MIT Technology Review

Using unstructured data to fuel enterprise AI success

Organizations have a wealth of unstructured data that most AI models can’t yet read. Preparing and contextualizing this data ...

Alphabet Takes A Swing At Nvidia, Making The Bull Case Stronger

Alphabet’s TorchTPU push targets Nvidia with competitive AI hardware/software and key data center assets via Intersect. Click ...
GitHub

Differentiable Neural Surface Refinement for Transparent Objects

Linux (tested on Ubuntu 20.04.1 LTS) NVIDIA GPU + CUDA CuDNN (tested on RTX 3080 Ti) Please use PyTorch2.0.1 to avoid compilation errors (other versions should be ...

Neuromorphic Chips and 'Brain‑Like' Computing: How Next‑Gen Chips May Change Phones, Robots, and IoT Devices

Explore how neuromorphic chips and brain-inspired computing bring low-power, efficient intelligence to edge AI, robotics, and ...
Digi Times

Google reportedly launches TorchTPU project to boost TPU compatibility with PyTorch

Google has reportedly initiated the TorchTPU project to enhance support for the PyTorch machine learning framework on its tensor processing units (TPUs), aiming to challenge the software dominance of ...
Reuters

Exclusive: Google works to erode Nvidia's software advantage with Meta's help

Google's TorchTPU aims to enhance TPU compatibility with PyTorch Google seeks to help AI developers reduce reliance on Nvidia's CUDA ecosystem TorchTPU initiative is part of Google's plan to attract ...