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November 22, 2023

How to apply design thinking in data science

Design thinking is critical for developing data-driven business tools that surpass end-user expectations. Here's how to apply the five stages of design thinking in your data science projects. Read more ▶

Image: Sponsored by Intel: What lies ahead across the AI landscape?

Sponsored by Intel: What lies ahead across the AI landscape?

“AI has already created global change," says Intel CEO Pat Gelsinger. "It has the potential to enable a responsible, inclusive, and sustainable future." In a relatively uncharted AI landscape, IT and business leaders have untold opportunities for innovation. Explore what's out there.

Reining in the BS in AI

Large language models trained on questionable stuff online will produce more of the same. Retrieval augmented generation is one way to get closer to truth.

Project Valhalla: A look inside Java’s epic refactor

Valhalla is nothing short of a Java language overhaul, promising to correct longstanding performance issues. Here's a first look at what's coming, starting with the new value classes and primitive classes.

Image: What’s missing in cloud computing courses

What’s missing in cloud computing courses

Most training covers cloud brand-related skills. However, if we’re looking for talent to scale, we must go broad rather than deep.

JDK 22: The new features in Java 22

A preview of a class-file API, region pinning for the G1 garbage collector, and a second preview of implicitly declared classes and instance methods have been proposed for the next version of standard Java.

Anthropic's Claude 2.1 LLM turbocharges performance, offers beta tool use

Anthropic's Claude 2.1 large language model, which powers its Claude generative AI chatbot, raises the bar on how much information an LLM can ingest at once.

TypeScript 5.3 arrives with support for import attributes

ECMAScript import attributes will support additional types of modules in a common way across JavaScript environments, starting with JSON modules.

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