September 30, 2022
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25:05Now PlayingIf “data is the new oil,” then numerical algorithms are the engines. We are entering a period of rapid innovation in hardware and software for numerically intensive analytics and prediction. But is this a transient moment to compensate for decades of stagnation in vector computing? Or is this the dawn of a new era where numerical algorithms become pervasive, from supercomputers down to edge sensors? And will the landscape of intellectual property remain open, or will we again see the rise of proprietary software and algorithms as data-driven cybernetics becomes the cutting edge of all human economic development?
Panelists:
⭐️ Sebastian Raschka, Lead AI Educator, @PyTorchLightning AI; Assistant Professor of Statistics, @uwmadison
⭐️ Paige Bailey, Group Product Manager, @Google AI
⭐️ Ryan Abernathey, Associate Professor, @columbia
Moderator:
🎤 Travis Oliphant, CEO OpenTeams and @quansight, Founder of @AnacondaInc., NumFOCUS, and PyData. Creator of NumPy, SciPy, and Numba.
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