Enhancing user experience and driving business metrics, advanced search technologies like semantic search are crucial for modern ecommerce success. Combining keyword search and semantic search, hybrid search delivers more accurate results, with Amazon OpenSearch Service being a recommended tool for seamless integration.
The State Bar of California to seek score adjustments for February bar exam due to AI-developed questions and platform crashes. Multiple-choice questions on the test were created with the help of artificial intelligence.
Topic models like BERTopic and FASTopic classify customer texts to track satisfaction metrics. New bigram models provide more detailed insights for business decisions.
NVIDIA NeMo microservices enable enterprise IT to build AI teammates that improve productivity by tapping into data flywheels. NeMo tools like Customizer and Evaluator help optimize AI models for accuracy and efficiency, enhancing compliance and security measures.
Publishers and writers back a new collective licence by UK licensing bodies, allowing authors to be compensated for AI model training. The Copyright Licensing Agency, led by the Publishers’ Licensing Services and the Authors’ Licensing and Collecting Society, will introduce this groundbreaking initiative in the summer.
A U.S. National Laboratory implements AI platform on Amazon SageMaker to enhance accessibility of archival data through NER and LLM technologies. The cost-optimized system automates metadata enrichment, document classification, and summarization for improved document organization and retrieval.
The launch of DeepSeek-R1 rivals Meta and OpenAI, offering advanced reasoning capabilities at a fraction of the cost. Explore how to evaluate DeepSeek-R1's distilled models using recognized benchmarks like GPQA-Diamond.
RAG applications enhance AI tasks with contextually relevant info, but require careful security measures to protect sensitive data. AWS offers generative AI security strategies like Amazon Bedrock Knowledge Bases to safeguard privacy and create appropriate threat models.
MIT researchers have developed a machine-learning model that predicts chemical reaction transition states in less than a second, aiding in the design of sustainable processes to create useful compounds. The model could streamline the process of designing pharmaceuticals and fuels, making it easier for chemists to utilize abundant natural resources efficiently.
Cybersecurity leaders face tough questions on breach likelihood and cost. Only 15% use quantitative risk modeling, posing limitations.
MIT researchers developed a periodic table of machine learning algorithms, revealing connections and a unifying equation. The table allows for the creation of new AI models by combining elements from different methods.
Kernelized SVR, trained with PSO, tackles non-linear data using RBF. Epsilon-insensitive loss and PSO make for a challenging yet promising system.
Summary: Testing is crucial for identifying issues in car blinkers or software code. Unit, integration, and end-to-end tests play key roles in ensuring functionality and reliability.
AI data centers are transitioning to liquid cooling systems like the NVIDIA GB200 NVL72 and GB300 NVL72 to efficiently manage heat, energy costs, and achieve significant cost savings. Liquid cooling enables higher compute density, increased revenue potential, and up to 300x more water efficiency compared to traditional air-cooled architectures, revolutionizing the way data centers operate.
Amazon Bedrock Intelligent Prompt Routing now offers general availability, allowing for efficient routing between different foundation models based on cost and response quality. Users can choose default prompt routers or configure their own for more control over routing configurations, with options to select models from the Anthropic, Meta, and Nova families.