Here are four practical priorities, plus a 12‑month roadmap, to move from AI and automation experimentation to durable ...
Chainalysis has launched Workflows, a no-code feature that lets non-technical users automate advanced onchain investigations ...
The tool aims to democratize data science, allowing broader teams to replicate high-level investigations like Coinbase’s ...
The 12.1 release of NetBrain's network automation platform incorporates more powerful AI capabilities for network discovery, post-mortem outage assessments, and autonomous troubleshooting.
By shifting to an automation model that relies on an authoritative 'network source of truth,' Intel scaled its network, ...
Atlassian, Zebra Technologies, Kion, Dynatrace, Datadog and Drata are among CRN’s coolest cloud monitoring and management ...
Altair has announced updates to its HyperWorks software. HyperWorks 2026 targets accelerated development and improved product ...
The vulnerability was fixed in n8n version 1.111.0, with the addition of a task-runner-based native Python implementation ...
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Build a deep neural network from scratch in Python
We will create a Deep Neural Network python from scratch. We are not going to use Tensorflow or any built-in model to write the code, but it's entirely from scratch in python. We will code Deep Neural ...
VP of Product Management Taqi Jaffri unpacks how deterministic workflows and agentic AI complement each other in production environments, and why the transition from Robotic Process Automation (RPA) ...
Federal agencies are navigating a perfect storm: more threats and complexity, but fewer resources to manage it all. However, according to HPE Networking Chief AI Officer Bob Friday, the convergence of ...
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