The Tech Edvocate

How to install packages in PyCharm?

Spread the love“`html If you’re diving into Python development, chances are you’ve encountered PyCharm. It’s a fantastic ...
InfoWorld

I ran the tiny Bonsai model on my tiny GPU. Here’s how it performed

Bonsai 27B is a multi-billion parameter model small enough to fit into a smartphone. It’s useful for dev and research work, ...
Yahoo Finance

MongoDB Brings Live Operational Data to the Agentic Coding Stack

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InfoQ

Adopting Memory-Safety and Fine-Grained Compartmentalisation with CHERI

David Chisnall discusses how the CHERI hardware architecture redefines pointer safety to solve isolation and sharing challenges. He explains how CHERI enables spatial and temporal memory safety for ...

LTX-2.5 can generate a 10-second AI video from an image in just 6.8 seconds on Nvidia superchips — and it's open weights

Because the weights are open, that entire experimentation phase can happen on a company's own hardware, with no ...
GitHub

README.md

The CodeGraph platform is coming — for every PR, know exactly what to test, what could break, which flows are affected, and whether business logic is compromised. CodeGraph bundles its own runtime — ...
Yahoo Finance

AMD and Cerebras Announce Industry-Leading Ultra-Low-Latency and High Throughput AI Inference Solution

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Morningstar%2c Inc.

AMD, Cerebras Team Up on AI Inference Solution

Advanced Micro Devices and Cerebras are partnering on an artificial-intelligence inference offering that aims to deliver the low latency required by advanced AI applications while boosting efficiency.
Nasdaq

AMD and Cerebras Announce Industry-Leading Ultra-Low-Latency and High Throughput AI Inference Solution

SAN FRANCISCO and SUNNYVALE, Calif., July 23, 2026 (GLOBE NEWSWIRE) -- AMD (NASDAQ: AMD) and Cerebras Systems (NASDAQ: CBRS) announced a technical partnership to deliver a new disaggregated AI ...
Geeky Gadgets

New Open-Source Plugin Turns Complex Repositories Into Interactive Maps

Better Stack examines how the open source plugin Understand-Anything simplifies navigating complex codebases by turning repositories into interactive, queryable knowledge graphs. Combining static code ...
IEEE

Vul-CTG: A Multimodal Framework for Software Vulnerability Detection via Code Text and Graph Integration

Abstract: Pretrained Language Models (PLMs) and Graph Neural Networks (GNNs) have emerged as promising approaches for software vulnerability detection. However, existing methods still face limitations ...
marktechpost

How to Build Repository-Level Code Intelligence with Repowise Using Graph Analysis, Dead-Code Detection, Decisions, and AI Context

In this tutorial, we explore how to use Repowise to build repository-level intelligence for the itsdangerous Python project in a practical and reproducible way. We start with an already cloned ...