As the name suggests, an AI computer is any computing machine that can do work in the field of artificial intelligence. Thanks to the rapid pace of technological developments, even modest consumer hardware can today be considered an “AI computer,” capable of running cutting-edge ai models.
This technology briefing covers the full lifecycle of dataset generation, AI model creation and deployment and inferencing on the edge. Emrah Gultekin, CEO of Chooch AI, presents case studies and a walkthrough of the AI platform.
As face authentication systems continue to improve, their use is becoming more and more widespread, from catching your next flight to the smartphone in your pocket. According to a report by the National Institute for Standards and Technology (NIST), the best face authentication algorithms now have an error rate of less than 0.2 percent, far better than human performance. However, face authentication technology on its own isn’t foolproof. In order to thwart malicious actors and bolster security, many organizations have taken to using face authentication with liveness detection. But what is liveness detection exactly, and how does liveness detection for facial authentication work?
From the ROI of AI to using AI for industrial safety, this wide ranging 9-minute Digital Executive podcast sheds light on why every organization must invest in AI. Brian Thomas CTO of Coruzant Technologies interviews Chooch AI’s Vice President of Strategy and Growth. Michael shares with Brian how he started his career as a technologist, moved into Wall Street as an investor, and is now back in technology working with AI technologies.
Learn more about computer vision and AI with this short list of top level computer vision and AI terminology. Don’t know what AI training is? An AI model? Object recognition? Find out from these quick computer vision definitions.
Data collection is the first step in the process of generating a dataset for use in machine learning and computer vision training. Performing good data collection is essential to success: the quality of an AI model can only be as good as the quality of the dataset it’s trained on.
Image recognition is one of the most popular and recognizable applications of artificial intelligence, machine learning, and computer vision. And now, highly accurate, real-time image recognition is available for developers via image recognition APIs. Some platforms offer APIs that can help organizations add image and video analysis capabilities, but what’s needed is a easy-to-implement image recognition API that offers powerful computer vision services – like Chooch AI.
What is an AI model exactly, and how do you train AI models? Why are all AI models not created equally? Better training, using the right mix of algorithms and frameworks, and even setting the right business requirements, that’s how we achieve the highest performance when developing and deploying an AI model for computer vision.
Mask compliance detection remains a critical issue for organizations on many levels. First, health security is a concern for individuals, companies, and governments.