Geospatial datasets use dead reckoning to infer GPS locations between known points, impacting data quality and value. Telematics data from vehicles includes various signals like GPS location, speed, and more, with implications for data handling and analysis.
Nobel-winning economist Daron Acemoglu examines AI's impact on economic growth and productivity, estimating a modest increase of 1.1 to 1.6 percent in GDP over the next decade. Research shows about 20-23% of U.S. job tasks could be automated with AI, with potential cost savings of 27%.
Automating scientific code documentation with GPT for streamlined workflows. Goal: Transition from code to comprehensive documents efficiently and consistently.
Learn to chat with images using Llama 3.2-Vision, a cutting-edge multimodal LLM by Meta. Explore its OCR and reasoning skills on Colab notebook for local execution.
Organizations are leveraging Amazon SageMaker HyperPod training plans to access accelerated compute resources for customizing large language models, improving model efficacy across various sectors. This solution addresses the challenge of securing reliable compute capacity for model training, offering scalable and cost-effective options for organizations seeking to harness the power of LLMs wit...
AWS emphasizes responsible AI, boosting business value through trust and innovation. ISO/IEC 42001 certification and Amazon Bedrock Guardrails enhance transparency and safety in AI services.
AI system used by UK gov to detect welfare fraud shows bias based on age, disability, marital status, nationality. Internal assessment reveals certain groups are more likely to be investigated for fraud.
Build a general-purpose LLM agent for diverse use cases. Choose the right model and define control logic for optimal performance and adaptability.
MIT made a significant impact at COP16 by showcasing biodiversity research and engaging in key discussions on global goals. The ESI's NCS Program supported Latin American city coalitions in advancing KMGBF targets through multi-scale actions and community-based conservation efforts.
MIT engineers have released DrivAerNet++, a dataset of 8,000 car designs for AI to improve car aerodynamics rapidly, cutting R&D costs. The dataset could lead to more fuel-efficient cars and longer-range electric vehicles, accelerating automotive innovation for a sustainable future.
Google DeepMind's AI program GenCast outperformed ECMWF's ENS forecast, predicting weather and hurricane paths 20% more accurately. GenCast offers faster, more precise day-to-day weather forecasts, a promising development for weather monitoring.
MIT researchers developed a technique called Score Distillation to create high-quality 3D shapes from 2D image generation models, improving realism without costly retraining. This breakthrough enhances the potential for AI to assist designers in creating lifelike 3D models, presented at the Conference on Neural Information Processing Systems.
Amazon Bedrock Model Distillation enables high accuracy with smaller, cost-efficient AI models by transferring knowledge from advanced models. This feature automates the process, providing efficiency, cost optimization, and advanced customization for various use cases.
Customer profiling is evolving with vector-based exemplar recommenders like Pinterest's Pinnersage engine, offering tailored user choices. These algorithms simplify recommendations by converting samples into vectors, improving user engagement.
Report warns AI boom will benefit tech giants, but creators face income loss without policy intervention. Music sector to lose 25% income, audiovisual sector over 20% as generative AI market grows to €64bn by 2028.