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 ...
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Model steering is a more efficient way to train AI models
Training artificial intelligence models is costly. Researchers estimate that training costs for the largest frontier models ...
Both fields are in high demand, pay well, and lead to exciting, future-proof careers. If you're deciding between becoming a data scientist or an AI engineer, the choice often comes down to what ...
In 2025, enterprise data platforms support business operations by combining analytics, governance and orchestration in one system, increasingly with generative and agentic AI-enabled features to ...
Artificial intelligence (AI) is increasingly used to analyze medical images, materials data and scientific measurements, but ...
Renewal of National Science Foundation AI support will boldly extend research and workforce development efforts. The Gates-Dell Complex at UT Austin, home to the NSF AI Institute for Foundations of ...
Every SOC leader knows the feeling: drowning in alerts, blind to the real threat, stuck playing defense in a war waged at the speed of AI. Now CrowdStrike and NVIDIA are flipping the script. Armed ...
Key TakeawaysThe Materials Project is the most-cited resource for materials data and analysis tools in materials science.The ...
In this contributed article, Deddy Lavid, CTO of Presenso, offers 5 important questions to ask when considering machine learning managed services, specifically can new technology provide viable ...
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