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Category Archives: AI

Guide to ILTA’s Artificial Intelligence Content

Joe Davis, Project Consultant, Prudential Financial, Inc. –  “OK, so Watson won “Jeopardy!” back in 2011. That’s ancient history in technology years.  ILTA provides a wealth of programming about the current state of affairs in Artificial Intelligence that will benefit law firms and corporate legal departments.  In the future, I’m sure we’ll have a bot… Continue Reading

The moral dilemmas of the Fourth Industrial Revolution

World Economic Forum: “Should your driverless car value your life over a pedestrian’s? Should your Fitbit activity be used against you in a court case? Should we allow drones to become the new paparazzi? Can one patent a human gene? Scientists are already struggling with such dilemmas. As we enter the new machine age, we… Continue Reading

Report – Amplifying Human Potential Towards Purposeful Artificial Intelligence

Via Infosys: “For the purposes of this research, AI was defined as an area of computer science that emphasizes the creation of intelligent machines that work and react like humans. Some of the activities that computers with AI are designed for include image and speech recognition, learning, planning and problem-solving. Examples of applied AI technologies… Continue Reading

Learning from Simulated and Unsupervised Images through Adversarial Training

Learning from Simulated and Unsupervised Images through Adversarial Training. Ashish Shrivastava, Tomas Pfister, Oncel Tuzel, Josh Susskind, Wenda Wang, Russ Webb. (Submitted on 22 Dec 2016). Cite as: arXiv:1612.07828 [cs.CV] (or arXiv:1612.07828v1 [cs.CV] for this version) “With recent progress in graphics, it has become more tractable to train models on synthetic images, potentially avoiding the… Continue Reading

Ambrogi – The 10 Most Important Legal Technology Developments of 2016

Via LawSites: “What were 2016’s most important developments in legal technology? Every year since 2013, I’ve posted my picks of the year’s top developments in legal tech (2015, 2014, 2013). As another year wraps up, it’s time to look back at 2016. What follows are my picks for the year’s most important legal technology developments.… Continue Reading

Report – Artificial Intelligence, Automation, and the Economy

Artificial Intelligence, Automation, and the Economy – Executive Office of the President, December 2016 “Accelerating artificial intelligence (AI) capabilities will enable automation of some tasks that have long required human labor. These transformations will open up new opportunities for individuals, the economy, and society, but they have the potential to disrupt the current livelihoods of… Continue Reading

Building Jarvis – Mark Zuckerberg

Building Jarvis, Mark Zuckerberg – Monday, December 19, 2016 “My personal challenge for 2016 was to build a simple AI to run my home — like Jarvis in Iron Man.My goal was to learn about the state of artificial intelligence — where we’re further along than people realize and where we’re still a long ways… Continue Reading

McKinsey Report – The Age of Analytics – Competing in a Data-Driven World

The Age of Analytics – Competing in a Data-Driven World, December 2016 – Executive Summary; Full Report; Appendix (PDF) “Data and analytics capabilities have made a leap forward in recent years. The volume of available data has grown exponentially, more sophisticated algorithms have been developed, and computational power and storage have steadily improved. The convergence… Continue Reading

Data Science Central – Great list of resources: data science, visualization, machine learning, big data

Great list of resources: data science, visualization, machine learning, big data Posted by Vincent Granville on December 17, 2016. “Fantastic resource created by Andrea Motosi. I’ve only included the 5 categories that are the most relevant to our audience, though it has 31 categories total, including a few on distributed systems and Hadoop. Click here to view… Continue Reading

Paper – Judging a Book By its Cover – using neural networks

Judging a Book By its Cover, Brian Kenji Iwana, Seiichi Uchida. [v1] Fri, 28 Oct 2016. arXiv:1610.09204 “Book covers communicate information to potential readers, but can the same information be learned by computers? We propose a method of using a Convolutional Neural Network (CNN) to predict the genre of a book based on the visual… Continue Reading

Paper – Predicting judicial decisions of the European Court of Human Rights

Aletras N, Tsarapatsanis D, Preoţiuc-Pietro D, Lampos V. Predicting judicial decisions of the European Court of Human Rights: a Natural Language Processing perspective. Peer J Computer Science 2:e93 https://doi.org/10.7717/peerj-cs.93 “Recent advances in Natural Language Processing and Machine Learning provide us with the tools to build predictive models that can be used to unveil patterns driving… Continue Reading