Artificial Intelligence | News, analysis, features, how-tos, and videos
Let’s look at reasons to push core AI processes out of the centralized public cloud to the edge.
Algorithmic biases that lead to unfair or arbitrary outcomes take many forms. But we also have many strategies and techniques to combat them.
Data science can make robotic process automation more intelligent. Robotic process automation make it easier to deploy data science models in production.
Available through the OpenAI API in a private beta, Codex can translate natural language into code in upwards of a dozen programming language.
MySQL Autopilot uses advanced machine learning techniques to accelerate HeatWave query performance and scalability in Oracle Cloud’s MySQL Database Service.
AI has the power to liberate organizations from CRM-related manual processes and improve customer engagement, sales insights, and social networking, for starters.
Quality data science outputs depend on quality inputs. Data cleansing and preparing may not be exciting work, but it’s critical.
The non-profit defender of software freedom has raised questions about the fairness, legitimacy, and legality of GitHub’s AI-driven coding assistant.
Triton uses Python’s syntax to compile to GPU-native code, without the complexities of GPU programming.
Microsoft Research’s Human-AI eXperience toolkit makes us think about how we use AI in our code.