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Nvidia just admitted the general-purpose GPU era is ending
Nvidia’s $20 billion strategic licensing deal with Groq represents one of the first clear moves in a four-front fight over the future AI stack. 2026 is when tha...
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The Seed Corn
Episode II The first episode discussed the thinkers; this episode focuses on the doers. This is not an argument against automation or AI. It is an argument aga...
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How to watch the AMD CES 2026 keynote live
AMD is kicking off CES 2026 on Monday, where it'll cover its latest AI developments and perhaps show off its newest Ryzen chips. The company will outline the fu...
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[Paper] AdaGaR: Adaptive Gabor Representation for Dynamic Scene Reconstruction
Reconstructing dynamic 3D scenes from monocular videos requires simultaneously capturing high-frequency appearance details and temporally continuous motion. Exi...
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[Paper] Two Deep Learning Approaches for Automated Segmentation of Left Ventricle in Cine Cardiac MRI
Left ventricle (LV) segmentation is critical for clinical quantification and diagnosis of cardiac images. In this work, we propose two novel deep learning archi...
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[Paper] Geometry of Reason: Spectral Signatures of Valid Mathematical Reasoning
We present a training-free method for detecting valid mathematical reasoning in large language models through spectral analysis of attention patterns. By treati...
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[Paper] Fusion-SSAT: Unleashing the Potential of Self-supervised Auxiliary Task by Feature Fusion for Generalized Deepfake Detection
In this work, we attempted to unleash the potential of self-supervised learning as an auxiliary task that can optimise the primary task of generalised deepfake ...
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[Paper] Adapting Natural Language Processing Models Across Jurisdictions: A pilot Study in Canadian Cancer Registries
Population-based cancer registries depend on pathology reports as their primary diagnostic source, yet manual abstraction is resource-intensive and contributes ...
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[Paper] FedHypeVAE: Federated Learning with Hypernetwork Generated Conditional VAEs for Differentially Private Embedding Sharing
Federated data sharing promises utility without centralizing raw data, yet existing embedding-level generators struggle under non-IID client heterogeneity and p...
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[Paper] Categorical Reparameterization with Denoising Diffusion models
Gradient-based optimization with categorical variables typically relies on score-function estimators, which are unbiased but noisy, or on continuous relaxations...
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[Paper] Investigating the Viability of Employing Multi-modal Large Language Models in the Context of Audio Deepfake Detection
While Vision-Language Models (VLMs) and Multimodal Large Language Models (MLLMs) have shown strong generalisation in detecting image and video deepfakes, their ...
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[Paper] LLM Agents for Combinatorial Efficient Frontiers: Investment Portfolio Optimization
Investment portfolio optimization is a task conducted in all major financial institutions. The Cardinality Constrained Mean-Variance Portfolio Optimization (CCP...