TetraMem - Accelerate The World’s Post

Excited to see TetraMem - Accelerate The World at #CES2024! #Memory access - volume and speed - is the lifeblood of #AI #Semiconductors and TetraMem has developed disruptive #EdgeAI technology that’s grabbed the attention of the industry. Check it out!

A good introduction to Quantum Computing https://lnkd.in/d6yMP5dX

I talked about my view on video generation with Lijun Yu. - The distinct split between autoregressive models and diffusion models. They're both good ways of representing distributions. There must be some way to unify them and get the best of both worlds. - The inductive bias of U-Net helps it performs better than plain transformers on vision tasks. This reminds me of the battle between CNN and transformers in the old computer vision days. CNN has biased towards locality while transformers have to learn through large data. Thanks Sylvia Tong Xiaoxiao(Annie) Qin for hosting. Thanks Cindy Le for sharing and editing the video.

New Evidence Backs Up Idea We Live In A Computer Simulation https://lnkd.in/gW5BxyZ2

For the interested ones: Beautiful and very visual explanation of how quantum computation works, shown here on a self made 1 qbit QC. I enjoyed the video much. https://lnkd.in/dGet4xwh

🔍 Computer Vision in Industry Vs. Academia 🔍 Transitioning from academia to the industry in the realm of computer vision? It's essential to understand the differences between the two. From objectives and performance metrics to real-world data challenges and ethical considerations, the industry landscape is vast and varied. Dive into our latest Video Blog to equip yourself with insights and guidance for a successful transition. https://lnkd.in/gPJyZ3km

How to confuse computer vision algorithm.

Here is my article about Computer vision #snsinstitutions #snsdesignthinkers

In a thorough and accessible explainer, Nate Cibik walks us through the recent history of computer vision and the technical breakthrough that vision transformers represent.

Explore the fascinating world of algorithms from medical imaging to quantum computing! https://lnkd.in/gGDjab6P The Marching Cubes algorithm has revolutionized medical imaging by extracting polygonal meshes of ISO surfaces from 3D discrete scalar fields. It's crucial in visualizing CT and MRI scan data and has paved the way for unconventional applications like wave function collapse theories. Join me as we delve into the impact of weird algorithms, from procedurally generating maps in video games to the potential threats posed by quantum computers, and more. What weird algorithm intrigues you the most? Share your thoughts in the comments and let's unravel the possibilities together!