❤️ Check out Weights & Biases and sign up for a free demo here: https://wandb.com/papers.
❤️ Their mentioned post is available here: http://wandb.me/variable-bitrate.
📝 The paper “Variable Bitrate Neural Fields” is available here:
https://nv-tlabs.github.io/vqad/
Continue reading “NVIDIA’s New AI: Video Game Graphics, Now 60x Smaller!” »
What dead whales can teach us about finding aliens.
Posted on Big Think, direct link at.
Posted on BigThink.
Continue reading “How to Make Alien Life Come Out of Hiding” »
A study published Wednesday in the JAMA Psychiatry journal shows that four key genetic variations are more common in military veterans who have taken their own life or considered it.
Scientists from Duke University in Durham, North Carolina, found the pattern while analyzing blood samples from a database that included 633,778 U.S. veterans, cross-referenced with the International Suicide Genetics Consortium of more than 549,000 individuals.
The obtained samples were sequenced to create genetic profiles compared to participants’ medical records, showing that 121,211 recorded cases of attempted suicide or thoughts about killing themselves.
If everything goes to plan, double SpaceX Falcon 9 launches are set to liftoff just minutes apart between 4 and 5 p.m. on Friday, Dec. 16.
Well… that’s me uninvited to the bioethicist’s christmas party…
Bioethicists frequently dictate what patients can and cannot do with their own bodies, and yet the general public very rarely questions this. Maybe it’s time we started to question what right bioethicists have to dictate what we can and cannot do with our own bodies?
‘We can learn a lot more using sound than we can with some of the other tools,’ says one researcher.
Researchers from the University of Tsukuba have shown how adding a tiny resonator structure to an ultrafast electron pulse detector reduced the intensity of terahertz radiation required to characterize the pulse duration (ACS Photonics, “Streaking of a Picosecond Electron Pulse with a Weak Terahertz Pulse”).
To study proteins—for example, when determining the mechanisms of their biological actions—researchers need to understand the motion of individual atoms within a sample. This is difficult not just because atoms are so tiny, but also because such rearrangements usually occur in picoseconds—that is, trillionths of a second.
One method to examine these systems is to excite them with an ultrafast blast of laser light, and then immediately probe them with a very short electron pulse. Based on the way the electrons scatter off the sample as a function of the delay time between the laser and electron pulses, researchers can obtain a great deal of information about the atomic dynamics. However, characterizing the initial electron pulse is difficult and requires complex setups or high-powered THz radiation.
What are #dopamine, #serotonin, norepinephrine, glutamate, #GABA, acetylcholine? What does dopamine do?
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Human-like articulated neural avatars have several uses in telepresence, animation, and visual content production. These neural avatars must be simple to create, simple to animate in new stances and views, capable of rendering in photorealistic picture quality, and simple to relight in novel situations if they are to be widely adopted. Existing techniques frequently use monocular films to teach these neural avatars. While the method permits movement and photorealistic image quality, the synthesized images are constantly constrained by the training video’s lighting conditions. Other studies specifically address the relighting of human avatars. However, they do not provide the user control over the body stance. Additionally, these methods frequently need multiview photos captured in a Light Stage for training, which is only permitted in controlled environments.
Some contemporary techniques seek to relight dynamic human beings in RGB movies. However, they lack control over body posture. They need a brief monocular video clip of the person in their natural location, attire, and body stance to produce an avatar. Only the target novel’s body stance and illumination information are needed for inference. It is difficult to learn relightable neural avatars of active individuals from monocular RGB films captured in unfamiliar surroundings. Here, they introduce the Relightable Articulated Neural Avatar (RANA) technique, which enables photorealistic human animation in any new body posture, perspective, and lighting situation. It first needs to simulate the intricate articulations and geometry of the human body.
The texture, geometry, and illumination information must be separated to enable relighting in new contexts, which is a difficult challenge to tackle from RGB footage. To overcome these difficulties, they first use a statistical human shape model called SMPL+D to extract canonical, coarse geometry, and texture data from the training frames. Then, they suggest a unique convolutional neural network trained on artificial data to exclude the shading information from the coarse texture. They add learnable latent characteristics to the coarse geometry and texture and send them to their proposed neural avatar architecture, which uses two convolutional networks to produce fine normal and albedo maps of the person underneath the goal body posture.
