Texas A&M researchers received a grant from the U.S. Army Research Laboratory to address the limitations of applying artificial intelligence tools in military scenarios.
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What’s particularly exciting is not just that Gen AI can write code – it’s that it’s beginning to understand context, reduce time spent on boilerplate, and support developers where they work best: in the flow of creation.
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This article is a detailed analysis of In-Memory Compute technology, covering its architecture, use cases, recent advancements, and practical implementation strategies to enhance computational efficiency.
An interview with Adam White from Infineon on Powering the Next Generation of AI Data Centers.
Edge AI is the process of running artificial intelligence (AI) and machine learning (ML) algorithms on devices at the network’s edge (periphery), rather than on large cloud servers. In simple terms, edge AI is the fusion of devices and artificial intelligence.
10 minutes read
When we think of fleet management our thoughts tend to turn towards the major transport and logistics companies, and the enormous fleets of vehicles they must keep a track of across the supply chain.
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Curious about Data Warehouse, Data Lake, and Data Lakehouse? This article breaks down their key differences and how they impact decisions on managing big data. Learn how these solutions shape industries and drive smarter data strategies.
Weighing Latency, Privacy, and Scalability to Optimize Your AI Strategy
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