Artificial Intelligence Technologies: An Open-Source Future

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Artificial Intelligence is among the best upcoming trends in tech that’s changing everything in the world. From healthcare to customer experience, agriculture and manufacturing, we’re witnessing exponential growth in AI development and funding. In fact, the investment for AI developers in the UK coming from venture capital grew by over 200% last year. That’s no surprise considering the huge number of AI startups launched.

According to a Stanford University study, the number of AI startups in the world has multiplied by 14 times over the last 20 years. Similarly, we’re witnessing a significant number of companies that invest in the development of artificial intelligence. Those companies are taking us one step forward for the future, just like how the pa lottery bonus code can take you.

The move to open-source their AI research is enabling developers all over the world to create and improve machine learning & AI algorithms faster. For that, open-source software is now a fundamental part to enable fast, reliable and secure development in artificial intelligence industry. As such, businesses of all sizes and startups are continuing to embrace open-source AI.

Why Open-Source?

One of the earliest open-source projects was launched by Netscape, launching their open-source browser by 1998. The project aimed to emphasize the potential of software source code sharing. That inspired many more open source projects in different industries, with open-source software playing a significant role in innovation and IT development.

But Does Open-Source Enhance Innovation?

Open source is a simple method embraced by scientists for over a decade. After all, if every researcher kept his/ her methods secret, innovation and progress would happen at a much slower rate. Likewise, open-source Ai facilitates growth in different industries, as developers race to unveil the next big thing in AI.

Unfortunately, Machine Learning and AI models are quite expensive to develop, requiring a large amount of data to create and train algorithms. The growth in the skills gap is also posing a challenge to organizations, though many enterprises are highly invested in AI development. According to a recent study, over 93% of organizations are considering artificial intelligence as a key priority. However, over half of these businesses don’t feel like they’ve got the right skills for building successful AI-based technologies.

With an Open Source software, it experts can access frameworks, workflows, data sets, and software models available to the public. That reduces training costs and gives the developers the tools they need to harness the expertise of their peers and learn on the job. The Open source community also delivers an extra security layer by monitoring the software code continuously looking for vulnerabilities and flaws.

AI’s Openness and Trustworthy

Open source allows the developer and his team to create technologies quickly and cheaply as well as securely and flexibly. That helps to accelerate the adoption of different software solutions and frameworks through support from different community contributors.

Over the last few years, there has been growth in the number of companies supporting open source programs and making ML & AI frameworks accessible to the public. For instance, Google plays an active role in AI development using open source. Even better, they opened the research of their machine learning framework known as Tensorflow in 2015.

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