Artificial intelligence (AI) is transforming the practice of law, and “data is the new oil” of the legal industry, panelist Dennis Garcia said at a recent American Bar Association conference.
This case suggests that machine translation can fail even the most basic tests, and as long as that possibility remains, we have to maintain a healthy skepticism.
Information abundance requires us to invert our understanding of what “information technologies” do: rather than overcoming barriers in the world, they increasingly exist to help us put barriers in place.
Machine learning still stands on the three core features of representation, assessment, and optimization. As a result, many machine learning systems tend to return approximately the same results. Given a choice between more clever algorithms and better quality training data, it is often preferable to spend the effort on better data.
Amazon today (February 9, 2018) is launching a new Amazon Polly WordPress plugin that gives your blog a voice by creating audio versions of your posts.
Artificial intelligence is the future. Artificial intelligence is science fiction. Artificial intelligence is already part of our everyday lives. All those statements are true, it just depends on what flavor of AI you are referring to.
Cognitive analytics startup NexLP just raised $3 million in fresh funding in a round led by Chicago-based Method Capital and joined by Dundee Venture Capital, which is based in Omaha, Nebraska.
The buzz over artificial intelligence (AI) has grown loud enough to penetrate the C-suites of organizations around the world, and for good reason. Investment in AI is growing and is increasingly coming from organizations outside the tech space.
In Germany, the legal market is still new to financial investors. Venture capital and private equity companies as well as many ‘business angels’ often do not understand the digital business models in the legal market.
Based on recent legal technology announcements highlighting two important but sparingly used terms (Word2vec and Convolutional Neural Network), the following “starting points” are provided for a definitional overview of these terms along with additional links for context and reference.