Google Brain, Intel AI Lab & UC Berkeley Reveal the Power of Motion2Vec

Medical robot

It has come to light that, Motion2Vec, an AI model developed by Google Brain, Intel AI Lab, and UC Berkeley has the ability to learn how to do tasks related with robotic surgery such as suturing, needle-passing, needle inserting, and knot binding by watching surgery clips. The model was tested in a lab with a two-armed da Vinci robot moving a needle through cloth.

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Never mind the numbers – gaming success is the best reflection of AI advancement

A robot and human playing chess

You need only glance through the headlines to know that this is an incredibly exciting time in the world of AI, and that over the next five years it is likely to be an even bigger game-changer. This is the point at which we could set forth a whole gamut of facts and figures showing how AI has advanced. But there is a better way, and that is when you look at how it fares when it takes us on at our favorite games.  

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15 best Tools for tracking Machine Learning experiments

Machine Learning Tracking Tools

While working on a machine learning project, getting good results from a single model-training run is one thing, but keeping all of your machine learning experiments organized and having a process that lets you draw valid conclusions from them is quite another. That’s what machine learning experiment management helps with. In this article, I will explain why you, as data scientists and machine learning engineers, need a tool for tracking machine learning experiments and what is the best software you can use for that.

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Customizing the infinitely configurable AI: It takes Data and Time

Data has a better idea

COVID-19 drastically impacted how businesses operate. In our virtual world where contactless is the norm, companies are finally prioritizing digital transformation so they can continue conducting business without needing to rely on in-person interactions. However, the digital world is vast and competition is steep. To operate their business more efficiently and compete effectively, companies are often forced to consider cutting-edge tools, such as artificial intelligence (AI).

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AI in Asset Management: A Secretly Developing Field of Fintech

Asset management

A McKinsey report on data and analytics in asset management quotes, “The application of advanced analytics to specific business problems has begun to deliver value for traditional asset managers – not by replacing humans but by enabling them to make better decisions quickly and consistently.” Artificial intelligence, particularly, is helping to overcome the challenges of asset management and bring positive change. It will further improve efficiency, enhance decision-making, and manage risk.

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Top performing Artificial Intelligence Companies of 2021

AI investment 2020

As artificial intelligence has become a growing force in business, today’s top AI companies are leaders in this emerging technology. Entire industries are being reshaped by AI. To keep up with the AI market, we have updated our list of top AI companies playing a key role in shaping the future of AI.

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