Author: Swati Gupta

From BERT to BARD Recent advancements in artificial intelligence and natural language processing (NLP) have propelled the development of sophisticated language models. These models aim to understand and generate human-like text, revolutionising various applications and interactions with technology. One of the most prominent language models in this domain is Google’s Bidirectional Encoder Representations from Transformers (BERT). Building upon the success of BERT, Google introduced a more powerful language model called Bard. In this article, we will delve into what Google Bard is, how it works, and the potential implications it holds. The Need for Advanced Language Models The ability to…

In the quest to develop more efficient and powerful computing systems, scientists and engineers have turned to the human brain for inspiration. Neuromorphic computing, a field at the intersection of neuroscience and computer science, aims to replicate the structure and function of the brain in artificial intelligence systems. These brain inspired computer systems have the potential to revolutionize various industries, from robotics and machine learning to healthcare and beyond.  We will look into the concept of neuromorphic computing, its key components, applications, challenges, and its impact on society. Understanding Neuromorphic Computing Neuromorphic computing has its roots in the early 1980s,…