ಎಲೆಕ್ಟ್ರಾನಿಕ್ ಡಿವೈಸ್ಗಳಲ್ಲಿ AI ಪರ್ಫಾರ್ಮೆನ್ಸ್ ಅಳೆಯಲು ಹೊಸ Digit AI-Q ಸ್ಕೋರಿಂಗ್ ಸಿಸ್ಟಮ್ ಪರಿಚಯ!
Artificial Intelligence (AI) has swiftly evolved from a futuristic concept to an integral part of our daily lives. This transformation is particularly significant in the realm of smartphones. From enhancing photography to enabling voice assistants and powering predictive text, AI capabilities are increasingly defining the user experience. Recognising the growing importance of AI in smartphones, we at Digit have developed the Digit AI-Q scoring system—a method for evaluating the AI performance of the devices.
This marks the first standardised measure of AI performance for consumer electronics in the publishing industry.
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Commenting on this technological breakthrough, Rohit Chadda, President & COO – Digital, Times Network said, “We acquired Digit as part of our strategic growth initiatives and are poised to drive it into its next phase of growth. AI-Q is truly a groundbreaking innovation of our time and sets a new benchmark showcasing Digit’s thought leadership in the Technology industry. With the rise of Generative AI and its integration into all kinds of devices, Digit empowers users to understand the true AI capabilities of their gadgets. Our stringent benchmarking process, involving 80 models and more than 180 aspects of AI performance, ensures a comprehensive evaluation of speed, accuracy, and initialization time.”
For those who are unaware, Digit was recently acquired by Times Network, bolstering its continued investment in its digital publishing business, which already reaches over 110 million monthly active users and garners more than 1 billion monthly video views.
Digit’s AI-Q (AI Quotient) is a proprietary scoring system that evaluates the AI capabilities of various devices, including smartphones, laptops, and televisions. The AI-Q score provides users with a clear understanding of the AI specifications in their gadgets, aiding them in making informed decisions.
The AI Quotient is derived from an extensive testing process that involves 80 AI and Computer Vision Tests conducted on the Neural Processing Unit (NPU) of devices. These tests cover various aspects such as Object Recognition/Classification, Semantic Segmentation, Parallel Object Recognition, Optical Character Recognition, Object Tracking, Image & Video Processing, Face Recognition, Camera Scene Detection, Natural Language Processing, and more.
The rigorous benchmarking process examines over 180 different aspects of AI performance, including speed, accuracy and initialization time, ensuring a comprehensive and holistic evaluation.
As part of our continuous effort to empower consumers with the latest information, we have also introduced Digit-AI-zed, a new segment on our website. This dedicated section will serve as a comprehensive source for all AI-related news and reviews, catering to both users and industry leaders seeking the latest advancements in AI technology.
