Artificial intelligence (AI) is making all the difference between innovators and laggards in the global marketplace. Yet, implementing a state-of-the-art DataOps operation involves a long-term commitment to putting in place the right people, processes and tools that will deliver results.
In this post, we look at three organizations that are doing cutting-edge work in the field of DataOps. We look at the specific strategies they use and the results they’ve seen as they navigate the uncharted waters of DataOps. Read More
Daily Archives: July 31, 2019
How the new 'Lion King' came to life
When I was told that I’d be visiting the production of Disney’s new “Lion King,” I had a hazy idea of what to expect — sets recreating the iconic landscapes of the animated film, maybe some actors in costumes or motion capture suits.
Instead, if you’ve seen the movie (which came out on July 19), you probably won’t be surprised to hear that there wasn’t a single set or costume in sight. After all, even though the film looks like a live action remake of “The Lion King,” every shot except for the first was created on a computer. Read More
Amazon launches Neural Text-To-Speech and newscaster style on AWS Polly
Not to be outdone by Google’s WaveNet, which mimics things like stress and intonation in speech by identifying tonal patterns, Amazon today announced the general availability of Neural Text-To-Speech and newscaster style in Amazon Polly, its cloud service that converts text into speech.
As Amazon Web Services tech evangelist Julien Simon noted in a blog post, Neural Text-To-Speech delivers significant improvements in speech quality by increasing naturalness and expressiveness. Read More
Neural Decipherment via Minimum-Cost Flow: from Ugaritic to Linear B
In this paper we propose a novel neural approach for automatic decipherment of lost languages. To compensate for the lack of strong supervision signal, our model design is informed by patterns in language change documented in historical linguistics. The model utilizes an expressive sequence-to-sequence model to capture character-level correspondences between cognates. To effectively train the model in an unsupervised manner, we innovate the training procedure by formalizing it as a minimum-cost flow problem. When applied to the decipherment of Ugaritic, we achieve a 5.5% absolute improvement over state-of-the-art results. We also report the first automatic results in deciphering Linear B, a syllabic language related to ancient Greek, where our model correctly translates 67.3% of cognates. Read More
MobilBye: Attacking ADAS with Camera Spoofing
Advanced driver assistance systems (ADASs) were devel-oped to reduce the number of car accidents by issuing driveralert or controlling the vehicle. In this paper, we tested therobustness of Mobileye, a popular external ADAS. We injectedspoofed traffic signs into Mobileye to assess the influence ofenvironmental changes (e.g., changes in color, shape, projectionspeed, diameter and ambient light) on the outcome of an attack.To conduct this experiment in a realistic scenario, we used adrone to carry a portable projector which projected the spoofedtraffic sign on a driving car. Our experiments show that it ispossible to fool Mobileye so that it interprets the drone carriedspoofed traffic sign as a real traffic sign. Read More
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