A new article examines the history of computing to help outline the direction of quantum research. It reports that quantum ...
Software compatibility differs substantially, with Nvidia supporting CUDA, TensorRT-LLM, PyTorch, JAX and Triton, while Google’s TPU works with JAX/XLA, TensorFlow and emerging PyTorch/XLA, according ...
Nvidia leads general-purpose AI with integrated racks, strong margins, and 38× forward earnings, offering nearly 50% upside.
ASML is the ultimate "pick-and-shovel" stock for the AI era because it has a monopoly on the machines needed to produce today ...
For many years, the US company Nvidia shaped the foundations of modern artificial intelligence. Its graphics processing units ...
Google’s efforts to sell or lease its artificial intelligence server chips so they can run in any company’s data center—and not just in Google Cloud—have generated headlines, stock moves and a ...
Tom's Hardware on MSN
Samsung touts 96% lower-power NAND design — researchers investigate design based on ferroelectric transistors
Samsung researchers have published a detailed account of an experimental NAND architecture that aims to cut one of the ...
Nvidia's AI monopoly fractures as Google Gemini 3 and Anthropic Claude 4.5 defect to custom TPUs. This seismic shift ...
Over the last three years, I've been experimenting through a course called “AI and Consultative Decision Making.” I alsowrote ...
Abstract: In this work, ultrathin AlxOy films used as gate dielectrics in thin-film transistors (TFTs) are prepared in aqueous and organic electrolytes using an anodization process. A series of ...
Abstract: This article introduces a CMOS low noise amplifier (LNA) designed to operate within 32–46 GHz frequency range, aiming to achieve an ultralow noise figure (NF). Our primary goal is to get a ...
Some results have been hidden because they may be inaccessible to you
Show inaccessible results
Feedback