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There is a competition among technology companies to develop a humanoid robot that can perform various tasks, and one particular company, “Figure,” is at the forefront of this race.

A humanoid general-purpose robot is a robot that can mimic human actions and interact with the environment in a human-like way. This type of robot has the potential to perform various tasks, such as cooking, cleaning, and assisting people with disabilities.

The race to develop such robots is driven by the potential to revolutionize various industries, including manufacturing, healthcare, and retail. A successful humanoid robot could replace human workers in hazardous or repetitive tasks, increase productivity, and reduce costs.

The fact that “Figure” is leading this race suggests that they have made significant progress in developing a humanoid general-purpose robot. It is possible that they have developed new technology or software that gives them an advantage over their competitors.

Wondering if artificial intelligence will be taking your job anytime soon? We’re sure we speak for a lot of folks when we say: same.

Considering that AI is literally designed to model human capabilities and thus automate human tasks, it’s a fair question — and one that a group of professors from New York University (NYU), Princeton, and the University of Pennsylvania (UPenn) may have just helped to shed a little bit of light on in a new paper, aptly titled “How Will Language Modelers like ChatGPT Affect Occupations and Industries?”

Though the paper has yet to be peer-reviewed, the results are fascinating, not to mention ominous — especially, of course, for the folks most at risk.

An international team of researchers, including those from the University of Tokyo’s Institute for Solid State Physics, has made a groundbreaking discovery. They have successfully demonstrated the use of a single molecule named fullerene as a switch, similar to a transistor. The team achieved this by employing a precisely calibrated laser pulse, which allowed them to control the path of an incoming electron in a predictable manner.

The switching process enabled by fullerene molecules can be significantly faster than the switches used in microchips, with a speed increase of three to six orders of magnitude, depending on the laser pulses utilized. The use of fullerene switches in a network could result in the creation of a computer with capabilities beyond what is currently achievable with electronic transistors. Additionally, they have the potential to revolutionize microscopic imaging devices by providing unprecedented levels of resolution.

Over 70 years ago, physicists discovered that molecules emit electrons in the presence of electric fields, and later on, certain wavelengths of light. The electron emissions created patterns that enticed curiosity but eluded explanation. But this has changed thanks to a new theoretical analysis, the ramification of which could not only lead to new high-tech applications but also improve our ability to scrutinize the physical world itself.

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Reliable carbon-free power for the world — michelle catts, senior vice president, nuclear programs, ge-hitachi nuclear energy.


Michelle Catts is the Senior Vice President of Nuclear Programs at GE-Hitachi (GEH — https://nuclear.gepower.com/) located in Wilmington, NC.

Ms. Catts has over 18 years of demonstrated managerial and technical expertise in nuclear Regulatory Affairs and currently is responsible for ensuring world-class Quality, Continuous Improvement, Regulatory Affairs, and oversight of Environment, Health & Safety programs. She manages a multimillion-dollar budget and over a 30-member organization. She provides licensing and quality leadership and guidance to support nuclear fuel facility licensing, current nuclear fleet fuel reload/outage licensing activities, new reactor and new fuel opportunities, Technical Regulations and Standards, and GE-Hitachis’s Vallecitos and Morris sites.

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The goal of brain imaging is to provide in-vivo measures of the human brain to better understand how the brain is structured, connected and functions.
In this talk, we will discuss how to analyze brain imaging data in order to make sense of the large amount of data that comes out of the scanner.

👤 **About the speaker**

[Dr. Camille Maumet](https://twitter.com/cmaumet) is a research scientist in neuroinformatics at Inria, Univ Rennes, CNRS, Inserm in Rennes, France.

Reports say that the Nokia Magic Max will come in three different memory configurations. We will have 8GB, 12GB and 16GB of RAM with 256GB and 512GB storage options. It will launch with Android 13 out of the box with Snapdragon 8 Gen 2 SoC under the hood. We may also see a 6.7-inch AMOLED display with 120Hz refresh rate on the device. Corning Gorilla Glass 7 protection could be on the display of the upcoming flagship device from Nokia.

The device will feature a triple camera setup on the back with 144MP main sensor, 64MP ultrawide and 48MP Telephoto lens. Rumors have suggested a massive 7950mAh battery which can also charge from 0 to 100 within a few minutes, thanks to the 180W fast charger.

The memory configurations will determine the price of each variant. Nevertheless, sources have suggested the starting price to be around $550 (INR44,900). There is no firm rumor with respect to the launch date, but we expect to see the launch of the Nokia Magic Max in a matter of few weeks.