A Texas power developer is proposing to repurpose nuclear reactors from Navy warships to supply the US grid as the Trump administration pushes to secure massive amounts of energy for the artificial ...
MIAMI VALLEY — There are hundreds of data centers operating across Ohio. The facilities power the internet and Artificial Intelligence (AI). There are at least two more of them on the way to the ...
Databricks and Snowflake are at it again, and the battleground is now SQL-based document parsing. In an intensifying race to dominate enterprise AI workloads with agent-driven automation, Databricks ...
COWETA COUNTY, Ga. — Massive data centers proposed for metro Atlanta expect to use millions of gallons of water per day. Some of those data centers are planning to use more water than entire Georgia ...
As artificial intelligence drives the need for vastly more computing storage and processing power, interest in space-based data centers has spiked. Although several startup companies, such as ...
Pew Research Center conducted this study to understand Americans’ views of artificial intelligence (AI) and its potential impact on people and society. For this analysis, we surveyed 5,023 adults from ...
As the volume, velocity, and variety of data continue to accelerate, developers are facing a critical shift: data is no longer just stored and queried--it's constantly on the move. From traditional ...
Forbes contributors publish independent expert analyses and insights. Randy Bean is a noted Senior Advisor, Author, Speaker, Founder, & CEO. How does a venerable American brand known for creating the ...
It’s the most transparent estimate yet from one of the big AI companies, and a long-awaited peek behind the curtain for researchers. Google has just released a technical report detailing how much ...
Apurva Wadodkar, Sr. Director Data & AI at TI Automotive, is a data science leader driving strategic, people-first innovation at scale. It’s never easy when a small central team is tasked with moving ...
A new SQL Server 2025 feature lets organizations run vector-based semantic searches on their own data, connecting to local or cloud-hosted AI models without relying on massive general-purpose LLMs. I ...
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