We’ve talked a lot about reversing aging and immortality through AI but does it REALLY POSSIBLE? Ray Kurzweil believes we can achieve immortality by 2029, and Bryan Johnson is already using AI to slow his biological age. Is this the future of human longevity?
Chapters:
Intro 0:00 — 1:09
Can We Stop Aging? 1:10 — 2:21
AI Could Reverse Aging Process 2:22 — 2:52
Blueprint Project 2:53 — 5:30
Longevity Escape Velocity 5:31 — 6:57
Scary Consequences 6:58 — 7:43
“ tabindex=”0” KAIST researchers have discovered a molecular switch that can revert cancer cells back to normal by capturing the critical transition state before full cancer development. Using a computational gene network model based on single-cell RNA
Ribonucleic acid (RNA) is a polymeric molecule similar to DNA that is essential in various biological roles in coding, decoding, regulation and expression of genes. Both are nucleic acids, but unlike DNA, RNA is single-stranded. An RNA strand has a backbone made of alternating sugar (ribose) and phosphate groups. Attached to each sugar is one of four bases—adenine (A), uracil (U), cytosine ©, or guanine (G). Different types of RNA exist in the cell: messenger RNA (mRNA), ribosomal RNA (rRNA), and transfer RNA (tRNA).
What if love could be programmed? AI companions are here, offering customizable relationships tailored to your every desire. From apps like Replika to futuristic VR partners, we explore the rise of AI girlfriends and their potential to redefine how we connect. Could this technology solve loneliness—or destroy real human relationships? And what would a world without women look like, with just AI partners and baby incubators? Dive into this provocative discussion and share your thoughts below!
#AIGirlfriends #FutureOfLove #AICompanions #DigitalRelationships #TechAndSociety #AIInnovation #VirtualReality #LonelinessSolutions #MenAndTech #EthicalAI
This Collection invites multidisciplinary groups to submit their research in Generative Artificial Intelligence for aging research and drug discovery.
From the Bronze age to the Industrial Revolution and beyond, the discovery and development of new materials has been a driving force in human history. These novel materials have helped advance technology and shape civilisations.
Today, we are at the beginning of a new era, where artificial intelligence (AI) seems to be in the perfect position to transform the search for useful materials. This looks set to completely change the approach to their investigation, creation and testing.
In ancient times, human civilisations experimented with natural resources to create tools and artifacts. The Bronze age, in the mid-4th millennium BC, was a significant milestone. Bronze, an alloy of copper and tin, led to the development of stronger tools and weapons, as well as advancements in agriculture and construction.
The first of the studies, carried out by Meta’s Fundamental Artificial Intelligence Research (FAIR) lab in Paris, collaborating with the Basque Center on Cognition, Brain and Language in San Sebastian, Spain, demonstrates the ability to decode the production of sentences from non-invasive brain recordings. Using magnetoencephalography (MEG) and electroencephalography (EEG), researchers recorded brain activity from 35 healthy volunteers as they typed sentences.
In today’s episode, William Hahn explores how Wolfram’s universal computation and Leibniz’s layered consciousness might converge in modern AI, potentially yielding a new evolutionary step in machine self-awareness.
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Rubin Gruber Sandbox (referenced by Will): https://www.fau.edu/sandbox.
Join My New Substack (Personal Writings): https://curtjaimungal.substack.com.
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OpenAI CMO Kate Rouch on the company’s ambition to build an iconic brand, the creative direction of its first big ad, and why it suited up for the Super Bowl.
To identify signs of particles like the Higgs boson, CERN researchers work with mountains of data generated by LHC collisions.
Hunting for evidence of an object whose behavior is predicted by existing theories is one thing. But having successfully observed the elusive boson, identifying new and unexpected particles and interactions is an entirely different matter.
To speed up their analysis, physicists feed data from the billions of collisions that occur in LHC experiments into machine learning algorithms. These models are then trained to identify anomalous patterns.
Researchers develop targeted polymersomes to enhance methotrexate delivery, offering a promising new approach for treating aggressive choriocarcinoma.
Study: ENT-1-Targeted Polymersomes to Enhance the Efficacy of Methotrexate in Choriocarcinoma Treatment. Image Credit: Shutterstock AI Generator / Shutterstock.com.
In a recent study published in Small Science, researchers develop targeted polymersomes loaded with methotrexate for the treatment of gestational choriocarcinoma, a rare and aggressive malignancy originating from the placenta.
