October 22, 2023
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Trends
How Does AI ‘Think’? We Are Only Starting to Understand That
The Wall Street Journal, 10/22/23. The prompt “div” provides little information to construct a coherent essay. However, “div” is short for “division” and can be used in various contexts, such as web development or mathematical operations. Without further context or details, it is impossible to write a meaningful 75-word essay based on this prompt alone. Additional information or a specific topic is required to provide a relevant and insightful response. READ THE ARTICLE
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Adoption
The numbers behind how Gen Z is really using AI
DigiDay, 10/22/23. The article titled “The Numbers Behind How Gen Z is Really Using AI” explores how Generation Z professionals are utilizing artificial intelligence (AI) in the workplace. The article highlights that while there is excitement among young workers about integrating AI capabilities into their roles, there are also concerns about the potential job displacement caused by this technology. The article also emphasizes the importance of AI-powered coaching and online learning platforms in supporting Gen Z professionals’ career growth. Overall, Gen Z is embracing AI but also mindful of its implications. READ THE ARTICLE
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Robotics
Robot Hands Can Match Humans’ Dexterity With New AI Smarts, Claims Nvidia
Decrypt, 10/22/23. Nvidia researchers have developed an AI agent called Eureka, which has significantly improved the dexterity of robots. Using generative AI and trial-and-error reinforcement learning, Eureka can teach robots complex skills such as pen-spinning tricks. The technique is more effective than human-authored programs and has been applied to various robots, including those with quadruped, dexterous hands, and cobot arms. Nvidia’s SteerLM is another AI system that leverages advances in language models to improve AI assistant alignment through practice conversations and user feedback. Both Eureka and SteerLM demonstrate Nvidia’s innovation in steering AI with language models, pushing the boundaries of hardware and software applications in robotics and AI. READ THE ARTICLE
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Models
Top AI Shops Fail Transparency Test
IEEE Spectrum, 10/22/23. The recent report by Stanford’s Center for Research on Foundation Models provides valuable insight into the transparency of major AI companies. The report graded 10 of the biggest AI models on 100 different metrics and revealed a lack of transparency in the industry. Meta’s Llama 2 received the highest total score of 54 out of 100. Transparency encompasses factors such as training data, model properties, distribution, and labor. While some models scored well in specific categories, there is still a need for greater transparency in areas such as data sources and labor practices. The index aims to inform policymakers and promote better transparency in the AI industry. READ THE ARTICLE
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Education
Artificial intelligence and academic integrity: striking a balance
Times Higher Education, 10/22/23. The current wave of generative artificial intelligence (AI) in higher education has sparked debate and raised important questions for educators. AI has the potential to revolutionize personalized learning experiences and increase accessibility in education. However, ethical concerns surrounding academic integrity need to be addressed. It is crucial to find a balance between using AI to enhance learning and preventing academic dishonesty. Educators should model responsible use of technology and explore ways in which AI can support and enrich the educational process. Students should also be educated on the capabilities and limits of AI to develop critical thinking skills and effective application. The appropriate use of AI tools should be defined to ensure that human interaction and in-depth education are preserved. Universities that embrace AI thoughtfully will thrive in this evolving educational landscape. READ THE ARTICLE