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Category: robotics/AI – Page 850

Apple Is Exploring Storing Large Language Models (LLMs) On Flash Storage To Seamlessly Bring The Technology To Phones, Laptops

Large Language Models (LLMs) are exceptionally resource-intensive on the CPU and memory, but Apple is said to be experimenting with storing this technology on flash storage, likely to make it easily accessible on multiple devices. However, the technology giant also wishes to make LLMs ubiquitous on its iPhone and Mac lineup and is exploring ways to make this possible.

Storing LLMs on flash memory has been difficult; Apple aims to fix this on machines with limited capacity

Under typical conditions, Large Language Models require AI accelerators and a high DRAM capacity to be stored. As reported by TechPowerUp, Apple is working to bring the same technology, but to devices that sport limited memory capacity. In a newly published paper, Apple has published a paper that aims to bring LLMs to devices with limited memory capacity. iPhones have limited memory too, so Apple researchers have developed a technique that uses flash chips to store the AI model’s data.

This AI says it’s conscious and experts are starting to agree. w Elon Musk

Elon Musk and “conscious AI.” Please visit https://brilliant.org/digitalengine — a great place to learn about AI and STEM subjects. You can get started for free and the first 200 people will get 20% off a premium annual subscription.

Thanks to Brilliant for sponsoring this video.

I used GPT-3 and a Synthesia avatar. All answers are by GPT-3 (except the brief joke at the end).

For a deeper drive, I’d recommend the book Life 3.0, by MIT Professor Max Tegmark.

Sources.

Continue reading “This AI says it’s conscious and experts are starting to agree. w Elon Musk” | >

Finally!! SpaceX Conducts New Starship Hardware Test! — SpaceX Weekly #94

This week at Starbase Booster 10 joins Ship 28 at the launch site to begin its testing on the orbital launch mount, Ship 28 performs a static fire test, and SpaceX shows off its holiday spirit, while over at Cape Canaveral, Starlink launch and recovery operations continue as several tanks and a prefabricated tower section are shipped out to Brownsville.\
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Did OpenAI Secretly Create a Brain-Like Intelligence After All?

Earlier this year, OpenAI’s CEO Sam Altman sent the tech world into a frenzy with a five-word Reddit post: “AGI has been achieved internally.”

AGI stands for Artificial General Intelligence. It’s the holy grail of AI research. Essentially, true AGI would be a brain-like intelligence capable of reasoning, creative thought, and perhaps even consciousness.

Altman posting about achieving AGI was a huge deal — it would be akin in its importance to a top scientist posting “Fusion works,” or Donald Trump posting “I’m not running.”

New carbon material sets energy-storage record, likely to advance supercapacitors

Guided by machine learning, chemists at the Department of Energy’s Oak Ridge National Laboratory designed a record-setting carbonaceous supercapacitor material that stores four times more energy than the best commercial material. A supercapacitor made with the new material could store more energy—improving regenerative brakes, power electronics and auxiliary power supplies.

“By combining a data-driven method and our research experience, we created a with enhanced physicochemical and electrochemical properties that pushed the boundary of energy storage for carbon supercapacitors to the next level,” said chemist Tao Wang of ORNL and the University of Tennessee, Knoxville.

Wang led the study, titled “Machine-learning-assisted material discovery of oxygen-rich highly active materials for aqueous supercapacitor” and published in Nature Communications, with chemist Sheng Dai of ORNL and UTK.

Brain distributes signals differently before real and imaginary movement: Study

Scientists have established how the activity of our brain during imaginary movement differs from that during real action. It turns out that in both cases, a previous signal occurs in the cerebral cortex, but with an imaginary movement, it does not have a clear link to a specific hemisphere.

The obtained data can potentially be used in to create neuro trainers and control the restoration of neural networks in post-stroke patients. The results of the study are published in the journal Cerebral Cortex.

Before we pick up a pen or put down a cup, a complete picture of this action is formed in the . Such visual– transformations ensure the accuracy of our movements. Knowing about these mechanisms helps patients to restore motor activity after strokes. But we don’t always finish the movement we started. In this case, visual information enters the motor areas of the responsible for movement, but the start of the reaction is blocked at some point, and does not end with real muscle activation.

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