Python pioneer assesses the 30-year-old programming language
The Python programming language, which has never been more popular, arguably thanks to the rise of data science and AI projects in the enterprise, officially turns 30 years old tomorrow. …
AI Weekly: The challenges of creating open source AI training datasets
In January, AI research lab OpenAI released Dall-E, a machine learning system capable of creating images to fit any text caption. Given a prompt, Dall-E generates photos for a range …
Google’s Model Search automatically optimizes and identifies AI models
Google today announced the release of Model Search, an open source platform designed to help researchers develop machine learning models efficiently and automatically. Instead of focusing on a specific domain, …
Sentry raises $60 million to monitor app performance in real time
Application performance monitoring startup Sentry today announced it has secured $60 million in series D financing for a post-money valuation of $1 billion. Sentry says the funds will fuel product …
Microsoft’s open source Dapr hits prime time to help developers embrace microservices
Microsoft today announced that its open source, platform-agnostic Distributed Application Runtime (Dapr) is now production ready, with v1.0 available on GitHub 16 months after it was first pushed into community …
IBM’s Arin Bhowmick explains why AI trust is hard to achieve in the enterprise
While appreciation of the potential impact AI can have on business processes has been building for some time, progress has not nearly been as quick as many initial forecasts led …
What are low-code databases?
Low-code databases are tools designed with simple user interfaces that can be used successfully even by those without any background in programming. They’re in strong demand because of the boom …
Exploring AWS SageMaker’s new features — Clarify, Pipelines, Feature Store
Welcome to part 2 of our two-part series on AWS SageMaker. If you haven’t read part 1, hop over and do that first. Otherwise, let’s dive in and look at …
AI progress depends on us using less data, not more
In the data science community, we’re witnessing the beginnings of an infodemic — where more data becomes a liability rather than an asset. We’re continuously moving towards ever more data-hungry …
How to launch a federated learning program
This is second article in a two-part series on federated learning (FL). Part 1 — How to know if federated learning should be part of your data strategy — will …