LG Innotek introduced Copper Post packaging technology, which replaces traditional solder balls in semiconductor substrates, enabling slimmer, denser, and cooler smartphone designs.
The potential of chat gpt and neural link is limitless. Really chat gpt with agi would automate even an entire world and even do all work by itself basically taking the forever mental labor of work forever scenario away from humans so we can sit and drink tea or other leisure activities. Then if we miniaturize even chat gpt, neural link, and agi all in one whether it is in the neural link or even on a smartphone it could allow for near infinite money đ” with little to no effort which takes away mental labor forever because we could solve anything or do all jobs with no need for even training it would be like an everything calculator for an eternity of work so no humans need suffer the dole of forever mental labor which can evolve earths civilization into complete abundance.
We spoke to two people pioneering ChatGPTâs integration with Synchronâs brain-computer-interface to learn what itâs like to use and where this technology is headed.
Read more on CNET: How This Brain Implant Is Using ChatGPT https://bit.ly/3y5lFkD
0:00 Intro.
0:25 Meet Trial Participant Mark.
0:48 What Synchronâs BCI is for.
1:25 What itâs like to use.
1:51 Why work with ChatGPT?
3:05 How Synchronâs BCI works.
3:46 Synchronâs next steps.
4:27 Final Thoughts.
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For consumers worried about the risks associated with using lithium-ion batteriesâwhich are used in everything from phones to laptops to electric vehiclesâMichigan State University has discovered that a natural material found in wood can improve battery safety while also improving the batteryâs life.
Chengcheng Fang, assistant professor in the College of Engineering, and Mojgan Nejad, an associate professor in the College of Agriculture and Natural Resources, collaborated to engineer lignin, a natural ingredient of wood that provides support and rigidity, into a thin film separator that can be used inside lithium-ion batteries to prevent short circuits that can cause a fire.
âWe wanted to build a better battery,â said Fang. âBut we also wanted it to be safe, efficient and sustainable.â
A USA company is producing nano-sulfide solid-electrolyte powders for use in batteries.
How reliable is artificial intelligence, really? An interdisciplinary research team at TU Wien has developed a method that allows for the exact calculation of how reliably a neural network operates within a defined input domain. In other words: It is now possible to mathematically guarantee that certain types of errors will not occurâa crucial step forward for the safe use of AI in sensitive applications.
From smartphones to self-driving cars, AI systems have become an everyday part of our lives. But in applications where safety is critical, one central question arises: Can we guarantee that an AI system wonât make serious mistakesâeven when its input varies slightly?
A team from TU WienâDr. Andrey Kofnov, Dr. Daniel Kapla, Prof. Efstathia Bura and Prof. Ezio Bartocciâbringing together experts from mathematics, statistics and computer science, has now found a way to analyze neural networks, the brains of AI systems, in such a way that the possible range of outputs can be exactly determined for a given input rangeâand specific errors can be ruled out with certainty.
Year 2013 face_with_colon_three Basically this is the light based nanotransfection version that can eventually be put on a simple smartphone or smartwatch that can be an entire hospital in one touch healing the entire body in one touch or just areas that need healing.
Antkowiak, M., Torres-Mapa, M., Witts, E. et al. Sci Rep 3, 3,281 (2013). https://doi.org/10.1038/srep03281
Researchers have discovered a modern solution to detect vault applications (apps) on smartphones, which could be a game-changer for law enforcement. The paper is published in the journal Future Internet.
The analysis, led by researchers from Edith Cowan University (ECU) and University of Southern Queensland, demonstrates that machine learning (ML) can be used to effectively identify vault apps.
Smartphones are an integral part of daily life, used by an estimated 5 billion people around the world.
A new mobile crypto-stealing malware called SparkKitty was found in apps on Google Play and the Apple App Store, targeting Android and iOS devices.
The malware is a possible evolution of SparkCat, which Kaspersky discovered in January. SparkCat used optical character recognition (OCR) to steal cryptocurrency wallet recovery phrases from images saved on infected devices.
When installing crypto wallets, the installation process tells users to write down the walletâs recovery phrase and store it in a secure, offline location.