As Large Language Models (LLMs) like OpenAI’s GPT series and Meta’s LLaMA continue to revolutionize industries, there’s been a growing push to enhance their capabilities through Retrieval-Augmented Generation (RAG). RAG systems allow LLMs to access external databases or knowledge sources in real-time, effectively bridging knowledge gaps and improving performance in specialized domains. However, new research,…

In a major move set to redefine the cybersecurity and AI landscape, Cisco has officially released an open-source AI reasoning engine, designed specifically for cybersecurity use cases. Announced during the RSA Conference 2025 and reported originally by Security Boulevard, Cisco’s new offering aims to bridge a critical gap between large language models’ (LLMs) generalized intelligence…

In the fast-paced ecosystem of startups, operational excellence is not just a luxury—it’s a necessity for survival and success. This has given rise to what many now consider a cornerstone of high-growth startups: the Founder’s Office. Initially obscure to many entrepreneurs, the Founder’s Office model has gained immense traction, offering strategic heft to founding teams…

Artificial intelligence (AI) continues reshaping the technological landscape, with innovation being its primary driving force. One of the most critical yet underexplored catalysts behind rapid AI advancement is motivation. Recently, this was exemplified by DeepSeek’s meteoric rise. Often overshadowed by technological bravado, motivational forces like ambition, perseverance, and adaptive learning strategies have proven pivotal to…

The global artificial intelligence (AI) market has entered a remarkable boom phase, driving a sharp surge in both market valuations and investor interest. Riding the crest of this wave is an unexpected frontrunner, Virtual (VIR), which recently recorded an 83% weekly surge according to AMB Crypto. As the AI industry accelerates, boosted by unparalleled advancements…

The landscape of artificial intelligence is undergoing a seismic shift with Liquid AI’s latest innovation: the Hyena architecture that powers models capable of running efficiently even on smartphones. Traditionally, large language models (LLMs) such as OpenAI’s GPT-4 or Google DeepMind’s Gemini have required substantial computational resources, often relying on expensive GPUs and massive cloud infrastructures….