Edge AI

Today, most AI applications run in the cloud on powerful, specialized computers in data centers. But experts say this will not always be the case. There will also be an increasing number of small models that run directly on users’ devices, from PCs to smartphones. This is called edge AI, after the concept of edge …

Read more

Ethical issues surrounding seemingly human AI applications

The increasing “humanization” of AI systems raises ethical and legal questions. In an interesting article on VentureBeat, James Thomason warns of the downsides of human-like AI. He is particularly concerned about the use of AI in sensitive areas such as therapy and education, where human empathy and understanding are essential. Thomason urges tech companies to …

Read more

The Economic Impact of Generative AI

In his report, “The Economic Impact of Generative AI,” MIT researcher Andrew McAfee examines the potential impact of AI tools on the economy. While generative AI may change some jobs or even make them obsolete, the author predicts an overall increase in the demand for workers, albeit in new occupational areas. Comprehensive training initiatives will …

Read more

Cyc: An Almost Forgotten AI Project

For four decades, the Cyc project has been working on giving machines the ability to reason. To this end, researchers have built a vast knowledge network consisting of millions of concepts and rules. Cyc can draw conclusions, answer questions, and even reconcile conflicting information from different domains. Despite these impressive achievements, Cyc is largely forgotten …

Read more

AI search engine Perplexity valued at more than $1 billion

AI-powered search tool Perplexity closed a new round of funding and is valued at more than $1 billion. With the new capital and a new Enterprise Pro Plan, the company plans to expand globally and offer its secure, AI-powered search service to enterprises.

Google DeepMind Gecko evaluates image generators

Google DeepMind develops “Gecko”, a new standard to evaluate the capabilities of AI image generators. It is designed to help better understand the strengths and weaknesses of AI models and drive their development.

Most companies not prepared for AI

Although the majority of IT managers worldwide rate artificial intelligence as a top priority, a recent survey shows that most companies are not yet adequately prepared to use it. The main obstacles are a lack of IT infrastructure and unclear guidelines for the ethical use of AI.

Research shows the usefulness of examples in prompts

Researchers at DeepMind have found that large language models can learn new skills through hundreds or even thousands of examples in the prompt, without the need to fine-tune the model. This method enables companies to quickly prototype and develop AI applications.

More than half of Americans have tried generative AI

More than half of Americans have already tried generative AI, with the majority (82%) seeing it as enriching their creativity and simplifying their lives. The technology is especially popular for personal projects (81%) and research and brainstorming (64%). These are the findings of a study by Adobe Analytics.