Fusion Energy, Cancer Proteomics, and Massive-Scale Machine Vision — with Dr. Brett Tully

This week's guest is Dr. Brett Tully, who leverages his rich cross-domain experience to detail how data science is applied to the fields of nuclear fusion energy, cancer biology, and massive-scale aerial machine vision.

In today’s episode, Brett details for us:
• What nuclear fusion is, how harnessing fusion power commercial could be a pivotal moment in the history of humankind, and how data simulations may play a critical role in realizing it
• How the study of the healthy proteins versus the proteins present in someone with a particular cancer type is accelerating the availability and impact of personalized cancer treatment
• What it means to be a Director of A.I. Output Systems and how this role fits in with other A.I. activities in an organization, such as model research and development
• His favorite software tools for working with geospatial data
• His tricks for the effective management of a team of ML Engineers
• His take on the big A.I. opportunities of the coming years

Brett:
• Is the Director of A.I. Output Systems at Nearmap, a world-leading aerial imagery company that uses massive-scale machine vision to detect and annotate vast images of urban and rural areas with remarkable detail
• As the Head of Simulation at First Light Fusion, he developed state-of-the-art data simulations that could be a key stepping stone toward enabling commercial nuclear fusion reactors
• As the Group Leader of Software Engineering at a major research hospital, he worked to characterize the differences in the proteome — the complete catalog of proteins in your body — between cancer patients and healthy individuals
• As a PhD student at the University of Oxford, he simulated how the cerebrospinal fluid present in our brains flows in order to better understand neurological abnormalities

The SuperDataScience show's available on all major podcasting platforms, YouTube, and at SuperDataScience.com.

A.I. Robotics at Home

This week's guest is mad genius Dave Niewinski, who creates A.I.-powered robots for use at home (e.g., cold beer retriever, flame-throwing weed killer) and to teach people A.I. robotics via his popular YouTube channel.

In the episode, Dave covers:
• The specific robotics hardware and open-source software incorporated into his wildest and most well-known robots
• Where machine vision algorithms, particularly deep learning models, are critical for enabling robot functionality
• His tips for folks who’d like to get started in A.I. robotics themselves
• How his interest in robotics led him to founding his Dave's Armoury Ltd. consulting business, which allows him to automate and improve real-world industrial processes with robots
• What excites him most about the societal impact A.I. robotics will have in our lifetimes

Specific robots of Dave's that we detail on the show include ones that:
• Play the sandbag-tossing game "cornhole"
• Defend his machine shop from kids by spraying them with a hose
• Exterminate weeds by throwing flames
• Carve pumpkins for Halloween
• Solve Rubik's cubes
• Use Lego pieces to create 2D artwork
• Race kids at assembling 3D Lego unicorns
• Bring cold beer from the fridge to wherever you are in the house

Thanks to Graham McCormick for introducing me to Dave! I learned so much from him and had such a good time hanging with him "on air".

The SuperDataScience show's available on all major podcasting platforms, YouTube, and at SuperDataScience.com. You can check out the Dave's Armoury YouTube channel here!