Summary
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When people talk about artificial intelligence, they usually focus on software, algorithms, and futuristic tools. But behind every AI model, every chatbot, and every autonomous system lies something far more grounded: physical infrastructure. From data centers to...
To Get Better at AI, Get Better at Finding AI TalentThe Defense Department’s recent efforts to raise its artificial intelligence game have revealed a few obstacles. There are no cohesive goals across the military branches, and...
Machine Learning: What is it and Why it MattersBecause of new computing technologies, machine learning today is not like machine learning of the past. It was born from pattern recognition and the theory that computers can learn...
American manufacturers—from steel and HVAC to cleanroom tech—are stepping up to build the data centers, semiconductor fabs, and energy infrastructure that are essential to powering today’s rapidly expanding AI revolution.
The rise of AI and other advanced technologies has made it clearer than ever that many technical experts are hidden, under-identified, and underused. This article shines a light on the Department of Defense, a top employer of technical talent in the United States, and the current challenges they face with cultivating a corps skilled in AI.
Machine learning is a method of data analysis that automates analytical model building. It is a branch of artificial intelligence based on the idea that systems can learn from data, identify patterns and make decisions with minimal human intervention.
