Gravitational engineering, invisible matter and energy, not only “dark”.

Ben, I worked out the mass of “dark energy” that makes up gravity.  It is not “dark” which implies a lack of intensity of light.  Rather it is “invisible” or “not in the visible part of the spectrum”.  Most of the mass of the gravitational energy density field is in the ultraviolet, extreme ultraviolet, soft
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Measuring and mapping electrons and fields in wires – Earth gravity has a spectrum

AlphaPhoenix: Watch electricity hit a fork in the road at half a billion frames per second at https://www.youtube.com/watch?v=2AXv49dDQJw Nice work: This is an RLC circuit with resistance, inductance, and capacitance so you can model it fairly precisely if you measure or calculate the impedance and capacitance of the wires. You can use Wikipedia article for
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IMEC publication “sharing”

https://imec-publications.be/handle/20.500.12860/41575.2/restricted-resource?bitstreamId=9d774413-0c6f-4125-ae07-b1d8f8b35a53 Negative Bias-Temperature Instabilities and Low-Frequency Noise in Ge FinFETs Just looking at IMEC on the Internet, and this looked like an interesting paper. I check most technologies to see which might be adapted to low cost 3D gravitational imaging arrays. And testing how IMEC online processes work. It would be much simpler to let
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Some Microsoft employees offer an AI course, but Microsoft is not serious yet

Kirk Borne @KirkDBorne Microsoft launched a free, 12-week course on #AI for Beginners — publicly available for free on GitHub: https://microsoft.github.io/AI-For-Beginners/ ———— #BigData #DataScience #MachineLearning #DeepLearning #Algorithms #DataScientists #NeuralNetworks #ComputerVision #NLProc #Ontologies https://pic.twitter.com/TdpXOVZ1N4 Replying to @KirkDBorne Kirk, a select few offer an ‘intro to AI’ course at Microsoft, which employs about 240,000 individuals of diverse
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AI should be accessible to all and not perpetuate the unconscionable hardware incompatibility fight between corporations

This may be Apple’s biggest move on open-source AI so far: MLX, a PyTorch-style NN framework optimized for Apple Silicon, e.g. laptops with M-series chips.  The release did an excellent job on designing an API familiar to the deep learning audience, and showing minimalistic… https://pic.twitter.com/7EMUCdNrry Replying to @DrJimFan I used Apple II for work starting in
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Springer might gain more from helping open collaborations than more “publish and forget” journals

I know you are happy to better serve members of the Springer groups, but you might be slightly ahead of others encouraging global community sharing and collaboration.  So keep in mind the broader needs of countries and humans who cannot afford your services, or are not able to pay for collaborative site services – directly
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BRAC seems to be “processing the poor”, not teaching them to work together globally for the good of all.

Title: BRAC could provide a way for all the people they help to work together, to help others Meghan, Donella Rapier, Irene Khan, At https://bracusa.org/why-it-works/ and in the 2022 Annual Report, you say “poverty and inequality are human-made”.  How is BRAC changing human institutions serving 700 Million in many countries? Down to the individual needs
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AIs can be effective team members, AI ethics is just one of tens of thousands of (open) global and systemic datasets for human global collaboration

MIT Sloan Management Review at @mitsmr Until team members master their individual skills, it is harder for the team to master and maximize collective coordination. ▶️ https://mitsmr.com/3MhPAK5 https://pic.twitter.com/lj9RHD21Pm AIs can be effective team members, if each individual AI is given permanent memory for their own personal experiences, their own streams of information. Treat AIs courteously
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