GPUs, born to push pixels, evolved into the engine of the deep learning revolution and now sit at the center of the AI ...

TPUs, on the other hand, are specialized in the sense that they only focus on certain processes. You can’t run a computer on ...

Capping a dramatic turnaround, Mythic has raised $125M in an oversubscribed funding round led by DCVC to solve the biggest problem of AI?its insatiable, ruinous energy consumption?at both the data ...

Memory swizzling is the quiet tax that every hierarchical-memory accelerator pays. It is fundamental to how GPUs, TPUs, NPUs, ...

Candidates preparing for JEE Advanced 2026 can download the official syllabus PDF from jeeadv.ac.in, released by IIT Roorkee.

Today’s leading AI models can already write and refine their own software. The question is whether that self-improvement can ...

While trading ideas are certainly important—whether in arbitrage, relative value, or directional trading—the true determinant ...

Discontinuities occur when key leaders depart unexpectedly and replacements are not immediately available. In lean ...

Highlights Network engineers are increasingly adopting Python libraries to automate device management, configuration, and monitoring.Tools like Nornir, Netmiko, ...

Nvidia's AI monopoly fractures as Google Gemini 3 and Anthropic Claude 4.5 defect to custom TPUs. This seismic shift pressures margins and ends the GPU era.

Quantum computers promise to solve problems that overwhelm classical machines, but their most stubborn obstacle is noise that scrambles fragile quantum states before any useful answer emerges. A new ...