The coolest concept of 2022 might become more than a concept if this VP has his way.
The “iPhone moment for A.I.” hype takes many hues, but Nvidia is about the future of computing itself. NVIDIA DGX supercomputers, originally used as an AI research instrument, are now running 24/7 at businesses across the world to refine data and process AI.
While OpenAI gets a lot of the glory, I believe the credit should go to Nvidia. Launched late last year, ChatGPT went mainstream almost instantaneously, attracting over 100 million users, making it the fastest-growing application in history. “We are at the iPhone moment of AI,” Huang said. Nvidia makes about $6 to $7 Billion a fiscal quarter in revenue.
Nvidia said it’s offering a new set of cloud services that will allow businesses to create and use their own AI models based on their proprietary data and specific needs. The new services, called Nvidia AI Foundations, include three major components and are meant to accelerate enterprise adoption of generative AI: Enterprises can use Nvidia NeMo language service or Nvidia Picasso image, video and 3D service to gain access to foundation models that can generate text or images based on user inputs.
The Iron Fist Unleashed!
Posted in life extension
Senescent cells accumulate with age when one senescent cell turns another cell senescent through SASP secretion. New research is offering new hope for fighting this.
In a ground-breaking experiment, scientists have successfully created the fifth form of matter, known as the Bose-Einstein condensate (BEC), for a remarkable duration of six minutes.
This major accomplishment has the potential to revolutionize our understanding of quantum mechanics and open the door to new technological advancements. In this article, we will explore the significance of this achievement, the nature of BECs, and the potential applications of this newfound knowledge.
Scientists had a hard time reconstructing how complex molecular parts are being held together. However, that was before SISSA’s Cristian Micheletti and his team studied how the DNA double helix unzips when translocated at high velocity through a nanopore.
DNA Double Helix’s Unzipping
DNA has a double helix structure because it consists of two spiral chains of deoxyribonucleic acid. Its shape is reminiscent of a spiral staircase.
Our brains aren’t limited to producing just one type of brain wave at a time, but usually, one type is dominant, and the type it is can often be linked to your level of alertness: delta waves may dominate when you sleep, while gamma waves might dominate when you concentrate intensely.
The idea: Researchers have previously observed that people with Alzheimer’s — a devastating neurological disease affecting more than 6 million people in the US alone — may have weaker and less in-sync gamma waves than people who don’t have the disease.
In a series of past studies, MIT researchers demonstrated a deceptively simple way to increase the power and synchronization of these waves in mouse models of Alzheimer’s: expose the animals to lights flickering and/or sounds clicking at a frequency of 40 Hz.
Organoids are an incredible tool for research into the brain. Cerebral organoids are created by growing human stem cells in a bioreactor. They might be the key to unlocking the answers to many of our questions about the brain. We explain how they’re made and some of the discoveries they’ve helped with so far!
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REFERENCES:
Where 99% of mass comes from: https://youtu.be/KnbrRhkJCRk.
ElectroWeak Unification: https://youtu.be/u05VK0pSc7I
Symmetry Breaking: https://youtu.be/yzqLHiA0uFI
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Fresh on the heels of GPT-4’s public release, a team of Microsoft AI scientists published a research paper claiming the OpenAI language model — which powers Microsoft’s now somewhat lobotomized Bing AI — shows “sparks” of human-level intelligence, or artificial general intelligence (AGI).
Emphasis on the “sparks.” The researchers are careful in the paper to characterize GPT-4’s prowess as “only a first step towards a series of increasingly generally intelligent systems” rather than fully-hatched, human-level AI. They also repeatedly highlighted the fact that this paper is based on an “early version” of GPT-4, which they studied while it was “still in active development by OpenAI,” and not necessarily the version that’s been wrangled into product-applicable formation.
Disclaimers aside, though, these are some serious claims to make. Though a lot of folks out there, even some within the AI industry, think of AGI as a pipe dream, others think that developing AGI will usher in the next era of humanity’s future; the next-gen GPT-4 is the most powerful iteration of the OpenAI-built Large Language Model (LLM) to date, and on the theoretical list of potential AGI contenders, GPT-4 is somewhere around the top of the list, if not number one.