Artificial Intelligence Tech Solutions Inc (OTCMKTS: AITX) through its subsidiary, Robotic Assistance Devices, Inc. (RAD), is redefining the $25 billion (US) security and guarding services industry through its broad lineup of innovative, AI-driven Solutions-as-a-Service business model. RAD solutions are specifically designed to provide a cost savings to businesses of between 35%-80% when compared to the industry's existing and costly manned security guarding and monitoring model. RAD delivers this tremendous costs savings via a suite of stationary and mobile robotic solutions that complement, and at times, directly replace the need for human personnel in environments better suited for machines. All RAD technologies, AI-based analytics and software platforms are developed in-house. RAD has a sales pipeline of over 35 Fortune 500 companies and numerous other client opportunities.

The stock of ARTIFICIAL INTELLIGENCE TECHNOLOGY SOLUT (OTCMKTS:AITX) registered an increase of 316.67% in short interest.

Artificial intelligence stocks remain hot -- although perhaps not as hot as they were just a few weeks ago. A number of AI stocks have taken a big hit in the recent market sell-off. The use of artificial intelligence is only going to increase, providing strong growth opportunities for companies exposed to the trend. And the indiscriminate selling in tech, in particular, has left several AI stocks at more reasonable valuations. These five Artificial Intelligence stocks all look like potential opportunities to buy on the dip.

This new offering is available to service providers such as security integrators, telecoms and alarm and monitoring companies for reselling to their customers. IvedaAI includes a powerful self-contained server with artificial intelligence (AI) software, capable of searching a combination of objects from dozens to thousands of cameras in less than one second. Video analytics have been around for many years, but adoption has been slow because of inaccuracies and high cost. IvedaAI employs 30 patents in AI, big data analytics and cloud computing. It applies a deep learning algorithm (trained, not programmed), automates processes and uses natural language.