Monthly Archives: May, 2023
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AI Technology Enhancing Development in Honkai: Star Rail
Explore the newest entry in the classic Honkai series, Honkai: Star Rail, developed with the latest AI technologies. With improved facial features and natural character behavior, MiHoYo has increased the gaming experience. Crossover speculation with other titles such as Genshin Impact remain unconfirmed, but Honkai: Star Rail will be available soon on PlayStation. MiHoYo, established in 2013, is known for producing successful video game titles and employing over 500 staff.
AI Technology Falsely Identifies Detroit Man, Leading to 30 Hours in Jail
This article looks at the shocking story of Robert Williams who was wrongfully arrested due to a facial recognition technology mistake. We discuss the potential bias in this technology, increasing occurrences of wrongfully arrested individuals, the proposed legislation and what actions Robert is taking. It highlights the importance of ethical technology use and the implications of ethical business practices.
Chegg Stock Plummeting After AI-Technology Impacts Outlook
Chegg Inc. stocks dropped drastically on Monday after CEO Dan Rosensweig announced that expenses due to their current use of OpenAI's CHATGPT chatbot. An AIML division will soon be launched to increase AI use; leading to an improved educational service for users. However, the current quarter will mean a 28-30% operating margin, and $175-$178 expected revenue.
Mind Reading AI: Ethical Implications of Recent US Technology Advancement
Scientists have achieved a remarkable breakthrough in AI by creating a program that can decode our brain waves and read our thoughts. While the implications for helping those lacking or partially lost the ability to communicate are clear, there are also ethical and privacy questions over this development. Learn more about this fascinating advancement and its potential consequences.
Using Machine Learning and Polarimetric Scattering Features to Monitor Soil Salinity Using PALSAR-2 Data
This article outlines the use of machine learning and PALSAR-2 data to monitor changes in soil salinity. To ensure successful land management and conservation, a reliable, accurate method of detecting changing salinity was investigated. The study looked at the effects of polarization of backscattering from soil surface and used a Random Forest algorithm to extract useful information. Our results will help develop effective strategies for monitoring and managing of soil salinity and other land-use changes.