Technology

AI for Edge Devices: Unlocking the Power of TinyML In the realm of artificial intelligence (AI), a revolutionary shift is taking place, one that is bringing AI closer to the edge. TinyML, or Tiny Machine Learning, refers to the deployment of machine learning (ML) models directly on microcontrollers and edge devices. Previously limited by the

Energy-Efficient Deep Learning (Green AI) Artificial Intelligence has brought groundbreaking innovations, but behind these intelligent systems lies a growing challenge: energy consumption. The large deep learning models require huge computational power and thus they consume a lot of electricity and generate carbon emission. This fact has given birth to the concept of Green AI which

Neurosymbolic AI: Bridging Logic and Learning for Smarter Machines Artificial Intelligence has evolved rapidly in recent years. Machines now have the ability to identify faces, translate languages and even produce real art. Yet, despite these impressive capabilities, traditional deep learning systems still struggle with reasoning, understanding logic, and making decisions based on cause and effect.

AI for Audio Beyond Speech Artificial Intelligence has transformed how machines understand the world, not just through vision or language but also through sound. The audio aspect of AI is much more than speech, and while speech recognition systems such as Alexa and Siri have become household names, the world of AI has much more