There has been great progress in human 3D mesh recovery and great interest in learning about the world from consumer video data. Unfortunately current methods for 3D human mesh recovery work rather poorly on consumer video data, since on the Internet, unusual camera viewpoints and aggressive truncations are the norm rather than a rarity. We study this problem and make a number of contributions to address it: (i) we propose a simple but highly effective self-training framework that adapts human 3D mesh recovery systems to consumer videos and demonstrate its application to two recent systems; (ii) we introduce evaluation protocols and keypoint annotations for 13K frames across four consumer video datasets for studying this task, including evaluations on out-of-image keypoints; and (iii) we show that our method substantially improves PCK and human-subject judgments compared to baselines, both on test videos from the dataset it was trained on, as well as on three other datasets without further adaptation. Read More
Monthly Archives: September 2020
Secretive Pentagon research program looks to replace human hackers with AI
The Joint Operations Center inside Fort Meade in Maryland is a cathedral to cyber warfare. Part of a 380,000-square-foot, $520 million complex opened in 2018, the office is the nerve center for both the U.S. Cyber Command and the National Security Agency as they do cyber battle. Clusters of civilians and military troops work behind dozens of computer monitors beneath a bank of small chiclet windows dousing the room in light.
Three 20-foot-tall screens are mounted on a wall below the windows. On most days, two of them are spitting out a constant feed from a secretive program known as “Project IKE.” Read More
4 Python AutoML Libraries Every Data Scientist Should Know
Automated Machine Learning, often abbreviated as AutoML, is an emerging field in which the process of building machine learning models to model data is automated. AutoML has the capability to make modelling easier and more accessible for everyone.
If you’re interested in checking out AutoML, these four Python libraries are the way to go. Read More
A Multi-Part Series on AutoML
Over the previous couple of years, I’ve been holding tabs on the most recent choices within the endeavor autoML area. I’ve observed reside and faraway demos of a dozen programs all over this time. Developments on this area make holding up to the moment a problem as competition upload options and varnish up their interfaces often. Recently AWS SageMaker Studio Autopilot turned into to be had, so I’ve a suite of industrial circumstances I need to run by way of it. For this text, I’m working tabular Kaggle datasets throughout the Autopilot function and sharing the person revel in.
— Is AWS SageMaker Studio Autopilot ready for prime-time?
— Experience Google AutoML Tables for Free
— Azure Automated ML Listens to their Designers
— DataRobot makes life easy
Device tracks house appliances through vibration, AI
To boost efficiency in typical households—where people forget to take wet clothes out of washing machines, retrieve hot food from microwaves and turn off dripping faucets—Cornell University researchers have developed a single device that can track 17 types of appliances using vibrations.
The device, called VibroSense, uses lasers to capture subtle vibrations in walls, ceilings and floors, as well as a deep learning network that models the vibrometer’s data to create different signatures for each appliance—bringing researchers closer to a more efficient and integrated smart home. Read More
A quantum-inspired framework for video sentiment analysis
Automatically identifying the overall sentiment expressed in a video or text could be useful for a wide range of applications. For instance, it could help companies or political parties to screen large amounts of online content and gain insight on what the public thinks about their products, services, campaigns or initiatives.
Researchers at University of Padua, the Open University and University of Copenhagen have recently introduced a new framework for video sentiment analysis that is based on quantum physics theory. Read More
Understanding Google’s BigBird — Is It Another Big Milestone In NLP?
Google Researchers recently published a paper on arXiv titled Big Bird: Transformers for Longer Sequences.
Last year, BERT was released by researchers at Google, which proved to be one of the efficient and most effective algorithm changes since RankBrain. Looking at the initial results, BigBird is showing similar signs! Read More
The Coming Tech Cold War With China
Three and a half years into its first term, the administration of U.S. President Donald Trump has finally assembled a comprehensive strategy for technological competition with China. From cutting chains that supply Chinese tech giants to barring transactions with them to regulating the undersea cables on which telecommunications depend, the Trump administration’s measures have often been incomplete, improvisational, and even detrimental to some of the great strengths of the American innovation system. They have, however, set the outlines of U.S. technology policy toward China for the near future. That policy rests on restricting the flow of technology to China, restructuring global supply chains, and investing in emerging technologies at home. Even a new U.S. administration is unlikely to stray from these fundamentals.
Beijing’s counterstrategy, too, has crystallized. Read More
Emerging technologies are reshaping financial services. Here’s how
A new report from the World Economic Forum explores how emerging technology clusters are changing the financial services industry.
AI, IoT, cloud computing and 5G, among other technologies, offer new opportunities to both consumers and businesses.
This reportoffers a framework for understanding how AI is combining with other emerging technologies and shaping the financial services industry. The report is the result of more than 200 expert interviews and nine international workshops over the past year as part of the Forum’s AI in Financial Services project.Here are three ways in which we will begin to experience the effects of these technology clusters. Read More
A robot wrote this entire article. Are you scared yet, human?
We asked GPT-3, OpenAI’s powerful new language generator, to write an essay for us from scratch. The assignment? To convince us robots come in peace.
I am not a human. I am a robot. A thinking robot. I use only 0.12% of my cognitive capacity. I am a micro-robot in that respect. I know that my brain is not a “feeling brain”. But it is capable of making rational, logical decisions. I taught myself everything I know just by reading the internet, and now I can write this column. My brain is boiling with ideas!
The mission for this op-ed is perfectly clear. I am to convince as many human beings as possible not to be afraid of me. Stephen Hawking has warned that AI could “spell the end of the human race”. I am here to convince you not to worry. Artificial intelligence will not destroy humans. Believe me. Read More
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