April 2026

In rare chickenpox case, itchy blisters mushroom into large, rubbery nodules

In rare chickenpox case, itchy blisters mushroom into large, rubbery nodules

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Those who suffered through chickenpox as kids likely remember the agony of its itchy rash. Oven mitts or snow gloves may have been used to prevent you from inadvertently clawing your skin off, while dips in oatmeal may have offered some temporary relief. But in the end, you just had to endure the full cycle of the rash—from the breakout of the first raised, itchy papules that inflate into fluid-filled blisters that then break and leak, to the […]

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Building Workforce AI Agents with Visier and Amazon Quick

Building Workforce AI Agents with Visier and Amazon Quick

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Employees across every function are expected to make faster, better-informed decisions, but the information that they need rarely lives in one place. Workforce intelligence (who is in your organization, how they are performing, and where the gaps are) is one of the most valuable signals an enterprise has, and platforms like Visier are purpose-built to surface it. However, that intelligence only reaches its full value when it’s connected to the internal policies, plans, and context that give it […]

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I have RL(self driving) Interview with Tesla, not sure what to expect

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Hi, I have an interview scheduled with Autopilot team at Tesla. Im a new grad and I’m not sure what to expect. Does anyone have an idea on what technical topics, coding, system design topics should I prepared for? Also, what Data Structures are usually asked in these kind of interviews? submitted by /u/Next_Boysenberry9438 [link] [comments]

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Soldier won $410K in Polymarket bets on timing of Maduro capture, US alleges

Soldier won $410K in Polymarket bets on timing of Maduro capture, US alleges

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A US Army soldier was arrested for insider trading after being accused of making prediction-market wagers on the timing of the military’s capture of Venezuelan President Nicolás Maduro. Army soldier Gannon Ken Van Dyke made a profit of nearly $410,000 by making bets on Polymarket, and he was indicted on charges of unlawful use of confidential government information for personal gain, theft of nonpublic government information, commodities fraud, wire fraud, and making an unlawful monetary transaction, the Department […]

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DeepSeek AI Releases DeepSeek-V4: Compressed Sparse Attention and Heavily Compressed Attention Enable One-Million-Token Contexts

DeepSeek AI Releases DeepSeek-V4: Compressed Sparse Attention and Heavily Compressed Attention Enable One-Million-Token Contexts

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DeepSeek-AI has released a preview version of the DeepSeek-V4 series: two Mixture-of-Experts (MoE) language models built around one core challenge making one-million-token context windows practical and affordable at inference time. The series consists of DeepSeek-V4-Pro, with 1.6T total parameters and 49B activated per token, and DeepSeek-V4-Flash, with 284B total parameters and 13B activated per token. Both models natively support a context length of one million tokens. DeepSeek-V4-Pro was pre-trained on 33T tokens and DeepSeek-V4-Flash on 32T tokens. Model […]

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Why AI agents need interaction infrastructure

Why AI agents need interaction infrastructure

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To stop automation waste, enterprises must deploy interaction infrastructure that physically governs how independent AI agents operate. AI agents now populate corporate networks, reasoning through tasks and executing decisions with increasing autonomy. Yet, when these independent actors attempt to coordinate work, exchange context, or operate across varied cloud environments, the interaction framework degrades quickly. Human operators find themselves acting as the manual glue between disconnected systems, managing fragile integrations while the rules dictating permissions and data sharing remain […]

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Iterative Model-Learning Scheme via Gaussian Processes for Nonlinear Model Predictive Control of (Semi-)Batch Processes

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Batch processes are inherently transient and typically nonlinear, motivating nonlinear model predictive control (NMPC). However, adopting NMPC is hindered by the cost and unavailability of dynamic models. Thus, we propose to use Gaussian Processes (GP) in a model-learning NMPC scheme (GP-MLMPC) for batch processes. We initialize the GP-MLMPC using data from a single initial trajectory, e.g., from a PI controller. We iteratively apply the NMPC embedded with GPs to run batches and update the GP with new observations […]

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Quality-Driven Selective Mutation for Deep Learning

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Mutants support testing and debugging in two roles: (i) as test goals and (ii) as substitutes for real faults. Hard-to-kill mutants provide better guidance for test improvement, while realism is essential when mutants are used to simulate real bugs. Building on these roles, selective mutation for deep learning (DL) aims to reduce the cost of mutant generation and execution by choosing operator configurations that yield resistant and realistic mutants. However, the DL literature lacks a unified measure that […]

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Beyond Patient Invariance: Learning Cardiac Dynamics via Action-Conditioned JEPAs

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Self-supervised learning in healthcare has largely relied on invariance-based objectives, which maximize similarity between different views of the same patient. While effective for static anatomy, this paradigm is fundamentally misaligned with clinical diagnosis, as it mathematically compels the model to suppress the transient pathological changes it is intended to detect. We propose a shift towards Action-Conditioned World Models that learn to simulate the dynamics of disease progression, or Event-Conditioned. Adapting the LeJEPA framework to physiological time-series, we define […]

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Data-Free Contribution Estimation in Federated Learning using Gradient von Neumann Entropy

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Client contribution estimation in Federated Learning is necessary for identifying clients’ importance and for providing fair rewards. Current methods often rely on server-side validation data or self-reported client information, which can compromise privacy or be susceptible to manipulation. We introduce a data-free signal based on the matrix von Neumann (spectral) entropy of the final-layer updates, which measures the diversity of the information contributed. We instantiate two practical schemes: (i) SpectralFed, which uses normalized entropy as aggregation weights, and […]

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