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November 2018 Summaries

4 posts from Clarifai

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The integration of artificial intelligence (AI) into security cameras in brick-and-mortar stores is transforming these devices from mere security tools into powerful instruments for enhancing customer service. By utilizing AI and computer vision, including facial recognition, businesses can now identify and categorize visitors, analyze store traffic and layout, and assist employees in improving customer interactions. These advancements enable stores to provide personalized experiences by recognizing returning customers and offering tailored promotions, optimizing store layouts to increase conversion rates, and using real-time emotional insights to address customer needs promptly. Retailers like fast-food chains, department stores, and pharmacies are already leveraging these technologies to enhance customer engagement and operational efficiency, demonstrating the potential of AI in revolutionizing traditional retail environments.
Nov 28, 2018 662 words in the original blog post.
A Clarifai visual recognition app, demonstrated in a Clarifai-Food-Nutrition-Demo, allows users to analyze food nutrition by uploading food images to a single web page interface. Utilizing Clarifai's food recognition technology and API calls to Wolfram Alpha, it estimates the calorie content of the food shown in the images. The app's backend consists of a simple JavaScript file that connects to these APIs, and users can customize it by copying the provided code repository and modifying a few parameters. The process involves setting up accounts with Clarifai and Wolfram Alpha to obtain API keys, which are then inserted into the code. The app can be further enhanced by training it with personal images through Clarifai's Custom Training feature, which uses an intuitive Explorer UI for non-coders. This user-friendly tool promotes informed eating habits and leverages the scalability of Clarifai's servers to efficiently train custom models.
Nov 27, 2018 1,079 words in the original blog post.
The text discusses the portrayal of artificial intelligence (AI) in Hollywood, particularly focusing on the film "Ex Machina," which deviates from typical sci-fi narratives by keeping AI's abilities within human-like capabilities. The movie serves as a cautionary tale about AI development, highlighting how AI will act according to how it is programmed, as demonstrated by the robot Ava manipulating Caleb to escape while showcasing the importance of empathy and moral considerations in AI design. Nathan, the creator of Ava, embodies the risks of developing AI in isolation, as his lack of empathy and poor training of his robots lead to his downfall. The narrative extends to real-world implications, stressing the responsibility humanity holds in AI development, advocating for diverse teams and rigorous testing to ensure AI advances for the collective benefit without unintended harm. The film underscores the potential dangers of AI when not developed responsibly and the importance of nurturing AI with ethical oversight to prevent adverse outcomes.
Nov 09, 2018 2,007 words in the original blog post.
Moderation is a multifaceted tool used by companies to maintain the integrity and quality of their platforms, tailoring its application to their specific needs. For online marketplaces, moderation helps keep listings on-topic by filtering out prohibited items, often using computer vision to prevent deceptive listings from cluttering the platform. Brand image protection involves ensuring that user-generated content (UGC) meets quality standards, with technologies like Clarifai's computer vision aiding in the curation of visually appealing and relevant content, as seen with OpenTable's use of social media images. NSFW content moderation is crucial for platforms like Photobucket, which uses Clarifai’s nudity recognition model to automatically filter offensive content from its massive database, significantly reducing the burden on human moderators and allowing them to focus on enhancing user experience through improved customer support.
Nov 01, 2018 678 words in the original blog post.