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Prikvačeni tweet
Real-time monocular depth prediction using a
#rustlang@gstreamer and@PyTorch pipeline. I use to have this pipeline in TensorFlow, but moved away from it.pic.twitter.com/Efe9ShKYbZHvala. Twitter će to iskoristiti za poboljšanje vaše vremenske crte. PoništiPoništi -
Got a Karbon 700 from
@OnLogic, a@flir camera and sensors from@InertialSense. Working on a proof of concept for my real-time computer vision streaming pipeline—before I go inflicting this tech stack on other teams. Developed with Rust, GStreamer and PyTorch.pic.twitter.com/XdL90vp9yE
Hvala. Twitter će to iskoristiti za poboljšanje vaše vremenske crte. PoništiPoništi -
Hvala. Twitter će to iskoristiti za poboljšanje vaše vremenske crte. PoništiPoništi
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Ordered an
@OnLogic Karbon700 https://www.onlogic.com/computers/rugged/karbon700/ … Looking forward to some fun experiments.Prikaži ovu nitHvala. Twitter će to iskoristiti za poboljšanje vaše vremenske crte. PoništiPoništi -
Added semantic segmentation to the real-time computer vision streaming pipeline. Now in real need of a native Tensor media type in GStreamer if I want to stay above 100FPS.
#pytorch#rustpic.twitter.com/YYaeocbB2pPrikaži ovu nitHvala. Twitter će to iskoristiti za poboljšanje vaše vremenske crte. PoništiPoništi -
rozgo proslijedio/la je Tweet
A 4 year old child actually has a few hundred million years of experience, not 4. Their rapid learning/generalization is much less shocking/magical considering this fact.
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rozgo proslijedio/la je Tweet
All of us writing C and C++ are living on borrowed time. The only safe future is Rust. Prepare your code to go out of scope.
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rozgo proslijedio/la je Tweet
Se deben formar y crear laboratorios de investigación que realmente lo sean, y cambiar la currícula educativa. A veces se quiere replicar modelos, pero son otras realidades. Si no cambia, seguiremos en el mismo cículo,
@ilianabenitez1@studio_vertex Tendencias#TrabajoDelFuturopic.twitter.com/Banpp6vGTT
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Interesting read if you follow AI policy developmentshttps://medium.com/politics-ai/an-overview-of-national-ai-strategies-2a70ec6edfd …
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AI policy is defined as public policies that maximize the benefits of AI, while minimizing its potential costs and risks.
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rozgo proslijedio/la je Tweet
We are releasing our
#ICCV2019 work on goal-directed visual navigation. We introduced a method that harnesses different perception skills based on situational awareness. It makes a robot reach its goals more robustly and efficiently in new environments. http://arxiv.org/abs/1908.09073 pic.twitter.com/I3DofR0vW9
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Amazing UE4 developer, audio genius and one of the most talented people I’ve worked with.https://twitter.com/cloud_canvas/status/1157813402518994945 …
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We’ll need to teach it, cause
#ArtificialInteligence, on its own, won’t develop empathy for the painful privilege of our existence.Hvala. Twitter će to iskoristiti za poboljšanje vaše vremenske crte. PoništiPoništi -
Very early results of decoding synthetic characters into real humans using
@UnrealEngine,@gstreamer and GANs model. Part of our quest to bridge the reality gap in real time synthetic data pipelines.@studio_vertexpic.twitter.com/eJku07JTtDHvala. Twitter će to iskoristiti za poboljšanje vaše vremenske crte. PoništiPoništi -
rozgo proslijedio/la je Tweet
Weight Agnostic Neural Networks
Inspired by precocial species in biology, we set out to search for neural net architectures that can already (sort of) perform various tasks even when they use random weight values.
Article: https://weightagnostic.github.io
PDF: https://arxiv.org/abs/1906.04358 pic.twitter.com/El2uzgxS5IPrikaži ovu nitHvala. Twitter će to iskoristiti za poboljšanje vaše vremenske crte. PoništiPoništi -
Encoding mechanics and behaviors into economy primitives, effectively creating an economy algebra of the problem domain, has the added benefit of improving sample efficiency of reinforcement learning models by providing a fully dense reward state space.
#deeplearningHvala. Twitter će to iskoristiti za poboljšanje vaše vremenske crte. PoništiPoništi -
Testing turning a semantically labeled
#UnrealEngine scene into photo-realistic video. Lacking a bit of the "photo-real" in this first test, but cool nonetheless.pic.twitter.com/dGwqX9wQm1Hvala. Twitter će to iskoristiti za poboljšanje vaše vremenske crte. PoništiPoništi -
Multi-robot coordination: Distributed synchronization of industrial robots through ROS 2 https://acutronicrobotics.com/news/distributed-sub-microsecond-synchronization-of-industrial-robots-through-ros-2-article-1903/ …
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rozgo proslijedio/la je Tweet
A map from the unit square to the unit circle, without trigonometry, that I found in this paper https://arxiv.org/ftp/arxiv/papers/1509/1509.06344.pdf … . I reduced and simplified to just v = maxcomp(abs(v))*normalize(v) Not for sampling, but great for geometry. Presumably works in 3D! https://www.shadertoy.com/view/3dsSWs pic.twitter.com/u7xuYdYxl3
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One way to accelerate a massive multiagent training simulation session is to get a human-in-the-loop to reinforce. Human actions are worth more than a thousand tries.
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