“AI cannot replace teachers but it is possible that it will reshape the way teachers teach and students learn.” While […]

AI and automation are boosting business productivity and improving our lives. But the technology’s widespread adoption is causing concerns about the displacement of several jobs. This blog details why bridging the AI Talent Gap is important in today’s dynamic work environment.

Many businesses employ AI for marketing solutions to improve their operational efficiency while increasing consumer engagement. This article details how marketing teams can utilize AI for better operations.

Every company today must progress in the AI industry because every other company offers a product that provides support to users. Samsung is also one such company that makes extensive use of AI to offer customers cutting-edge products. This article details how some Samsung products use AI.

The article is an interview conducted with Isu Shrestha, a Machine Learning Engineer at Fusemachines, about his experience as an AI Fellowship Alumni.

Have you ever wondered how Google’s search engine is able to generate swift responses to your search queries? This article details how RankBrain, a Deep Learning Google algorithm, is able to crawl through millions of contents on the web to provide users with the best search queries.

Quantum Computing is the next step to Artificial Intelligence. This article details what Quantum Computing is, detailed descriptions about Quantum AI, and how it can help AI progress from ANI (Artificial Narrow Intelligence) to AGI (Artificial General Intelligence).

Although both Machine Learning and Big Data deal with large volumes of both raw and filtered datasets, they are different in the way they handle the datasets. The article details the key differences between ML and Big Data.

There are many ethical considerations related to emerging technology. The scale and application of AI also bring with it unique and unprecedented challenges. The article details some of the ethical concerns with AI.

The great impacts of AI aren’t without challenges. When designing, producing, and deploying AI models, data scientists, engineers, domain experts, and delivery managers should make ethics a priority. The article details ethics of AI and why it is important.