Super Mario Sounds Exactly Like Chris Pratt—and That’s Fine
The voice revealed in Nintendo’s trailer disappointed some fans—but honestly, could you listen to high-pitched peals of “Mamma mia!” for an hour and a half?
The voice revealed in Nintendo’s trailer disappointed some fans—but honestly, could you listen to high-pitched peals of “Mamma mia!” for an hour and a half?
This week, we talk about the latest Pixel hardware, and why Google’s new smartwatch puts it on even footing with its rivals.
It costs $349 and only works with Android phones. Here’s everything else you need to know.
These new Android handsets don’t represent a giant leap from last year’s Pixel 6, but they do contain some smart updates.
Algorithms can predict the in-game actions of volleyball players with more than 80% accuracy, and now the lab is collaborating with the Big Red hockey team to expand the research project’s applications.
A team of researchers at Google’s DeepMind, London, has found that AI can find faster algorithms to solve matrix multiplication problems. In their paper published in the journal Nature, the group describes using reinforcement learning to improve math-based algorithms. A Research Briefing has also been published in the same journal issue summarizing the work by …
Read more “Using AI to create more efficient math algorithms”
An interdisciplinary team of researchers at Northeastern have built a device that can recognize “millions of colors” using new artificial intelligence techniques—a massive step, they say, in the field of machine vision, a highly specialized space with broad applications for a range of technologies.
What is really needed to make an existing 2D GAN 3D-aware? To answer this question, we modify a classical GAN, i.e., StyleGANv2, as little as possible. We find that only two modifications are absolutely necessary: 1) a multiplane image style generator branch which produces a set of alpha maps conditioned on their depth; 2) a …
Read more “Generative Multiplane Images: Making a 2D GAN 3D-Aware”
Texture cues on 3D objects are key to compelling visual representations, with the possibility to create high visual fidelity with inherent spatial consistency across different views. Since the availability of textured 3D shapes remains very limited, learning a 3D-supervised data-driven method that predicts a texture based on the 3D input is very challenging. We thus …
Read more “Texturify: Generating Textures on 3D Shape Surfaces”
IBM Planning Analytics, or TM1 as it used to be known, has always been a powerful upgrade from spreadsheets for all kinds of planning and reporting use cases, including financial planning and analysis (FP&A), sales & operations planning (S&OP), and many aspects of supply chain planning (SCP). As far back as the 1990s and early …
Read more “How IBM Planning Analytics can help fix your supply chain”