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Blog – Page 2271

Philosophy of science.

We call it perception. We call it measurement. We call it analysis. But in the end it’s about how we take the world as it is, and derive from it the impression of it that we have in our minds.

We might have thought that we could do science “purely objectively” without any reference to observers or their nature. But what we’ve discovered particularly dramatically in our Physics Project is that the nature of us as observers is critical even in determining the most fundamental laws we attribute to the universe.

But what ultimately does an observer—say like us—do? And how can we make a theoretical framework for it? Much as we have a general model for the process of computation —instantiated by something like a Turing machine —we’d like to have a general model for the process of observation: a general “observer theory”

Continue reading “Observer Theory” | >

At its core, Abundance360 is a year-round program for entrepreneurs, investors, and executives who want to create positive change. It offers them a unique opportunity to unlock their potential and access the latest technologies, tools, and connections needed to succeed in today’s world.

In addition to the Summit, Workshops, and Masterminds, members benefit from the support of a close-knit community of like-minded individuals who share the goal of creating a better future for humanity.

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In work that could lead to more robust quantum computing, Princeton researchers have succeeded in forcing molecules into quantum entanglement.

For the first time, a team of Princeton physicists has been able to link together individual molecules into special states that are quantum mechanically “entangled.” In these bizarre states, the molecules remain correlated with each other—and can interact simultaneously—even if they are miles apart, or indeed, even if they occupy opposite ends of the universe. This research was published in the journal Science.

Molecular entanglement: a breakthrough for practical applications.

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Summary: Researchers created a revolutionary system that can non-invasively convert silent thoughts into text, offering new communication possibilities for people with speech impairments due to illnesses or injuries.

The technology uses a wearable EEG cap to record brain activity and an AI model named DeWave to decode these signals into language. This portable system surpasses previous methods that required invasive surgery or cumbersome MRI scanning, achieving state-of-the-art EEG translation performance.

It shows promise in enhancing human-machine interactions and in aiding those who cannot speak, with potential applications in controlling devices like bionic arms or robots.

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Cerebras introduces gigaGPT: GPT-3 sized models in 565 lines of code.

GigaGPT is Cerebras’ implementation of Andrei Karpathy’s nanoGPT – the simplest and most compact code base to train and fine-tune GPT models. Whereas nanoGPT can train models in the 100M parameter range, gigaGPT trains models well over 100B parameters. We do this without introducing additional code or relying on third party frameworks – the entire repo is just 565 lines of code. Instead gigaGPT utilizes the large memory and compute capacity of Cerebras hardware to enable large scale training on vanilla torch.nn code. With no modifications, gigaGPT supports long context lengths and works with a variety of optimizers.

Why gigaGPT

While the transformer architecture is simple, training a large transformer on a large number of GPUs is hard. Beyond a few billion parameters, vanilla GPT models run out of memory on even the latest GPUs. Training larger models requires breaking up models into smaller pieces, distributing them to multiple GPUs, coordinating the workload among the workers, and assembling the results. This is typically done via LLM scaling frameworks such as Megatron, DeepSpeed, NeoX, Fairscale, and Mosaic Foundry. Though powerful, these frameworks introduce significant complexity.

Continue reading “Introducing gigaGPT: GPT-3 sized models in 565 lines of code” | >

Q-day (the day when quantum computers will successfully actually break the internet) may be some time away yet. However, that does not mean that companies — and states — shouldn’t hop on the qubit bandwagon now so as not to be left behind in the race for a technology that could potentially alter how we think about life, the Universe, and well… everything.

Spurred on by a discourse that more and more revolves around the concept of “digital sovereignty,” 11 EU member states this week signed the European Declaration on Quantum Technologies.

The signatories have agreed to align, coordinate, engage, support, monitor, and all those other international collaboration verbs, on various parts of the budding quantum technology ecosystem. They include France, Belgium, Croatia, Greece, Finland, Slovakia, Slovenia, Czech Republic, Malta, Estonia, and Spain. However, the coalition is still missing some quantum frontrunners, such as the Netherlands, Ireland, and Germany, who reportedly opted out due to the short time frame.

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Lymphatic fluid from surgical drains, which is usually tossed in the trash, is a treasure in the hands of University of Pittsburgh and Washington University School of Medicine in St. Louis researchers who found that this liquid could inform more precise treatments for patients with head and neck cancer caused by human papillomavirus (HPV).

The new study, published in Clinical Cancer Research, shows for the first time that HPV DNA in lymphatic fluid collected after surgery is a powerful biomarker that could predict risk of cancer recurrence and help clinicians decide whether to ramp up adjuvant therapies or safely de-escalate treatment for patients with HPV-positive head and .

“Over the last decade, there has been emerging interest in liquid biopsy to pick up cancer recurrences after treatment,” said senior author José P. Zevallos, M.D., M.P.H., professor and Eugene N. Myers, chair of the Department of Otolaryngology at the Pitt School of Medicine and UPMC Hillman Cancer Center. “Our goal was to bring liquid biopsy into the curative pathway for head and neck cancer so that we can use it not just to find recurrences but also to help make treatment decisions.”

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