By 2030, anomaly detection is set to witness massive growth. This surge is due to technological progression, enhanced data analytics, and increased cybersecurity needs. With industries undergoing digital transformation, the resulting data deluge, coupled with the proliferation of Internet-connected
Edge Impulse's innovative FOMO-AD technology is revolutionizing industrial AI by enhancing anomaly detection on the network's edge. This advancement is particularly crucial in an era where smart tech and automation are omnipresent. FOMO-AD leverages the power of both high-end NVIDIA GPUs
Edge Impulse has broken new ground in the field of AI with its innovative FOMO-AD technology, revolutionizing visual anomaly detection. This advancement signifies a significant paradigm shift for edge computing, particularly in industrial inspection processes. Through FOMO-AD, complex AI models
Introduction to Cognitive Computing Cognitive computing marks a pivotal advancement within the realm of Artificial Intelligence, emulating human cognitive abilities in a structured computational environment. It embodies a multifaceted approach that integrates sophisticated algorithms, data mining
Large language models (LLMs) have become increasingly prominent in the business world, challenging companies to make a critical strategic decision: adopt readily available public LLMs or invest in custom, in-house models. This pivotal choice reflects the broader narrative at the intersection of AI
Generative AI (genAI) stands at the forefront of a significant shift within software development, poised to amplify the capabilities of developers and reshape the software development lifecycle (SDLC). As genAI becomes more embedded within software engineering practices, it presents the potential
