Hub AI research

Artificial Intelligence is already part of everyday life. Since the ImageNet moment in 2012, when Deep Learning proved its great utility in combination with a lot of computing power and gigantic amounts of data, only about ten years have passed – yet there has been more progress than in half a century before.

Still, many questions remain: Will Deep Learning remain the gold standard of AI development? What are the performance limits of large AI systems? Do we need symbolic systems? What technology will lead to artificial general intelligence? Finally, what actually is intelligence, anyway?

We explore these topics and more in our Artificial Intelligence Research Content Hub.

AI research
Update

AI coding can make developers slower even if they feel faster

AI research

AI agents outperform human teams in hacking competitions

AI research

Wait a minute! Researchers say AI's "chains of thought" are not signs of human-like reasoning

Ad
AI research
Short

AI voice synthesis startup ElevenLabs has launched a tool to detect and prevent generative audio fraud. Users can upload audio samples, and the AI speech classifier will determine whether the content was generated by its platform, with a claimed accuracy rate of 99% for unmodified input and 90% for modified input.

Concurrent with the launch, ElevenLabs raised $19 million in a Series A funding round co-led by Nat Friedman, Daniel Gross, and Andreessen Horowitz. The company plans to use the investment to build a voice AI research center and launch additional products targeting market verticals such as publishing, gaming, and entertainment.

Ad
Ad
AI research
Short

Large Language Models (LLMs) are transforming software development, but their newness and complexity can be daunting for developers. In a comprehensive blog post, Matt Bornstein and Rajko Radovanovic provide a reference architecture for the emerging LLM application stack that captures the most common tools and design patterns used in the field. The reference architecture showcases in-context learning, a design pattern that allows developers to work with out-of-the-box LLMs and control their behavior with smart prompts and private contextual data.

"Pre-trained AI models represent the most significant architectural change in software since the internet."

Matt Bornstein and Rajko Radovanovic

Ad
Ad
Ad
Ad
Google News

Bank details

IBAN: DE88 2507 0070 0053 0014 00
BIC: DEUTDE2HXXX
Account holder: Deep Content GmbH
Purpose: Support THE DECODER
AI in practice

Anthropic confirms technical bugs after weeks of complaints about declining Claude code quality

AI and society

Anthropic settles landmark AI copyright lawsuit for at least $1.5 billion

AI in practice

Microsoft presents its first large AI models and signals greater independence from OpenAI

Google News