New Relic's AI custom plugin for Amazon Q Business streamlines incident response and decision-making, reducing downtime and enhancing customer experience. It addresses key challenges like tool switching, knowledge accessibility, and data interpretation, empowering teams to prevent issues and maintain high-quality digital experiences.
Survey shows disconnect between educators and students/parents with IDD on AI in education. NVIDIA AI Podcast explores AI's potential in enhancing special education and disability inclusion with U.S. Special Advisor Sara Minkara and Special Olympics chairman Timothy Shriver.
Syngenta and AWS collaborated to develop Cropwise AI, powered by Amazon Bedrock Agents, to streamline seed selection for farmers and sales reps. Generative AI transforms the decision-making process, offering personalized recommendations at scale for a more efficient and precise selection process.
Amazon SageMaker announces updates to the inference optimization toolkit, including speculative decoding and FP8 quantization for faster generative AI model optimization. Integration with NVIDIA's TensorRT-LLM for enhanced performance and reduced deployment time, making it easier to achieve best-in-class results in hours.
ChatGPT developer admits mistake in flagging Name, causing social media buzz over the incident with David Mayer.
Amazon Q Business, a generative AI assistant, integrates with QuickSight for a unified conversational experience across structured and unstructured data sources. The integration allows for real-time data and visualizations from QuickSight, enhancing the accuracy and simplicity of answers provided by Amazon Q Business.
Google's London office exudes a startup vibe, as managing director Debbie Weinstein explores AI's commercial potential amid US antitrust issues.
AdaBoost regression combines weak learners like decision tree, k-NN, and linear regression. Results show neural network as the best performer in prediction accuracy.
MIT scientists develop photonic chip for deep neural network computations, achieving high speed and accuracy. The chip could revolutionize deep learning for applications like lidar and high-speed telecommunications.
Learn how to use network science and Python to map out the connections between characters in the popular show Arcane from League of Legends universe on Netflix. By scraping character data and visualizing the network, you can apply these skills to any complex system beyond just the Arcane series.
Generate synthetic data for machine learning regression using a neural network with specified parameters. Simplify complex data generation with a customizable function in C#.
Amazon SageMaker Fast Model Loader reduces LLM deployment time by 15x by streaming model weights from Amazon S3. This innovation transforms LLM deployment, offering faster loading times for more efficient AI applications.
AI agents are dynamic entities revolutionizing network deployment, configuration, and monitoring in 2024. They adapt, reason, and act autonomously, enhancing decision-making and real-time responsiveness.
Chronos-Bolt in AutoGluon-TimeSeries offers faster zero-shot forecasting than traditional models, outperforming statistical and deep learning baselines. Based on T5 architecture, it's 250x faster and 20x more memory-efficient than original Chronos models, delivering accurate predictions.
Cohere releases Rerank 3.5 via Rerank API on Amazon Bedrock, enhancing search relevance and content ranking capabilities for AWS customers. Reranking technology improves search results by analyzing semantic meaning, user intent, and business rules, benefiting ecommerce platforms and global organizations across various sectors.