An AI version of Stephen Fry's voice will give a talk at Hay Festival, showcasing the wonders and pitfalls of AI. Visitors can record their voice with Fry's "vocal double" in a soundproof booth, with an unexpected twist in the experience.
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.
Data and Machine Learning used to predict NBA Champion; reframing task as regression problem to predict Champion Share. Model highlights degrees of success in playoffs, offering surprising insights for 2024-25 Playoffs.
Specialist editors create crucial promos for blockbusters. AI-made movie trailer falls flat, deemed 'awful' by critics.
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.
Topic models like BERTopic and FASTopic classify customer texts to track satisfaction metrics. New bigram models provide more detailed insights for business decisions.
Recent advances in generative AI have led to the evolution of NL2SQL technology, simplifying database queries. AWS and Cisco teams developed a methodology for accurate and scalable NL2SQL solutions for enterprise data, addressing challenges like complex schemas and diverse queries.
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.
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.
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.
Cybersecurity leaders face tough questions on breach likelihood and cost. Only 15% use quantitative risk modeling, posing limitations.
Kernelized SVR, trained with PSO, tackles non-linear data using RBF. Epsilon-insensitive loss and PSO make for a challenging yet promising system.
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.
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.
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.