Face and basic landmarks detection using mediapipe models with efficiency and very good accuracy and draw on image or save detected faces using opencv in python.
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LLMDiscover how DFlash leverages block diffusion and deep context conditioning to rethink speculative decoding. This novel framework abandons sequential token drafting to deliver massive, lossless speedups for large language model inference.
LLMAnthropic just redefined the frontier of AI capabilities with Claude 4.7 Opus. Explore how a massive 1M token context window and extended reasoning modes are pushing the boundaries of autonomous coding and complex problem-solving.
Deep LearningMIT researchers have introduced CompreSSM, a technique utilizing classical control theory to dynamically shed unnecessary complexity from state-space models during training. By calculating Hankel singular values, the algorithm identifies and prunes mathematical dead weight on the fly, drastically reducing compute costs without sacrificing performance.
Deep LearningGoogle's TurboQuant algorithm introduces a mathematically elegant solution to the LLM memory wall. By combining PolarQuant rotation and Johnson-Lindenstrauss compression, it radically shrinks the KV cache, enabling massive context windows on limited hardware.
Machine LearningTraditional fairness metrics rely on statistical correlations that often obscure the root causes of model bias. Learn how to use the newly released open-source library from Amazon Science to uncover the actual data-generating mechanisms behind disparities.
Deep LearningKronos brings the power of decoder-only transformers to financial markets by uniquely tokenizing continuous K-line data. This new foundation model achieves groundbreaking zero-shot forecasting and generates high-fidelity synthetic market histories for robust backtesting.
Deep LearningA pseudonymous 15-billion parameter model just revolutionized AI video generation. By processing audio and 1080p video in a single autoregressive sequence, HappyHorse-1.0 eliminates cascaded pipelines entirely.
Machine LearningNovita AI has partnered with Hugging Face to introduce instantaneous API deployments for open-source models. Discover how to bypass complex GPU infrastructure and deploy models like Gemma 4 into production in seconds.
LLMMiniMax-M2.7 introduces a groundbreaking recursive self-optimization framework that allows the model to actively participate in its own evolution. By autonomously generating evaluation data and synthetic training examples, it achieves massive performance gains without relying on human annotation.
