Tag: B Tech in Computer Science Engineering

TinyML model running on low-power microcontroller in wireless sensor network

The Rise of TinyML in Wireless Sensor Networks: Giving the ‘Nervous System’ a Brain

Wireless Sensor Networks (WSNs) are regularly described as the ‘apprehensive device’ of our physical world. For many years, they have served an essential, singular purpose: sensing the environment and transmitting raw information to a valuable area—the cloud—for processing. This ‘experience-and-send’ model built the inspiration for clever towns, precision agriculture, and industrial tracking. However, WSNs have […]

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Cyber forensic analyst investigating digital evidence

Cyber Forensics: The Digital Detective of the Modern World

We depend on digital strains everywhere nowadays. Every email, every on-line payment, even a short social media publish—somewhere, that record sticks around. Certainly, all this era makes existence easier, however it also opens the door for cybercriminals. That’s wherein cyber forensics comes in. Consider cyber forensics, or virtual forensics, because of the detective paintings of […]

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Future of work with artificial intelligence

How Human AI Collaboration Will Shape the Future of Work

According to a survey, 42% of people said they use artificial intelligence at work at least once a week. This shows that artificial intelligence is becoming more and more important in the workplace. Artificial intelligence can help companies work efficiently and get more done. However, there are also some problems with using intelligence. For example, […]

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Neuromorphic computing architecture inspired by the human brain using spiking neural networks

Neuromorphic Computing: Engineering Intelligence Inspired by the Brain

In traditional computations, the information is processed in different ways than a human can do. Some conventional systems work on separate memory and the processing units. These conventional systems work in clock-driven and sequential manner. The brain can perform event-driven computation using the networks of neurons and synapses. Some of the best computer engineering colleges […]

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Data Centric AI vs Model-Centric AI comparison

Data-Centric AI: Improving Models by Improving Data

For a long time, the AI community felt like a group of gear heads trying to build a faster car while completely ignoring the fact that they were pumping muddy swamp water into the fuel tank. We’ve spent the last decade obsessed with the “engine”—the models. We wanted more parameters, deeper layers, and flashier architectures. […]

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