Lifeboat Foundation

Experts assembling sPHENIX, a state-of-the-art particle detector at the U.S. Department of Energy’s Brookhaven National Laboratory, successfully installed a major tracking component on Jan. 19. The Time Projection Chamber, or TPC, is one of the final pieces to move into place before sPHENIX begins tracking particle smash-ups at the Relativistic Heavy Ion Collider (RHIC) this spring.

The TPC is a gas-filled detector that, combined with the detector’s strong magnetic field, allows nuclear physicists to measure the momentum of charged particles streaming from RHIC collisions. It is one of many detector components that nuclear physicists will use to glean more information about the quark-gluon plasma (QGP)—a primordial soup made up of matter’s fundamental building blocks, quarks and gluons.

“QGP existed at the dawn of the universe some 14 billion years ago, about a millionth of a second after the Big Bang,” said Thomas Hemmick, a physicist at Stony Brook University (SBU) and a collaborator on RHIC research “RHIC’s collisions and sPHENIX’s ability to capture snapshots of particles traversing the QGP will help scientists understand how quarks and gluons cooled and coalesced to form the protons and neutrons that make up the atomic nuclei of all visible matter in the universe today.”

John Carmack, the iconic Dallas game developer, rocket engineer, and VR pioneer, is taking aim now at solving AGI. If successful, his moonshot effort would be a ‘change-the-world-level’ event.

The loss of pollinators, such as bees, is a huge challenge for global biodiversity and affects humanity by causing problems in food production. At Tampere University, researchers have now developed the first passively flying robot equipped with artificial muscle. Could this artificial fairy be utilized in pollination?

The development of stimuli-responsive polymers has brought about a wealth of material-related opportunities for next-generation small-scale, wirelessly controlled soft-bodied robots. For some time now, engineers have known how to use these materials to make small robots that can walk, swim and jump. So far, no one has been able to make them fly.

Researchers of the Light Robots group at Tampere University are now researching how to make smart material fly. Hao Zeng, Academy Research Fellow and the group leader, and Jianfeng Yang, a doctoral researcher, have come up with a new design for their project called FAIRY – Flying Aero-robots based on Light Responsive Materials Assembly. They have developed a polymer-assembly robot that flies by wind and is controlled by light.

https://www.youtube.com/watch?v=pDxvr6aeUfE

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Gravitilab.

The firm, called Gravitilab, flew its specially-modified LOUIS UAV quadcopter to an altitude of 2,000 feet (600 meters) before purposefully dropping a capsule carrying scientific experiments.

Following record-breaking rainfall, beachgoers in Australia are noticing dozens of unusual and vibrant creatures showing up on the beaches.

At the same time, the court gagged the petitioner against prosecuting the suit “in other forums”.

Meta Platforms Inc. (FB.O), the owner of Facebook, wanted court to throw out the suit arguing that it cannot be tried in Kenya. The company said that the local Employment and Labour Relations Court has no jurisdiction to hear the suit lodged by Daniel Motaung’, a South African national working in Nairobi.

By Joseph Wangui.

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Though it’s been around for nearly 3,500 years, scientists are still missing many basic facts about the disease.

Panelists: michael graziano, jonathan cohen, vasudev lal, joscha bach.

The seminal contribution “Attention is all you need” (Vasvani et al. 2017), which introduced the Transformer algorithm, triggered a small revolution in machine learning. Unlike convolutional neural networks, which construct each feature out of a fixed neighborhood of signals, Transformers learn which data a feature on the next layer of a neural network should attend to. However, attention in neural networks is very different from the integrated attention in a human mind. In our minds, attention seems to be part of a top-down mechanism that actively creates a coherent, dynamic model of reality, and plays a crucial role in planning, inference, reflection and creative problem solving. Our consciousness appears to be involved in maintaining the control model of our attention.

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