The Fusemachines AI Fellowship isn’t just about getting into AI; it’s about personal growth. Through practical projects, intensive training, and mentorship from industry leaders, fellows gain the skills to thrive in AI’s evolving landscape. We’re delving into the journey of Pawan S. Sharma, showing how setbacks can lead to success within this esteemed fellowship.
The AI Fellowship LATAM Program is a training and education program lasting 6 months designed to create advanced career opportunities in AI. With a 100% scholarship, this program is led by leading faculty members from renowned US universities and industry experts. Graduates of the program gain a competitive edge in the job market and establish a strong foundation for their AI careers.
We are proud to announce the launch of the Fusemachines AI Fellowship Program 2023 for the seventh year running. Eligible […]
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.
