The Too-small World of Artificial Intelligence
Last Updated on July 20, 2023 by Editorial Team
Author(s): Sergii Shelpuk
Originally published on Towards AI.
Overcrowded and overlooked parts of the AI world
I spent the last eight years as an insider of the artificial intelligence (AI) community, working for different companies and in various roles. At DeepTrait, with our focus on AI applications for genetic analysis and engineering, I viewed the same AI community from a very different angle. Here, I relay my perceptions of AI from both inside and outside points of view.
The success of AlexNet at the ImageNet competition in 2012 foretold a rebirth of neural networks and the beginning of the new exciting cycle within the field. I became involved with machine learning (ML) in 2011, right before the… Read the full blog for free on Medium.
Join thousands of data leaders on the AI newsletter. Join over 80,000 subscribers and keep up to date with the latest developments in AI. From research to projects and ideas. If you are building an AI startup, an AI-related product, or a service, we invite you to consider becoming a sponsor.
Published via Towards AI
Towards AI Academy
We Build Enterprise-Grade AI. We'll Teach You to Master It Too.
15 engineers. 100,000+ students. Towards AI Academy teaches what actually survives production.
Start free — no commitment:
→ 6-Day Agentic AI Engineering Email Guide — one practical lesson per day
→ Agents Architecture Cheatsheet — 3 years of architecture decisions in 6 pages
Our courses:
→ AI Engineering Certification — 90+ lessons from project selection to deployed product. The most comprehensive practical LLM course out there.
→ Agent Engineering Course — Hands on with production agent architectures, memory, routing, and eval frameworks — built from real enterprise engagements.
→ AI for Work — Understand, evaluate, and apply AI for complex work tasks.
Note: Article content contains the views of the contributing authors and not Towards AI.
Related posts
Recent Posts
