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The free Human Organ Atlas gives users an up-close-and-personal look at 56 human organs. The Human Organ Atlas portal is open-access and includes the kidneys, brain, heart, and more. Breakthroughs, discoveries, and DIY tips sent six days a week. If watching is giving you a renewed interest in the human body in all of its gory glory, there's a new tool that will help satisfy your curiosity. An international team of scientists developed an open-access 3D portal where users can explore human organs in detail.

The system consumes, as input, audio signals from headset microphones and body pose, and produces, as output, a 3D sound field surrounding the transmitter's

Please zoom in for details. 4 Figure 4: Qualitative 3D human reconstruction results on in-the-wild images with geometry and texture.

This year, hype around AI really exploded, and so did concerns about AI's environmental footprint. We also saw some surprising biotech developments. It's been a busy and productive year here at . We published magazine issues on power, creativity, innovation, bodies, relationships, and security . We hosted 14 exclusive virtual conversations with our editors and outside experts in our subscriber-only series, Roundtables, and held two events on MIT's campus. And we published hundreds of articles online, following new developments in computing, climate tech, robotics, and more.

While 3D human body modeling has received much attention in computer vision, modeling the acoustic equivalent, i.e. modeling 3D spatial audio produced by body motion and speech, has fallen short in the community. To close this gap, we present a model that can generate accurate 3D spatial audio for full human bodies. The system consumes, as input, audio signals from headset microphones and body pose, and produces, as output, a 3D sound field surrounding the transmitter's body, from which spatial audio can be rendered at any arbitrary position in the 3D space. We collect a first-of-its-kind multimodal dataset of human bodies, recorded with multiple cameras and a spherical array of 345 microphones. In an empirical evaluation, we demonstrate that our model can produce accurate body-induced sound fields when trained with a suitable loss. Dataset and code are available online.