We are proud to announce the launch of the Fusemachines AI Fellowship Program 2023 for the seventh year running. Eligible […]

AI capabilities are one of the best ways you can boost your career, and Fusemachines offers many courses that allow […]

“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.

AI tech, such as blockchain, self-driving cars, robots, 3D printing, and advanced genomics, among others, have ushered in a new industrial revolution. These ground-breaking and innovative AI trends will likely change organizations, reshape business models, and transform industries. The article details the top 22 AI trends in 2022.

Data plays a huge role in modern society, from healthcare and business to finance and economic progress. There is a high demand for data scientists and analysts in the market as well, with salaries above the national average. The article details key differences between a data analyst and a data scientist.

From financial services to law enforcement, Deep Learning methods are widely used in modern society. The article details what Deep Learning is, how it works and the key differences between Deep Learning and Machine Learning.

Artificial Intelligence and Machine Learning are often used interchangeably to describe intelligent systems or software, but they are not the same thing. The article details the key differences between AI and Machine Learning.

AI has numerous benefits in many economic sectors. AI-generated revenue in the majority of business functions sees a significant yearly increase. The article details the major business impacts of AI.

Nepal Television (NTV) covered the AI2Go Workshop- a first-of-its-kind program in Nepal. The report features a short interview with Dr. Sameer Maskey about the status of the Digitization Nepal Initiative and the role AI Shikshya plays in this campaign.

Artificial Intelligence is a big topic in innovation and business, with numerous specialists and industry investigators contending that AI or Machine Learning is the future. The article details what AI is, its subsets, and its applications.

While AI Engineering is a relatively new field, it is becoming more and more relevant in many economic sectors, especially in the industrial and manufacturing industries. The article details what an AI Engineer does, and the roles and responsibilities they carry out.

Increased computing power and complex datasets have prompted the formation of new AI models and algorithms. The development of AI machines will only go forward from there. When it comes to innovations, the sky’s the limit. The article details why AI Engineers are important and how it is a lucrative career field.

Most, if not all, AI jobs require an analytical thought process with a key characteristic being the ability to solve problems with cost-effective and efficient solutions. AI Engineers are capable of turning technological innovations into state-of-the-art programs. The article details the education prerequisites and technical skills required to become an AI Engineer.

With the increasing demand for qualified AI engineers, tech giants are competing to hire the best talents out there. Here are 5 must-have skills to becoming a skilled AI engineer.

AI is becoming the skill of the future which is why it is crucial for the younger generation to learn about AI and engage with it early on. Read this blog to grasp the basic concept of AI, its types, how it works and AI applications.

Artificial intelligence will transform the global economy, and AI jobs are and will continue to be in high demand. Read more on reasons why AI careers are future-proof.