Qualcomm is getting serious about Artificial Intelligence. On Wednesday, the firm claimed that it will be pursuing a startup fund that will, at the minimum, invest $100 million in early stage ventures working on AI. To be precise, the fund will observe firms discovering paths to do severe data processing on tools such as security cameras and smartphones rather than remote cloud systems.

“If you look at the smartphone today, this is one of the biggest AI platforms”

said the head of Qualcomm Start up, Quinn Li, claimed in a statement. “We want to make edge AI a ubiquitous platform.”

Qualcomm is simply the new firm to invest greatly in artificial intelligence. Firms like Google have been focusing on the tech for long, and in June, Samsung, smartphone titan claimed that its Samsung NEXT business based in Silicon Valley had released a grant to invest in the beginning-stage ventures, which are dedicated to “solving AI problems, as well as those using AI to solve computer science problems.”

Artificial intelligence has the ability to alter the way people live and the technology is used. People carrying latest handset utilizes AI through Google’s Assistant or Apple’s Siri. For now, Amazon’s Alexa is now famous for speakers and more intelligent home tools. Last year, Samsung bounced into the market with its digital assistant – Bixby – for controlling TV, refrigerator or Galaxy smartphone.

Qualcomm, largest manufacturer of chips for mobile devices globally, wishes to get deep understandings of the future of AI and what is required from its processors. In the semiconductor industry, the firm and many others have been concentrating on latest AI that can quickly process information and give the results to the clients.

On Wednesday, Qualcomm revealed an investment in AnyVision, a venture that created facial and body recognition tech “that is both highly accurate and mitigates privacy concerns through the use of on-device AI.”

AnyVision has “a unique approach to AI, particularly around facial recognition,” Li claimed. Its tech does great in “real-life scenarios where you may not have the perfect shots of faces.”