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For those of us who have done a bit of homework on space, and have a basic understanding of the properties of light and gravity, we may feel like have a lot of the answers. These two things have a huge impact on the known universe, as well as our conception of it.

However, the interaction of these two fundamental aspects of space gets a bit confusing.

We have heard adages like nothing can escape the gravitational pull of a black hole, and we often think of black holes as cosmic vacuum cleaners that can suck up entire galaxies and anything else that has mass. We also think of light as being composed of massless photons, and as the fastest-moving thing in the universe – moving at roughly 300,000 km/second.

Pfizer says it has enough promising data on its respiratory syncytial virus, or RSV, vaccine designed to protect newborns that it will end enrollment in the study and submit for US Food and Drug Administration approval by the end of the year.

RSV is a common respiratory virus that typically causes mild, cold-like symptoms, but it can cause serious illness, particularly in older adults and infants. Pfizer’s vaccine candidate is administered to pregnant women who then make antibodies that cross the placenta and protect the baby after birth.

“The [study data monitoring committee] recommended, based on the data that we have, that we should go ahead and file, that this offers the potential for a safe and effective vaccine that could really dramatically help to prevent RSV during the winter season,” Dr. William Gruber, Pfizer’s senior vice president of vaccine clinical research and development, told CNN.

Their research was published Sept. 26 in the journal Optics Express.

The five in question aren’t new or hidden . Instead, a team headed by Tingting Wu, a Ph.D. student in the McKelvey School of Engineering’s imaging sciences program, was able to design a system that could tell the orientation of a molecule in 3D space as well as its position in 2D: five parameters from a single, noisy, pixelated image.

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Our Universe is billions of years older than our planet, and we often contemplate alien civilizations that might have arisen early than us in our galaxy, but just how early could life have arisen?

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A black hole x-ray binary (XRB) system forms when gas is stripped from a normal star and accretes onto a black hole, which heats the gas sufficiently to emit x-rays. We report a polarimetric observation of the XRB Cygnus X-1 using the Imaging X-ray Polarimetry Explorer. The electric field position angle aligns with the outflowing jet, indicating that the jet is launched from the inner x-ray emitting region. The polarization degree is 4.01 ± 0.20% at 2 to 8 kiloelectronvolts, implying that the accretion disk is viewed closer to edge-on than the binary orbit. The observations reveal that hot x-ray emitting plasma is spatially extended in a plane perpendicular to the jet axis, not parallel to the jet.

Large Language Models have the ability to store vast amounts of facts about the world. But little is known, how these models actually do this. This paper aims at discovering the mechanism and location of storage and recall of factual associations in GPT models, and then proposes a mechanism for the targeted editing of such facts, in form of a simple rank-one update to a single MLP layer. This has wide implications both for how we understand such models’ inner workings, and for our ability to gain greater control over such models in the future.

OUTLINE:
0:00 — Introduction.
1:40 — What are the main questions in this subfield?
6:55 — How causal tracing reveals where facts are stored.
18:40 — Clever experiments show the importance of MLPs.
24:30 — How do MLPs store information?
29:10 — How to edit language model knowledge with precision?
36:45 — What does it mean to know something?
39:00 — Experimental Evaluation & the CounterFact benchmark.
45:40 — How to obtain the required latent representations?
51:15 — Where is the best location in the model to perform edits?
58:00 — What do these models understand about language?
1:02:00 — Questions for the community.

Paper: https://arxiv.org/abs/2202.05262
Follow-up paper on Mass-Editing Memory in a Transformer: https://arxiv.org/abs/2210.

Abstract:

“China was leading the global recovery after the Covid-19 pandemic and accounted for half of worldwide robot installations in 2021,” said Marina Bill, President of the International Federation of Robotics. “Growth is strong across all industries with electrical and electronics being the dominant sector – up 30% to 81,600 installations. The automotive industry also showed a strong recovery. This was mainly driven by electric vehicle manufacturing in China. It rose by 89% in 2021 with 50,700 installations.”

Chinese government supports robotic automation

In China aging population’s demographics causes shortage of labor and drives the growth of robotic automation. The continued robotization of industries has been announced earlier this year by the government. The Five-Year plan for the robotics industry, released by the Ministry of Industry and Information Technology (MIIT) in Beijing, focuses on promoting innovation — making China a global leader of robot technology and industrial advancement.