tag > Augmentation
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Jointly learning video, audio, text to recall digital memories (facebook AI)
"Smartphone cameras have made it simple to take photos and videos on the fly. In the future, wearables such as AR glasses will make it even easier to capture things — hands free. As this becomes the norm, people should be able to recall specific moments from their vast bank of digital memories just as easy as they capture them. It’ll be valuable to build smarter AI systems that can understand what’s happening in videos on a more granular level."
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Im2Vec: Synthesizing Vector Graphics without Vector Supervision
Machine learning will soon surpass hand-engineered image vectorization methods (which are already quite good), but will allow us to more interesting things with the learned representations
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3 New Things An AI Can Do With Your Photos
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Drivers Are 24% More Likely To Speed When Using Adaptive Cruise Control (arstechnica.com)
Comment: With greater power comes greater responsibility. For more context on this topic, see this talk i gave a while back: "Augmentation, Amputation, Dehumanisation - Towards Life Centered Design"
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"The urge to save humanity is almost always a false-face for the urge to rule it." - H.L.Mencken
"The urge to augment humanity is almost always a false-face for the urge to rule it." - Samim
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Recognizing Pose Similarity in Images and Videos (Google)
In “View-Invariant Probabilistic Embedding for Human Pose” (Pr-VIPE), we present a new algorithm for human pose perception that recognizes similarity in human body poses across different camera views by mapping 2D body pose keypoints to a view-invariant embedding space. This ability enables tasks, such as pose retrieval, action recognition, action video synchronization, and more. We have released the code on our GitHub repo.
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French army gets ethical go-ahead for bionic soldiers (CNN)
The French armed forces now have permission to develop "augmented soldiers" following a report from a military ethics committee. The report, released to the public on Tuesday, considers medical treatments, prosthetics and implants that improve "physical, cognitive, perceptive and psychological capacities," and could allow for location tracking or connectivity with weapons systems and other soldiers.
China has done human testing to create biologically enhanced super soldiers, says top U.S. official (NBC)
U.S. intelligence agencies didn't immediately respond to requests for comment about whether China seeks super soldiers like those in such films as "Captain America."
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How Artificial Intelligence Is Changing The Fitness Industry During COVID-19
The fitness industry is undergoing a major transformation through a massive deployment of IoT applications and innovative artificial intelligence (AI) product offerings. The research firm Reports and Data predicts that the annual revenues for the fitness app market will reach $14.64 billion by 2027 with around 100.2 mln of fitness app users by 2024. AI-powered applications in the health, nutritional, and fitness sectors are finding exceptional consumer demand. Hiring an AI engineer, startup owners are creating smarter products, leveraging the latest innovations in machine learning, deep learning, and computer vision.
Challenges of Human Pose Estimation in AI-Powered Fitness Apps
Human pose estimation is a popular solution that AI has to offer; it is used to determine the position and orientation of the human body given an image containing a person. Some examples of applying pose estimation in fitness are Kaia, VAI Fitness Coach, Ally apps, or the Millie Fit device. Powered by computer vision and natural language processing algorithms, the technologies lead end-users through a number of workouts and give real-time feedback.
3D Human Pose Estimation in AI Fitness Coach Apps
“Is it possible for a technology solution to replace fitness coaches? Well, someone still has to motivate you saying “Come On, even my grandma can do better!” But from a technology point of view, this high-level requirement led us to 3D human pose estimation technology. In this article, I will describe our own experience of how 3D human pose estimation can be developed and implemented for the AI fitness coach solution.
Zenia: AI Guided Yoga & Fitness
"Zenia is the most advanced motion-tracking fitness app with real-time feedback and detailed analytics."
Apple is working on a new iPhone app with workout videos, code-named ‘Seymour’
Apple is working on an app with fitness videos, codenamed Project Seymour. Elite fitness instructor Jay Blahnik is running the project internally, according to a person familiar. The guided workouts range from cycling to yoga.
On-device, Real-time Body Pose Tracking with MediaPipe BlazePose (Google Research)
Today we are announcing the release of a new approach to human body pose perception, BlazePose, which we presented at the CV4ARVR workshop at CVPR 2020. If one leverages GPU inference, BlazePose achieves super-real-time performance, enabling it to run subsequent ML models, like face or hand tracking.
Kaia Health gets $26M to show it can do more with digital therapeutics
Kaia Health, a digital therapeutics startup which uses computer vision technology for real-time posture tracking via the smartphone camera to deliver human-hands-free physiotherapy, has closed a $26 million Series B funding round.
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Img 1: Spiritualism Seance in Berlin (1930) - Img 2: Macy Conferences on Cybernetics (1946-1953)
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Language Models are Open Knowledge Graphs (Paper Explained)
Introducing on how Huawei Knowledge Graph improves your working efficiency
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Android is becoming a worldwide earthquake detection network
Google is creating a worldwide, Android phone-powered earthquake alert system. The first part of that system is rolling out today. If you opt in, the accelerometer in your Android phone will become one data point for an algorithm designed to detect earthquakes. Eventually, that system will automatically send warnings to people who could be impacted.
#Technology #ML #Augmentation #HCI #FFHCI #CrowdIntelligence #Military
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The Three Pillars of Machine Programming
In this position paper, we describe our vision of the future of machine programming through a categorical examination of three pillars of research. Those pillars are: intention, invention, and adaptation. Intention emphasizes advancements in the human-to-computer and computer-to-machine-learning interfaces. Invention emphasizes the creation or refinement of algorithms or core hardware and software building blocks through machine learning (ML). Adaptation emphasizes advances in the use of ML-based constructs to autonomously evolve software.
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“That which withers in the age of mechanical reproduction is the aura of the work of art. This is a symptomatic process whose significance points beyond the realm of art. One might generalize by saying: the technique of reproduction detaches the reproduced object from the domain of tradition.” - Walter Benjamin
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Scientists Say You Can Cancel the Noise but Keep Your Window Open
Researchers in Singapore developed a system that’s sort of like noise-canceling headphones for your whole apartment. Their results were published on Thursday in Scientific Reports. The prototype is not yet the most practical device in real world conditions, but it points the way toward the development of technologies that may help ease the strain of noisy city living.
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Microsoft’s AI generates voices that sing in Chinese and English
Researchers at Zhejiang University and Microsoft claim they’ve developed an AI system — DeepSinger — that can generate singing voices in multiple languages by training on data from music websites. In a prepint paper they describe the novel approach, which leverages a specially-designed component to capture the timbre of singers from noisy singing data.
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Stanford research provides a snapshot of a new working-from-home economy
Stanford economist Nicholas Bloom discusses the societal impacts of a new “working-from-home economy” and the challenges posed by the massive transition to widespread remote work. "We see an incredible 42 percent of the U.S. labor force now working from home full-time."
