting in a rapid increase in the capabilities of AI-generated video production. One of their most technologically advanced pieces of equipment is the new Google Veo AI program that lets users convert both textual prompts and photos into realistic film-quality videos. With this new Veo AI video generator, we can now create videos with an artistic expression that’s never been available for generative AI art. Since its launch, the Google […]

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A team of researchers did just that, starting small. The idea was to take a brain, map it neuron by neuron, and run that map inside a machine. They recreated a fruit fly brain, plugged it into a digital body, and watched as the virtual insect behaved like the real thing. There weren’t any separate lines of code for every behaviour, the digital fly’s actions came straight from simulated neural activity. It navigated its environment, reacted to what […]

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Key Highlights: This launch marks a big shift. AI tools are evolving from simple assistants that generate text or code into platforms that can produce full creative outputs. With Claude Design, Anthropic isn’t just chasing the chatbot crowd; it’s aiming to become a productivity platform for all kinds of professional work. The timing is perfect as more and more people are looking for tools that can handle complex tasks in one, prompt-driven experience. At its core, Claude Design […]

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In self-supervised learning, self-distilled methods have shown impressive performance, learning representations useful for downstream tasks and even displaying emergent properties. However, state-of-the-art methods usually rely on ensembles of complex mechanisms, with many design choices that are empirically motivated and not well understood. In this work, we explore the role of self-distillation within learning dynamics. Specifically, we isolate the effect of self-distillation by training a group of randomly initialized networks, removing all other common components such as projectors, predictors, […]

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