Techstrong.ai
Occasionally, a new technology emerges that goes beyond just being a tool and fundamentally changes society. We believe that AI is one of those groundbreaking technologies—potentially the most significant advancement since the internet. AI is set to transform various industries one by one. That's why Techstrong.ai aims to track the progress of AI as it swiftly alters many existing models.
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Articles
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3 days ago |
techstrong.ai | Jon Swartz
In what legal experts are calling the first copyright ruling favoring the artificial intelligence (AI) industry, a federal judge on Tuesday sided with Anthropic in a closely-watched case. U.S. District Judge William Alsup of Northern California ruled Anthropic’s use of legally purchased books to train Claude, its AI model, did not violate federal copyright law.
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4 days ago |
techstrong.ai | Jon Swartz
LAS VEGAS — Hewlett Packard Enterprise Co. on Tuesday said it will “supercharge the creation, adoption and management of AI factories” with the help of NVIDIA Corp. Under the accord, announced at the Discover conference here, HPE is expanding its NVIDIA AI Computing by HPE portfolio of AI factory solutions with NVIDIA Blackwell GPUs, including new composable solutions optimized for service providers, model builders and sovereign entities, as well as the next generation of HPE Private Cloud AI.
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4 days ago |
techstrong.ai | Alan Shimel
The collective weight of industry leaders that are now backing an Agent2Agent (A2A) project now led by The Linux Foundation might prove to be the most significant agentic artificial intelligence (AI) of 2025.
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1 week ago |
techstrong.ai | Jon Swartz
SoftBank founder Masayoshi Son’s grandest artificial intelligence (AI) plan yet, a $1 trillion AI/robotics high-tech industrial hub in Arizona christened Project Crystal Land, would turn the Southwest region into a AI manufacturing center rivaling Shenzhen.
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1 week ago |
techstrong.ai | Fredrik Forslund
Data retention has always been an important component of data management processes and the data lifecycle, from data creation and collection to archiving and data sanitization. Data retention policies vary significantly from industry to industry due to regulatory compliance, legal requirements, industry standards and business needs.
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