Will Smith parodies AI spaghetti video, showcasing OpenAI's Sora model's advancement. Instagram fans debate if Smith's comical video is AI-generated or not.
Learn how to solve binary classification problems using Bayesian methods in Python, focusing on building a Bayesian logistic regression model using Pyro. Utilizing the heart failure prediction dataset from Kaggle, the article covers EDA, feature engineering, model building, and evaluation, highlighting the presence of outliers in the data and the use of standardization scaling for continuous nu...
OpenAI unveils Sora, a groundbreaking text-to-video AI model creating photorealistic HD videos from written descriptions. Reportedly surpasses all existing models in fidelity, consistency, and has tech experts in awe.
Amazon Bedrock offers high-performing AI models from top companies like Meta and Cohere. The Titan Image Generator creates realistic images from simple text prompts, while the Multimodal Embeddings model enhances search accuracy by understanding text and images.
Matrix decomposition breaks down matrices into components - QR, SVD, and LQ. LQ is a special type of QR decomposition used for solving linear equations, demonstrated in a Python program.
Amazon SageMaker MMEs allow dynamic compute allocation for models, saving costs and optimizing efficiency. DJLServing enables per-model scaling for traffic pattern agnostic MMEs.
Adobe Firefly, powered by NVIDIA, brings generative AI to creators. AI-enhanced Enhance Speech tool in Premiere Pro improves dialogue quality. Esteban Toro uses AI in Adobe apps to create emotionally moving Cinematic Portraits series, showcasing the power of NVIDIA RTX technology.
FBI and NCA dismantle cybercrime gang LockBit, targeting companies like Royal Mail and Boeing. Operation Cronos seizes hacking tools and arrests key members, disrupting group.
Meta's Code Llama foundation models, available on Amazon SageMaker JumpStart, offer state-of-the-art large language capabilities for generating code and natural language about code. The models come in three variants, with up to 70B parameters, designed to improve productivity for developers in various programming languages. SageMaker JumpStart provides access to a range of foundation models for...
An autoencoder predicts input data, flagging anomalies. Implemented in C#, it detected a liberal male from Nebraska with $53,000 income as most anomalous. Model trained with 9-6-9 architecture, revealing insights on neural network systems.
Google upstages itself with Gemini Ultra 1.0 and now Gemini Pro 1.5, claiming better quality with less compute. Gemini 1.5 boasts longest context window of any large-scale foundation model, challenging OpenAI's GPT-4 Turbo.
Article highlights: Anomaly detection categories include tabular, image, and time series data. K-means clustering and neural autoencoder techniques are commonly used for tabular data. One-over-n-hot encoding offers a unique solution for categorical data in k-means clustering, improving accuracy.
Amazon SageMaker Canvas enables domain experts to create powerful analytics and ML models without coding. It helps detect abnormal data points in industrial machines, crucial for predictive maintenance and performance improvements.
Learn how to create custom IPython Jupyter Magic commands to enhance your notebook experience. Use Hamilton library as an example for better development ergonomics. Explore the power of line and cell magics for dynamic notebook functionalities.
Article highlights the risks of AI development: privacy intrusion & consent issues, algorithmic bias. Companies face ethical dilemmas that can lead to reputational damage and loss of trust with users. Importance of prioritizing responsible AI development to mitigate these risks and build trust.