January 2026

IR-drop is a critical power integrity challenge in modern VLSI designs that can cause timing degradation, reliability issues, and functional failures if not detected early in the design flow. Conventional IR-drop analysis relies on physics-based signoff tools, which provide high accuracy but incur significant computational cost and require near-final layout information, making them unsuitable for rapid early-stage design exploration. In this work, we propose a deep learning-based surrogate modeling approach for early-stage IR-drop estimation using a CNN. The […]

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Federated Learning (FL) facilitates decentralized collaborative learning without transmitting raw data. However, reliance on fixed global rounds or validation data for hyperparameter tuning hinders practical deployment by incurring high computational costs and privacy risks. To address this, we propose a data-free early stopping framework that determines the optimal stopping point by monitoring the task vector’s growth rate using solely server-side parameters. The numerical results on skin lesion/blood cell classification demonstrate that our approach is comparable to validation-based early […]

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How are you, hacker? 🪐Want to know what’s trending right now?: The Techbeat by HackerNoon has got you covered with fresh content from our trending stories of the day! Set email preference here. ## The Long Now of the Web: Inside the Internet Archive’s Fight Against Forgetting By @zbruceli [ 18 Min read ] A deep dive into the Internet Archive’s custom tech stack. Read More. Why Kubernetes Outages Are Usually Human Failures, Not Platform Bugs By @davidiyanu […]

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Modern CAPTCHA systems (v3, Enterprise, etc.) have shifted to behavioral analysis, measuring path curvature, jitter, and acceleration but most open-source datasets only provide final labels. This being a bottleneck for researchers trying to model human trajectories. So I just made a dataset that solves that problem. Specs: 30,000 verified human sessions (Breaking 3 world records for scale). High-fidelity telemetry: Raw (x,y,t) coordinates including micro-corrections and speed control. Complex Mechanics: Covers tracking and drag-and-drop tasks more difficult than today’s […]

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Hi , I’m much interested into applied RL and looking for a job or a summer internship this summer , I’m a 3rd year undergrad at a tier 1 research institute . However my doubt is my main interest in rl is its ability to create greater impact , speaking about impact what I truly wanted was to use sample efficient rl and create an impact in sustainability and energy grid optimization but I think a greater application […]

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I’ve been building a search system for long form content (talks, interviews, books, audio) where the goal isn’t “find the right document,” but more precise retrieval. On paper, it looked straightforward: embeddings, a vector DB, some metadata filters. In reality, the hardest problems weren’t model quality or infrastructure, but how the system behaves when users are vague, data is messy, and most constraints are inferred rather than explicitly stated. Early versions tried to deeply “understand” the query up […]

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Accurate molecular property prediction requires integrating complementary information from molecular structure and chemical semantics. In this work, we propose LGM-CL, a local-global multimodal contrastive learning framework that jointly models molecular graphs and textual representations derived from SMILES and chemistry-aware augmented texts. Local functional group information and global molecular topology are captured using AttentiveFP and Graph Transformer encoders, respectively, and aligned through self-supervised contrastive learning. In addition, chemically enriched textual descriptions are contrasted with original SMILES to incorporate physicochemical […]

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Institutional investors aren’t just chasing the next big Bitcoin rally anymore. Lately, the conversation has shifted. Now, it’s about how Bitcoin fits into a bigger portfolio—not just how much its price can jump in a day or two. Asset managers are thinking hard about risk and how Bitcoin might actually help smooth things out not just add more chaos. Cathie Wood, the CEO of Ark Invest, talked about this in her 2026 market outlook. She called Bitcoin a […]

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When marketing emails fail, they almost never fail loudly. The campaigns are queued. Dashboards look fine. Open rates dip a little, then a little more. Someone suggests testing a new subject line. Another person tweaks send time. What’s actually breaking isn’t copy or creative. It’s trust. And trust erodes quietly. I learned this running marketing technology and operations at Nextdoor, where we send hundreds of millions of emails a year to neighbors and businesses around the world. Some […]

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For nearly a century, Motorola has been a notable pioneer of communications (producing the first-ever handheld cell phone). As with any tech giant, it’s easy to rest on laurels. However, as of late, Motorola has been allocating resources to smart home security. This innovation and adaptation reflect a broader shift toward device interconnectivity. As homes become smarter, the need for safe and reliable IoT (Internet of Things) devices grows stronger. This expansion isn’t just a money grab for […]

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