Serendipitous meetings, scholarly collaborations, and an ethos of "encouraging junior faculty to think big" laid the ...
Two years ago, the entire world spent an estimated $800 million on data labeling: the painstaking process of annotating images and other information to train machine-learning and AI models. Now, the ...
Arkansas approved Entergy’s proposed 600 MW solar project to help power a $4 billion Google data center campus in West Memphis, Ark. Known as “Project Pyramid,” the Arkansas Public Service ...
In recent years, JupyterLab has rapidly become the tool of choice for data scientists, machine learning (ML) practitioners, and analysts worldwide. This powerful, web-based integrated development ...
Chemists have created a machine learning tool that can identify the chemical composition of dried salt solutions from an image with 99% accuracy. By using robotics to prepare thousands of samples and ...
Snowflake Inc. is leading off its Snowflake Summit 2025 user conference in San Francisco today by unveiling a series of new artificial intelligence capabilities intended to simplify the ways users ...
In today’s fast-changing data landscape, having a strong data system and advanced analytical tools is key to getting valuable insights and staying ahead of the competition. The data lakehouse ...
The data science and machine learning technology space is undergoing rapid changes, fueled primarily by the wave of generative AI and—just in the last year—agentic AI systems and the large language ...
Designs, develops, and deploys scalable ML models for real-world applications across industries like healthcare, fintech, and ...
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