As AI adoption grows, choosing between broad horizontal tools and niche vertical systems becomes a strategic decision. Horizontal AI refers to general-purpose systems that can be applied across many domains and use cases. Their focus is on broad capabilities like language understanding, vision, and automation rather than any single industry. Horizontal AI is able to… Continue reading Horizontal AI
What is Vertical AI? In a hyper-competitive world, individuals and organizations are racing to adopt AI to boost efficiency and productivity. While everyday users often rely on flexible, general-purpose “horizontal” AI tools, the deepest value for enterprises lies in specialized “vertical” AI systems tailored to specific domains. Vertical AI systems are built from the ground… Continue reading Vertical AI
Imagine a system that can spot people, cars, or street signs in a single glance. That is what the You Only Look Once (YOLO) algorithm brought to computer vision. The fast, real-time object detection in one pass. YOLO is a deep learning based object detection algorithm that adopts a “one-look” method and it processes the… Continue reading You Only Look Once Algorithm (YOLO)
What if an AI model could correctly label something it has never seen before? That is the promise of Zero Shot Learning (ZSL), which lets systems recognize new classes beyond their original training data by reasoning from descriptions instead of examples. ZSL moves away from the idea that every class needs labelled examples. Instead, it… Continue reading Zero Shot Learning
Generative AI is reshaping today’s workforce with Large Language Models (LLMs) bringing a structural shift in how modern day offices function. From drafting that perfect email to creating high end graphics, LLMs ensure customized output from massive data sets. According to NVIDIA, “Large language models (LLMs) are deep learning algorithms that can recognize, summarize, translate,… Continue reading Large Language Models (LLMs)
At a time when the world is increasingly adopting Artificial Intelligence (AI) tools in their day-to-day workings, phenomena like the Hallucination effect continue to thwart its rapid advances. Remember the time when you, as a child, could imagine faces in clouds and water reflection? Hallucination effect is somewhat similar in AI models, where the Large… Continue reading Hallucination Effect in AI
What happens when two of the most advanced technologies of our time- Quantum Computing and Artificial Intelligence-intersect? The result is Quantum AI, an emerging field that explores how quantum technology enhances AI capabilities. Quantum AI is the fusion of quantum tech into AI to solve the data bottleneck problem of classical AI. Under Quantum AI,… Continue reading Quantum AI
The application of Artificial Intelligence (AI) into Brain Computer Interface (AI) is an advanced technology that explores “human-AI symbiosis” with machine learning. While BCI technology has been around for a while, AI has now turned into its main engine, finding complex solutions in the fields of medical sciences, linguistics and speech/motor therapy. Brain Computer Interface… Continue reading Brain Computer Interface (BCI) in AI
Artificial Intelligence, even with its present-day capabilities, is still in its infancy- what researchers call Narrow AI. But what will be the pinnacle of AI? – the question has intrigued scientists, policy-makers as well as alarmists and Superintelligence holds a possible answer. Oxford Philosopher Nick Bostrom defines “Superintelligence” as a hypothetical AI agent that possesses… Continue reading Superintelligence
Although not an official term, MAID (Missiles, Artificial Intelligence and Drones) has become an “analytical shorthand” in military and academic circles, used to describe the convergence of three technologies and its impact in warfare. Over the years, there has been a noticeable increase in the confluence of advanced technology and military operations. Be it the… Continue reading MAID (Missiles, Artificial Intelligence and Drones)
