Best Tech Podcasts This Week – 08/28/23
The Tech Tribune staff has compiled a list of the best new tech podcasts released in the last week (as of the time of writing):
“Reports that X (formerly Twitter)’s downloads decreased after Elon Musk’s rebranding of the microblogging social network only tell part of the story.”
“It turns out that it’s not easy to predict what’s next to happen in tech. We look at some famously off-the-mark predictions, including some that have been misunderstood or misattributed to the wrong person so that we can set the record straight.”
“Today we’re joined by Sophia Sanborn, a postdoctoral scholar at the University of California, Santa Barbara. In our conversation with Sophia, we explore the concept of universality between neural representations and deep neural networks, and how these principles of efficiency provide an ability to find consistent features across networks and tasks. We also discuss her recent paper on Bispectral Neural Networks which focuses on Fourier transform and its relation to group theory, the implementation of bi-spectral spectrum in achieving invariance in deep neural networks, the expansion of geometric deep learning on the concept of CNNs from other domains, the similarities in the fundamental structure of artificial neural networks and biological neural networks and how applying similar constraints leads to the convergence of their solutions.”
“Apple looks to refresh the iPad to reinvigorate sales. Huge network crash is grounding planes in the UK. Some tentative sign that the Tech IPO window might be creaking open. Do you need a 100 year domain renewal? And the Silicon Valley bigwigs who are investing big money to build a new Bay Area city from scratch.”
““We build the monetisation engine for Google. We build the entire stack that moves money and we do it at Google scale. The reason we have to build it internally is (because) at our scale and with all our different business models and products that we support at Google there is not really one product out there that does it all. You have to piece together multiple different things and some of that is very unique to the way Google runs and its scale and reach… billions of users, hundreds of countries and territories. So that’s why we do what we do.””