Toggle light / dark theme

Former Google engineer predicts humans will achieve immortality within eight years

One can only hope.


A former Google engineer has just predicted that humans will achieve immortality in eight years, something more than likely considering that 86% of his 147 predictions have been correct.

Ray Kurzweil visited the YouTube channel Adagio, in a discussion on the expansion of genetics, nanotechnology and robotics, which he believes will lead to age-reversing ‘nanobots’.

These tiny robots will repair damaged cells and tissues that deteriorate as the body ages, making people immune to certain diseases such as cancer.

NVIDIA Reveals REVOLUTIONARY AI — Better Than GPT-4 And Midjourney V5

I dunno if anyone has seen this. As a former Linux user, I’ve been an Nvidia fan for a long time and now they’ve gone on from games and Bitcoin mining. Sorry if this is a double post. I’m on my way out the door for my mom’s Dr appointment. I always worry I’ll double post by accident.


NVIDIA’s Jensen Huang just announced a set of revolutionary new Artificial Intelligence Models and Partnerships at GTC 2023. NVIDIA has always been one of, if not the most important company in the AI Industry by creating the most powerful AI hardware to date. Among them the A100 and future H100 GPU’s which are powering GPT-4 from OpenAI, Midjourney and everyone else. This gives them a lot of power to jump into the AI race themselves and allows them to surpass and beat the currently best AI models from Large Language Models and Image Generation with software like Omniverse and Hardware like the DGX H100 Supercomputer and Grace CPU’s.

TIMESTAMPS:
00:00 NVIDIA enters the AI Industry.
01:43 GTC 2023 Announcements.
04:48 How NVIDIA Beat Every Competitor at AI
07:40 Running High End AI Locally.
10:20 What is NVIDIA’s Future?
13:05 Accelerating Future.

Technology is improving at an almost exponential rate. Robots are learning to walk & think, Brain Computer Interfaces are becoming commonplace, new Biotechnology is allowing for age reversal and Artificial Intelligence is starting to surpass humans in many areas. Follow FutureNET to always be up to date on what is happening in the world of Futuristic Technology and Documentaries about humanities past achievements.

#nvidia #ai #gtc

Machines on Genes through the Computational Microscope

Macromolecular machines acting on genes are at the core of life’s fundamental processes, including DNA replication and repair, gene transcription and regulation, chromatin packaging, RNA splicing, and genome editing. Here, we report the increasing role of computational biophysics in characterizing the mechanisms of “machines on genes”, focusing on innovative applications of computational methods and their integration with structural and biophysical experiments. We showcase how state-of-the-art computational methods, including classical and ab initio molecular dynamics to enhanced sampling techniques, and coarse-grained approaches are used for understanding and exploring gene machines for real-world applications.

PASTE, Don’t Cut: Genome Editing Tool Looks Beyond CRISPR and Prime

A recently patented genome editing tool called PASTE holds genuine promise for expanding the universe of treatable genetic diseases. The approach combines elements of CRISPR and prime editing with a pair of enzymes designed to enable the integration of large segments of DNA without incurring double-stranded DNA breaks.

U.S. Patent No. 11,572,556, assigned to MIT, covers systems, methods, and compositions for programmable addition via site-specific targeting elements (PASTE). The patent describes site-specific integration of a nucleic acid into a genome, using a CRISPR–Cas9 nickase fused to a reverse transcriptase (RT) and a serine integrase. These enzymes target specific genome sequences known as attachment sites, binding to them before integrating their DNA payload.

PASTE can insert DNA fragments as large as 50,000 base pairs, which puts it on a different plane compared to other genome editing tools such as prime editing.

Cultured meat firm resurrects woolly mammoth in lab-grown meatball

Vow, an Australian cultivated food company that creates meat in a laboratory setting from animal cells, says that it has used advanced molecular engineering to resurrect the woolly mammoth in meatball form, by combining original mammoth DNA with fragments of an African elephant’s DNA.

James Ryall, Vow’s chief science officer, said that the company first identified the mammoth myoglobin, a protein that is key to giving meat its color and taste, and then used publicly available data to identify the DNA sequence in mammoths.


Australian company Vow says it has used advanced molecular engineering to resurrect the woolly mammoth in meatball form.

Caltech Engineers Have Developed an Unusually Tough New Material

Caltech engineers have made a significant breakthrough in the field of nano-and micro-architected materials by creating a novel material composed of multiple interconnected microscale knots.

Compared to structurally identical but unknotted materials, the presence of knots in this new material significantly enhances its toughness by enabling it to absorb more energy and deform more before returning to its original shape without any damage. These new knotted materials may find applications in biomedicine as well as in aerospace applications due to their durability, possible biocompatibility, and extreme deformability.

“The capability to overcome the general trade-off between material deformability and tensile toughness [the ability to be stretched without breaking] offers new ways to design devices that are extremely flexible, durable, and can operate in extreme conditions,” says former Caltech graduate student Widianto P. Moestopo (MS ‘19, Ph.D. ’22), now at Lawrence Livermore National Laboratory. Moestopo is the lead author of a paper on the nanoscale.

Neurotech’s Battles Impact Our Brains’ Future

Nita Farahany, professor of law and philosophy at Duke University, has written a new book, The Battle for Your Brain: Defending the Right to Think Freely in the Age of Neurotechnology (Macmillan), which explores how our lives may be impacted by the use of brain-computer interfaces and neural monitoring devices.

Farahany argues that the development and use of neurotech presents a challenge to our current understanding of human rights. Devices designed to measure, record, and influence our mental processes—used by us or on us—may infringe on our rights to mental privacy, freedom of thought, and mental self-determination. She calls this collection of freedoms the right to cognitive liberty. IEEE Spectrum spoke with Farahany recently about the future and present of neurotech and how to weigh its promises—enhanced capabilities, for instance, including bionics and prosthetics and even a third arm —against its potential to interfere with people’s mental sovereignty.

portrait of a smiling woman on a white background
Author, Nita FarahanyMerritt Chesson.

Exploring a massive supercomplex in mitochondria comprising all four respiratory complexes

😗


Eukaryotes generate the energy for survival through cellular respiration in mitochondria by a process known as the oxidative phosphorylation. In this process, nutrients and oxygen are converted into a chemical form of energy: ATP. This is achieved with a proton gradient built up by the electron transport chain inside mitochondria.

The gradient is driven by a series of four respiratory complexes in the inner mitochondrial . A new study published in Nature combined tomography and molecular simulations to shed light on bioenergetic macro-assemblies and how they shape mitochondrial membranes. It identified that in Tetrahymena thermophila—a free-living single cell eukaryote found in ponds and lakes—all four respiratory complexes are associated.

They form a massive 5.8 megadalton supercomplex of 150 proteins with at least 300 transmembrane helices and 311 lipids. Owing to subunit acquisition and extension, Complex I binds a dimer of Complex III that is tilted by 37 degrees. Complex I also associates with the Complex IV dimer, generating a gap that serves as a for Complex II.

/* */