Discover the ideal way to build your AI capabilities: build, outsource or buy

Most CEOs are scrambling to use AI in their businesses as a company’s AI capabilities have the potential to become the ultimate competitive advantage. However, CEOs are faced with a difficult question: How to build AI capabilities.

Listening to your internal team can be confusing. Engineers will describe virtues of in-house solutions as it allows them to work on the next cool technology on your payroll. Commercial teams will ask for fast working solutions and won’t mind how much they cost since that cost will likely be booked under tech and not hurt the targets of commercial teams. Read more

Share

Learning algorithms classified by their real world impact [2020]

At aimultiple.com we are always talking about how AI systems are already changing the way companies are run, however it is easy to forget that we are still at the beginning of the AI revolution. We looked into the current and potential future economical impact of learning algorithms to understand how AI will evolve.

Explore today’s most impactful learning algorithms

Andrew Ng masterfully summarizes current commercial impact of learning algorithms in this 2 minute video. We summarize his main points below after also incorporating the topics highlighted by Yann LeCun’s famous cake. Read more

Share

Measuring AI advancement through games [2020 update]

OpenAI's AI plays wins against professional Dota 2 players

When we talk about how far Artificial Intelligence has come, we often use numbers to make our point. We build upon the previous work, and if we have done our job well, we end up taking an incremental step towards the future. However, what really changes our perception is seeing what our steps allow us to accomplish.

This week, just after Elon Musk’s OpenAI beat a professional human player at Dota 2 – a widely successful computer game that is also played as a competitive e-sport – we bring you two decades of advancement in Artificial Intelligence, and how it is slowly but surely conquering competitive games. Read more

Share

Transparent rankings require a transparent methodology

We have been publishing rankings of AI vendors in specific AI use cases. Our aim is to create transparency around vendor decisions for corporate decision makers. To start off with that, we need a clear, transparent methodology.

First we need a formula to filter vendors and only present leading ones. For the first version of our lists, that formula is Number of current employees on Linkedin+ total funding/$0.5 M. This is a crude formula to prioritize larger companies. Without getting into a size related discussion, I can say that size does mean more resources dedicated to the product and marketing which is correlated with a more usable and capable product. We use 2 metrics: Read more

Share

Greatest artificial intelligence websites and apps you can use today

Almost all major websites and business do not use artificial intelligence could be a simpler question. Since AI systems can be defined as learning systems that solve problems which can not be solved perfectly, AI systems are ubiquitous in major enterprises. Here are some mainstream and some quirky examples that are open to public so you can interact with the AI system. If you think we are missing any examples, please add to comments.

Search engines

  • Text search:
    • Google is one of the leading companies in AI and it is impossible to have a competitive search solution today without Natural Language Processing, a sub field of AI. RankBrain is a machine-learning artificial intelligence system that helps Google process some of its search results, in particular rare or one-of-a-kind queries. It was launched in early 2015 and is used globally by Google.
    • Chinese search engine Baidu is also heavily investing in AI employing more than 1300 employees on AI topics like deep learning
    =&1=&Whether it is tagging images or searching images by uploading images, machine vision is required in image search. ViSenze is a vendor providing image search technology, you can see more details here and try their image search here.

    Translators:

    Google Translate was featured extensively by NYT as one of the leaders of the AI awakening Read more

Share