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Category Archives: AI

Heritage Foundation reports plan replacement of fed experts with AI

Derek B. Johnson: “The Heritage Foundation, an influential conservative think tank, is calling for increased reliance on automation and the potential creation of a “contractor cloud” offering streamlined access to private sector labor as part of its broader strategy for reorganizing the federal government. Seeking to take advantage of a united Republican government and a president who has vowed to reform the civil service, the foundation drafted a pair of reports this year attempting to identify strategies for consolidating, merging or eliminating various federal agencies, programs and functions. Among those strategies is a proposal for the Office of Management and Budget to issue a report “examining existing government tasks performed by generously-paid government employees that could be automated…Private firms can automate on their own schedule. However, major structural changes to the civil service will require congressional approval. At an Aug. 15 Heritage panel on government reorganization, former associate director at the Office of Management and Budget Robert Shea said he does not anticipate the passage of workforce legislation anytime soon…”

Are you being sarcastic in your Tweets – new algorithm can discern your intent

“We use millions of texts on Twitter containing emojis for training a deep learning model that understands many nuances of how language is used to express emotions. For instance, it does well at capturing sarcasm and slang. We beat state-of-the-art algorithms across many benchmarks datasets. See our paper, blog post or FAQ for more details.… Continue Reading

YouTube combating online terror content with machine learning

YouTube Official Blog: An update on our commitment to fight terror content online, August 1, 2017: “A little over a month ago, we told you about the four new steps we’re taking to combat terrorist content on YouTube: better detection and faster removal driven by machine learning, more experts to alert us to content that… Continue Reading

Google AI has learned to walk, jump, run and climb

Business Insider: “Google’s artificial intelligence company, DeepMind, has developed an AI that has managed to learn how to walk, run, jump, and climb without any prior guidance. The result is as impressive as it is goofy.” Continue Reading

Subjects: AI

Dex-Net 2.0: Deep Learning to Plan Robust Grasps with Synthetic Point Clouds and Analytic Grasp Metrics

“In the paper we detail the Dexterity Network (Dex-Net) 2.0, a dataset of 6.7 million robust grasps and point clouds with synthetic noise generated from our probabilistic model of grasping rigid objects on a tabletop with a parallel-jaw gripper. We develop a deep Grasp Quality Convolutional Neural Network (GQ-CNN) model and train it on Dex-Net… Continue Reading

MIT Technology Review – 50 Smartest Companies 2017

“Our editors pick the 50 companies that best combine innovative technology with an effective business model. Each year we identify 50 companies creating new opportunities by combining important technologies and business savvy. Some are large companies that seem to be growing ever larger, like Amazon and Apple. Others, like IBM, or General Electric are old-guard giants betting… Continue Reading

Paper – AI and the Law: Setting the Stage

Urs Glasser – Medium – “While there is reasonable hope that superhuman killer robots won’t catch us anytime soon, narrower types of AI-based technologies have started changing our daily lives: AI applications are rolled out at an accelerated pace in schools, homes, and hospitals, with digital leaders such as high tech, telecom, and financial services… Continue Reading

New on LLRX – Automatic Justice: Shaping the Legal Mind of Tomorrow

Via LLRX – Automatic Justice: Shaping the Legal Mind of Tomorrow – Smart computing is changing the nature of legal work even as the profession struggles to understand its scope. Machines sophisticated enough to communicate intelligibly and naturally with human hosts, technology with the processing power to wrangle big data are enhancing the way attorneys… Continue Reading

A DARPA perspective on artificial intelligence

Via Law Librarian Blog, May 15, 2017 – “According to John Launchbury, director of DARPA’s Information Innovation Office, the development of artificial intelligence is progressing in three waves: handcrafted knowledge, statistical learning and contextual adaptation. In the below video, Launchbury explains his theory. From the YouTube description: John Launchbury … attempts to demystify AI–what it… Continue Reading

Incorporating Ethics into Artificial Intelligence

“This article reviews the reasons scholars hold that driverless cars and many other AI equipped machines must be able to make ethical decisions, and the difficulties this approach faces. It then shows that cars have no moral agency, and that the term ‘autonomous’, commonly applied to these machines, is misleading, and leads to invalid conclusions… Continue Reading

A growing number of people think their job is useless. Time to rethink the meaning of work

World Economic Forum: “A great deal has been written in recent years about the perils of automation. With predicted mass unemployment, declining wages, and increasing inequality, clearly we should all be afraid. By now it’s no longer just the Silicon Valley trend watchers and technoprophets who are apprehensive. In a study that has already racked… Continue Reading

Quartz – Google took your drawings and taught its AI to sketch on its own

Dave Gershgom: “A few months ago, Google made a game called Quick, Draw!, where it supplied you with a word and you’d try to sketch it online. The game then used a neural network, a statistical approximation of how the brain learns, to identify what you were trying to sketch. It was like playing Pictionary… Continue Reading