The Resurgence Core is the final boss in Code Vein 2. This battle occurs during the hidden Rescue Lou quest and can only be accessed after completing all of the Timeline Shift Decision quests. This ...

Abstract: Highly efficient parallel processing of photonic tensor cores is required for on-chip implementation of photonic neuromorphic algorithms. These photonic tensor cores are realized using ...

NVIDIA's new CUDA Tile IR backend for OpenAI Triton enables Python developers to access Tensor Core performance without CUDA expertise. Requires Blackwell GPUs. NVIDIA has released Triton-to-TileIR, a ...

Having an annual cadence for the improvement of AI systems is a great thing if you happen to be buying the newest iron at exactly the right time. But the quick pace of improvement of Nvidia’s ...

PythoC lets you use Python as a C code generator, but with more features and flexibility than Cython provides. Here’s a first look at the new C code generator for Python. Python and C share more than ...

TL;DR: NVIDIA CUDA 13.1 introduces the largest update in two decades, featuring CUDA Tile programming to simplify AI development on Blackwell GPUs. By abstracting tensor core operations and automating ...

Amazon Web Services (AWS) is bulking up its AI agent platform, Amazon Bedrock AgentCore, to make building and monitoring AI agents easier for enterprises. AWS announced multiple new AgentCore features ...

What really happens after you hit enter on that AI prompt? WSJ’s Joanna Stern heads inside a data center to trace the journey and then grills up some steaks to show just how much energy it takes to ...

The race for autonomous driving has three fronts: software, hardware, and regulatory. For years, we’ve watched Tesla try to brute-force its way to “Full Self-Driving (FSD)” with its own custom ...

Python has become one of the most popular programming languages out there, particularly for beginners and those new to the hacker/maker world. Unfortunately, while it’s easy to get something up and ...

TPUs are Google’s specialized ASICs built exclusively for accelerating tensor-heavy matrix multiplication used in deep learning models. TPUs use vast parallelism and matrix multiply units (MXUs) to ...