Статьи об ИИ

This article summarizes Stanford’s HAI’s 2022 AI Index Report. The report, built by leading experts in academia and business, tries to cover the advancement of AI over the last year in detail.

Discover the most in-demand data skills and why employers are seeking skilled individuals. Plus. find out how you can improve your data knowledge in key areas.

With the rise of large language models like GPT-3, NLP is producing awe-inspiring results. In this article, we discuss how NLP is driving the future of data science and machine learning, its future applications, risks, and how to mitigate them.

This week we take a look at the tech behind Kendrick Lamar’s latest music video in which he uses deepfakes, how an AI is helping to get rid of annoying web cookie popups, Meta's new large language model, and more!

GPT-3 is transforming the way businesses leverage AI to empower their existing products and build the next generation of products and software.

In this edition of the Weekly Roundup, we cover PyScript - the latest release from Anaconda, a new world speed record for autonomous vehicles, and more.

Building trust in AI is key towards accelerating the adoption of data science and machine learning in financial services. Learn how to accelerate the development of trusted AI within the industry and beyond.

The financial services industry is rife with data and opportunities for generating value with data science and AI. However, increasing AI adoption in financial services requires overcoming five key obstacles. Learn more in this blog post.

As AI continuously evolves, managing data skills is a key element if you want to succeed in the fast-changing AI landscape. This blog post compiles the best management practices for large-scale AI projects.

In this post, we explore the life of Alan Turing, the long-lasting impact his work had on data science as we know it today, and in light of his memory the interactions between data science and the LGBTQ+ community.

We'll see more data work done in GUIs, via drag-and-drop and point-and-click interfaces.

As artificial intelligence, machine learning, and data science are fundamentally changing the world, we need to investigate how they’re impacting finance and algorithmic trading, particularly at a time when markets are so vulnerable and volatile.