Stability AI, the company behind Stable Diffusion, is trying to democratise AI and use its potential to'awaken humanity's potential'. However, if you have closely followed the AI ecosystem over the past few years, this might give you a sense of déjà vu. In 2015, Sam Altman and Elon Musk announced the formation of OpenAI, a non-profit company with similar motives – to democratise AI and open its research and models to the public. However, DALL-E2, by OpenAI, is not open-source; the company charges its users. Hence, with Stability AI in the picture, it made many of us wonder if Stability AI will toe the OpenAI line.

As AI models become increasingly refined, organisations are starting to notice the diverse range of solutions they can provide across not just data science teams but all departments of a company. Despite this, scaling AI solutions across a company is an extremely expensive and complex venture that most firms would struggle to see a return on investment from. In a market where AI has so much to offer but with such large costs, Peltarion is striving to bridge the gap enterprises face when realising AI solutions in terms of resources and knowledge. AI News joined Peltarion CEO Luka Crnkovic-Friis and operational AI expert Johan Hartikainen to discuss how the company's cloud-based software platform is helping to solve this catch-22 situation affecting the industry. AI News: In another interview you described Peltarion as doing for AI what WordPress did for HTML coding, would you still consider this an accurate analogy?

A London machine learning tech company has secured multi-million pound investment to grow its international footprint and bolster its research and development capabilities. Shoreditch-based Seldon has raised £7.1m in a Series A funding round in order to develop new offices in both the UK, the US and Asia. Founded in 2014, Seldon specialises in cloud agnostic machine learning deployment, and works in partnership with brands such as Google, Red Hat, IBM and Amazon Web Services. The firm's suite of products aims to enhance machine learning deployment pipelines with explainability, governance and monitoring functions. Co-led by AlbionVC and Cambridge Innovation Capital, the round also saw participation from existing investors Amadeus Capital Partners and Global Brain, with follow-on investment from other existing shareholders.

Developer conference season is in full flow, with Facebook's F8 last week and Microsoft Build, Google I/O and Amazon Web Services holding a London Summit this week, and they all had one thing in common: the goal of making AI technology more accessible for developers on their platforms. The big three cloud vendors made a slew of announcements this week, although AWS holds back most of its good stuff for re:Invent in Las Vegas later on in the year, all centring on machine learning and AI technologies. The idea is that by simplifying complex and powerful AI technology like computer vision, natural language understanding and deep learning models, these tech giants can lock developers into their ecosystem and milk them for cash as they consume infrastructure and services. So what did each of these companies say regarding AI this week? CTO Werner Vogels said: "Our mission is to make machine learning available and put it into the hands of every developer."