digitado

CyberX Africa 2026 is set to take place on 3rd March 2026 in Johannesburg, South Africa, bringing together leading cybersecurity experts, technology innovators, policymakers, and enterprise decision-makers from across the continent. As Africa’s digital ecosystem rapidly expands, CyberX Africa 2026 serves as a strategic platform to address emerging cyber threats, strengthen digital resilience, and accelerate secure digital transformation. The event will feature high-level keynote sessions, expert-led panel discussions, and solution-driven presentations focused on critical themes such as cloud […]

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Try to think of just one area where artificial intelligence is not leaving a mark, and you’ll realise there’s almost none. And in the forex world, things have not been any different. It’s a big part of why Fortune Business Insights values the global AI market size at $375.93 billion. Looking ahead, the sector could continue making significant strides, reaching $2.48 trillion by 2034. The days of poring over charts and staring at economic indicators, hoping your instincts […]

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In recent years, multi-view multi-label learning (MVML) has attracted extensive attention due to its close alignment to real-world scenarios. Information-theoretic methods have gained prominence for learning nonlinear correlations. However, two key challenges persist: first, features in real-world data commonly exhibit high-order structural correlations, but existing information-theoretic methods struggle to learn such correlations; second, commonly relying on heuristic optimization, information-theoretic methods are prone to converging to local optima. To address these two challenges, we propose a novel method called […]

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Verita AI is building the “Gym” for LLM reasoning. We are moving beyond simple chat-based RLHF into complex, grounded RL environments where models must solve multi-step engineering and research problems to receive a reward. The Mission Design robust, un-hackable RL environments (Prompt + Judge + Tools) that challenge top-tier models (GPT-5.2, Claude opus 4.6). Think SWE-Bench, but for AI/ML research. What We’re Looking For Technical Fluency: Deep PyTorch/JAX knowledge and the ability to debug distributed training. Adversarial Thinking: […]

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Local class imbalance and data heterogeneity across clients often trap prototype-based federated contrastive learning in a prototype bias loop: biased local prototypes induced by imbalanced data are aggregated into biased global prototypes, which are repeatedly reused as contrastive anchors, accumulating errors across communication rounds. To break this loop, we propose Confidence-Aware Federated Contrastive Learning (CAFedCL), a novel framework that improves the prototype aggregation mechanism and strengthens the contrastive alignment guided by prototypes. CAFedCL employs a confidence-aware aggregation mechanism […]

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Python’s special __init__.py file marks a directory as a regular Python package and allows you to import its modules. This file runs automatically the first time you import its containing package. You can use it to initialize package-level variables, define functions or classes, and structure the package’s namespace clearly for users. By the end of this video course, you’ll understand that: A directory without an __init__.py file becomes a namespace package, which behaves differently from a regular package […]

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Hey! I’m currently a undergrad student graduating in May and soon starting my Masters in AI. I’ve wanted to write a research paper to start gaining some experience in that area and just recently finished my first one. This paper focuses on investigating segmentation under some extreme foreground sparsity, around 1.8% of positive pixels during a whiteboard digitization. It connects to a small project I was working on where you can take a photo of a whiteboard and […]

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