Using Neural Networks in Agriculture
Neural networks help growers to turn satellite images into clear, actionable maps for data-informed decisions on sustainable food production and environmental …
Looks at issues related to artificial intelligence technologies, including cognitive computing, deep learning, and machine learning. Considers also supervised and unsupervised learning and natural language processing.
Neural networks help growers to turn satellite images into clear, actionable maps for data-informed decisions on sustainable food production and environmental …
Evaluation metrics that examine language quality, LLM task-specific criteria for evaluating certain tasks, and human evaluations are the three broad categories …
A new AI Security Certification from HITRUST provides organizations with a robust framework to address AI-specific risks and demonstrate their security …
By prioritizing data literacy, investing in education, and continually reassessing the role of humans in an AI-driven world, companies can achieve a productive …
Based on the conference sessions and presentations at this year’s AI Summit, when it comes to AI, the future is
In this week's real-time analytics news: EQTY Lab, Intel, and NVIDIA announced the release of the Verifiable Compute AI framework, a hardware-based solution to …
Children's Hospital of Philadelphia introduced CelloType, an AI tool designed to enhance precision in spatial omics research by integrating cell segmentation …
In this week's real-time analytics news: MLCommons announced the public release of the MLPerf Client v0.5 benchmark for evaluating consumer AI
Graphs have been largely overlooked during the most recent artificial intelligence hype cycle, but they are the foundation of a number of business-critical use …
Without the proper data management tools and processes in place, enterprises struggle to figure out which genAI use cases to target because they don't know if …