Learn how to turn old appliances into smart, Wi-Fi-enabled devices with ESP8266 and ESPHome. DIY automation made simple for your home.
Traditional machine learning methods like Support Vector Machines, Random Forest, and gradient boosting have shown strong performance in classifying device behaviors and detecting botnet activity.
Pasquale DeMaio, vice-president of Amazon Connect, delivers his keynote presentation during AWS Cloud Day Philippines held at Shangri-La The Fort, Manila on Aug. 19. Amazon Web Services (AWS) is ...
From reproductive rights to climate change to Big Tech, The Independent is on the ground when the story is developing. Whether it's investigating the financials of Elon Musk's pro-Trump PAC or ...
Heritage Petroleum, the largest oil producer in the Caribbean, used Cogent DataHub software in a recent project to modernize ...
In this episode of New Zealand Channel Voices, Reseller News speaks with Rana Stephan, winner of the 2024 Women in ICT Achievement Award, about her 30-year journey in the technology sector and the key ...
Abstract: The Smart Automated Zebra Crossing System operationalizes Passive Infrared (PIR) sensors and Internet of Things (IoT) technology with IP camera-based headcount capabilities to foster ...
Welcome to Electronic Design's destination for test and measurement technology trends, products, industry news, new applications, articles and commentary from our contributing technical experts and ...
Abstract: In this paper, we propose NeuS-PIR, a novel approach for learning relightable neural surfaces using pre-integrated rendering from multiview image observations. Unlike traditional methods ...
Cybersecurity company ESET has disclosed that it discovered an artificial intelligence (AI)-powered ransomware variant codenamed PromptLock. Written in Golang, the newly identified strain uses the gpt ...
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