He stresses that competitive programming skills can enable anyone to participate in AI research, regardless of having a PhD. The flexibility of AI fosters a diverse, innovative ecosystem driven by curiosity.
EDUCATION
-
PhD Machine Learning to DeepMind Research Career Path
By
–
During his studies, Petar's interest in math, physics, and computer science guided him to earn a PhD in machine learning from Cambridge. Originally aiming to be a software engineer, he joined Deepmind after internships in AI sparked a love for research.
-
Generative AI for Everyone: New Comprehensive Course Available
By
–
My new course, Generative AI for Everyone, is now available!
— Andrew Ng (@AndrewYNg) 1 novembre 2023
Learn how Generative AI works, how to use it in professional or personal settings, and how it will affect jobs, businesses and society. This course is accessible to everyone, and assumes no prior coding or AI… pic.twitter.com/eFXOIkaNe7My new course, Generative AI for Everyone, is now available! Learn how Generative AI works, how to use it in professional or personal settings, and how it will affect jobs, businesses and society. This course is accessible to everyone, and assumes no prior coding or AI
-
Microsoft’s 12-Lesson Generative AI Course for Beginners
By
–
Microsoft Tech Community : Generative AI for Beginners – A 12-Lesson Course – Microsoft Community Hub @Microsoft v/ @lee_stott Ht @theomitsa #GenAI #chatgpt #llm #gpt4 #OenAI #microsoft #promptengineering #GenerativeAI #LLAMA #ai #gpt4 #chatgpt #stats #statistics
-
Stanford Researchers Design AI Tools for Educators Preserving Student Relationships
By
–
From math tutor to teacher’s aid, Stanford education researchers are designing expert-in-the-loop NLP tools that give educators new insights while preserving student-teacher relationships.
-
What’s AI: Simplified AI Education on YouTube and Podcast
By
–
Want AI simplified? Dive in with 'What's AI' on YouTube/podcast. Follow now for AI, demystified! 🙂
-
Building Successful AI Careers: PhDs, Projects, and Insights
By
–
PhDs matter, but unique projects and quality insights make you stand out. Building a successful AI career needs proactive learning and effective use of resources. Watch the insightful interview here: https://
youtu.be/KdyAE1vhLmY -
AI Competition Success: Skills, Preparedness, Career Opportunities
By
–
Aleksa's success illustrates the importance of preparedness, competition and critical thinking. His experience shows engaging in AI contests, continual skill enhancement, and aiming for practical outcomes lead to AI opportunities.
-
Aleksa’s ML Journey: From Electronics to AI Epiphany
By
–
Aleksa's transition from digital electronics to Machine Learning demonstrates continuous learning and practical projects. Notably, his YouTube channel "AI Epiphany" reflects his vision for beneficial AI advancements.
-
AGI as Statistical Knowledge Compression: Healthcare, Education, Work
By
–
We need to hammer this home: the soon-to-become AGI of many is mere statistical knowledge compression. It’s great, it can help solving millions of problems in healthcare, in education, it can make the jobs of everybody more creativity-oriented.