Monthly Archives: May, 2023

Samsung, a leader in tech, has imposed a ban on their employees using generative AI tools like ChatGPT, Google Bard, and Bing due to data security risks. This is to protect sensitive information and safety of their users as the industry discusses the "profound risks" of AI. This decision sets a precedent amongst other tech giants.

Explore creativity with ChatGPT through the collaborative project "Manifesto", 7 novelists -Kim, Oh, Shin, Chae Kang D., Nappelganger, Yoon, and Park- detail their experiences working with the chatbot; the success and the hardships they encountered. Park's work, 'The Empty City', portrays a world and how ChatGPT surprised her describing a girl in a white dress with her hair like a flower. Not all experiences were good, as Oh uncovered its cliched messages. Now translated into English with AI DeepL translator, the anthology is for sale at an online bookstore in South Korea - Yes24 - and its cover art was designed by artificil intelligence. Join the future in understanding the use of AI!

Experience the power of Windows 11! Microsoft has recently made bids to reduce push notifications in the form of its 'smart opt-out' feature. Users can now choose to disable notifications from preloaded apps that they haven't used in a while, giving them complete control over their user experience. Microsoft's Azure and Dynamics services are also pushing the boundaries of AI and cloud computing technology. With Bill Gates at the helm, Microsoft is well on its way to providing the best software and services on the market.

This article explores how machine learning is being used to tackle global poverty and reduce the poverty rate which has increased in 2020 due to the COVID-19 pandemic. By utilizing data like CDR, asset-based indexes and consumption metrics, machine learning algorithms offer a precise and cost-effective approach to accurately identify and evaluate poverty. We also explore the pros and cons of this method and its potential to help low and middle-income families.

Auditory neuroscientists from the University of Pittsburgh have developed a machine learning model to better understand how the brain processes and recognizes communication sounds. This research has implications for understanding and treating speech-based disorders, as well as improving hearing aids. The team's findings illustrate the importance of subtle features for recognition and could lead to better treatment for neurological conditions.