In the evolving world of data architecture and analytics, Gopala Krishna Subraya Pai stands out as a thought leader whose ...

Dung Thuy Nguyen (Vanderbilt University), Ngoc N. Tran (Vanderbilt University), Taylor T. Johnson (Vanderbilt University), Kevin Leach (Vanderbilt University) PAPER PBP: Post-Training Backdoor ...

Unified namespace (UNS) architecture uses MQTT brokers and standardized data structures to enable real-time access across ...

I'll explore data-related challenges, the increasing importance of a robust data strategy and considerations for businesses ...

The competitive advantage in AI is no longer coming from better prompts or larger models. It is coming from better architecture.

Dr. James McCaffrey presents a complete end-to-end demonstration of linear regression with pseudo-inverse training implemented using JavaScript. Compared to other training techniques, such as ...

Investments in automation and additional tools for data analytics keep coming to packaging lines as plants become more connected. Machine learning and digital twin technology are increasing throughput ...

New research from Dell’Oro Group shows how AI is impacting the entire data center infrastructure stack, from record hyperscaler capex and surging AI accelerators to Ethernet ...

Machine learning is an essential component of artificial intelligence. Whether it’s powering recommendation engines, fraud detection systems, self-driving cars, generative AI, or any of the countless ...

Added to a rise in consumer expectations is also the fact that many enterprises remain constrained by legacy applications and fragmented data ecosystems.

Cybersecurity organizations are facing a widening gap between the speed of modern cyberattacks and the tools designed to prevent them. A new academic review finds that artificial intelligence (AI) is ...

Enterprise security faces a watershed as AI tools mature from passive analytics to autonomous operatives in both offense and defense. To date, traditional ...