“AI is for everyone”
This statement was made by a professor at Georgia Tech’s college of engineering which provides students with advanced theory, training and hands-on experience with state-of-the-art AI technology.
Start now.
While the above statement was expressed by an expert in machine learning, data management, large language models and natural language processing, I knew it to be absolutely true. I have no doubt that AI will be used by everyone and applied across virtually every aspect of life in the years to come. After listening to many AI Podcast episodes, the truth of that statement is impossible to refute.
Recently, I enjoyed a 24 kilometre skate on my SRB XRS06 Nordic Cross Skates along County Road 24 running west from Bobcageon. I listened to three excellent AI Podcast episodes over the 90 minute skating duration. They are listed below.
As a former IT Recruiter, I am very interested in how digital technology in general, and AI technology specifically, are changing our world. In random meetings, I often encourage students to start using the emerging AI tools ASAP to prepare them for the jobs of the future.
Why is this important?
I know of one 15 year-old girl who wants to practice law some day. That profession will likely look very different when she is 25 and seeking work within the legal profession. Hopefully her training and personal initiative will provide her with the level of AI skills and knowledge which will surely be expected by employers of the best young lawyers in 2034.
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The AI Podcast with host Noah Kravitz is one of my favourites.
Noah interviews many guests who are experts in various technical domains and applied uses of AI. His guests will inspire students to become aware of the unlimited opportunities that will be available in the future if they get ahead of the competition. “The early bird gets the worm” applies to job applicants of the future - the ones who get an early start in this technological revolution.
Three AI Podcast episodes.
The summary of each podcast topic I listed to is presented below (copied from each link).
CANCER
Meet PAIGE cofounder Thomas Fuchs.
Improved cancer diagnostics — and improved patient outcomes — could be among the changes generative AI will bring to the healthcare industry, thanks to Paige, the first company with an FDA-approved tool for cancer diagnosis. In this episode of NVIDIA’s AI Podcast, host Noah Kravitz speaks with Paige cofounder and Chief Scientific Officer Thomas Fuchs. He’s also dean of artificial intelligence and human health at the Icahn School of Medicine at Mount Sinai. Tune in to hear Fuchs on machine learning and AI applications and how technology brings better precision and care to the medical industry.
LEARNING
https://blogs.nvidia.com/blog/georgia-tech-ai-makerspace-supercomputer/
AI is set to transform the workforce — and the Georgia Institute of Technology’s new AI Makerspace is helping tens of thousands of students get ahead of the curve. In this episode of NVIDIA’s AI Podcast, host Noah Kravitz speaks with Arijit Raychowdhury, a professor and Steve W. Cedex school chair of electrical engineering at Georgia Tech’s college of engineering, about the supercomputer hub, which provides students with the computing resources to reinforce their coursework and gain hands-on experience with AI. Built in collaboration with NVIDIA, the AI Makerspace underscores Georgia Tech’s commitment to preparing students for an AI-driven future, while fostering collaboration with local schools and universities.
USER INTERFACE
https://blogs.nvidia.com/blog/roblox-anupam-singh/
Roblox is a colorful online platform that aims to reimagine the way that people come together — now that vision is being augmented by generative AI. In this episode of NVIDIA’s AI Podcast, host Noah Kravitz speaks with Anupam Singh, vice president of AI and growth engineering at Roblox, on how the company is using the technology to enhance virtual experiences with features such as automated chat filters and real-time text translation, which help build inclusivity and user safety. Singh also discusses how generative AI can be used to power coding assistants that help creators focus more on creative expression, rather than spending time manually scripting world-building features.