Foundation models, like Large Language Models (LLMs), are being adapted for time series modeling through Large Time Series Foundation Models (LTSM). By leveraging sequential data similarities, LTSM aims to learn from diverse time series data for tasks like outlier detection and classification, building on the success of LLMs in computational linguistic domains.
MIT CSAIL researchers found that large language models like GPT-4 struggle with unfamiliar tasks, revealing limited generalization abilities. The study highlights the importance of enhancing AI models' adaptability for broader applications.
TDS celebrates milestone with engaging articles on cutting-edge computer vision and object detection techniques. Highlights include object counting in videos, AI player tracking in ice hockey, and a crash course on autonomous driving planning.
LightGBM, a powerful tree-based system, offers binary classification and more. Demo program showcases Python API for predicting gender from age, income, and political leaning.
Amazon SageMaker Studio offers IDEs for ML development, including JupyterLab and RStudio, with AI-powered coding assistance. Geospatial data handling in SageMaker Studio is enhanced by extending SageMaker Distribution with custom container images for specialized workflows.
Amazon Bedrock offers customizable large language models from top AI companies, allowing enterprises to tailor responses to unique data. AWS Step Functions streamline model customization workflows, reducing development timelines for optimal results.
Explore GloVe word embeddings with EDA techniques like clustering and PCA. Uncover surprising biases and insights in the dataset.
Intuit CEO announces 10% layoffs, plans to hire same number for AI-focused restructuring, predicting industry transformation. Company prioritizes AI innovation to support customers and drive growth, expecting overall headcount growth by 2025.
AI-powered ultrasound technology in Uganda eliminates need for specialists, encourages early prenatal care, reducing stillbirths and complications. The software aims to make essential medical checkups accessible to pregnant women in need, revolutionizing prenatal care.
RAG enhances large language models with external data for better context. Fine-tuning embedding models in specific domains boosts RAG accuracy.
MIT researchers introduce new approach to improve uncertainty estimates in machine-learning models, providing more accurate and efficient results. The scalable technique, IF-COMP, helps users determine when to trust model predictions, especially in high-stakes scenarios like healthcare.
Japan's AIST upgrades ABCI 3.0 supercomputer with NVIDIA GPUs and HPE networking for advanced AI R&D, bolstering Japan's AI capabilities and technological independence. NVIDIA collaborates with Japan's METI on AI research and education, with CEO Jensen Huang pledging support for generative AI, robotics, and quantum computing to drive Japan's future innovation.
Satellite density in Earth's orbit is rising, with 2,877 satellites launched in 2023, leading to new global-scale technologies. MIT ARCLab Prize for AI Innovation in Space winners announced, focusing on characterizing satellites' behavior patterns with AI.
Fanvue's "Miss AI" pageant crowns fictional Instagram influencer Kenza Layli, sparking criticism for objectifying women in AI. Rise of AI-generated influencers fueled by tools like Stable Diffusion and Dreambooth raises ethical concerns.
AMD to acquire Finnish AI startup Silo AI for $665 million, aiming to boost AI services and compete with Nvidia. Silo's team will develop large language models, enhancing chatbots like OpenAI's ChatGPT and Google's Gemini.