Researchers used artificial intelligence to predict the activity of thousands of genes in tumors based on routinely collected images of tumor biopsies. It could guide treatment without costly genomic tests.
Category: robotics/AI – Page 58
“Retrocausality” by Antonella Vannini and Ulisse Di Corpo Book Link: https://amzn.to/3X6UGhx.
“Time Loops: Precognition, Retrocausation, and the Unconscious” by Eric Wargo Book Link: https://amzn.to/4bdmWVV
“Psychology and Retrocausality: How the Future Determines Love, Memory, Evolution, Learning, Depression, Death, and What It Means to Be Human” by Mark Hatala Book Link: https://amzn.to/4k7kdBj.
The exploration of retrocausality challenges classical views of time and causality, suggesting that effects can precede their causes, influencing our understanding of quantum mechanics, consciousness, and free will. Retro causality offers potential resolutions to issues like non-locality in quantum physics by allowing communication between particles to travel backward in time, which could eliminate the need for higher dimensional configuration spaces and reconcile quantum theory with special relativity. Experimental investigations into retro-causality involve analyzing subtle effects, such as heart rate variations, and require careful methodologies to distinguish genuine retrocausal phenomena from experimental artifacts, while theoretical frameworks explore how retrocausality might address paradoxes and be compatible with concepts like time symmetry.
Thinkers in physics and philosophy are increasingly considering retrocausality as a potential framework to address foundational issues, including the measurement problem and the reconciliation of quantum mechanics with general relativity, potentially impacting our comprehension of time, causality, and the nature of reality itself. Discussions around retrocausality extend into areas like decision theory, existential risk, and the nature of consciousness, with some researchers exploring goal-oriented approaches and the potential for retrocausality to enhance artificial intelligence and our understanding of human cognition. Some notable scientists involved:
• Roger Penrose is noted for his views aligning with retrocausal concepts and his work on the science of consciousness with Stuart Hameroff.
• Yakir Aharonov is cited regarding time in quantum mechanics and weak value amplification.
• Ruth Kastner is mentioned in the context of retrocausality and the transactional interpretation of quantum mechanics.
• Hu Price’s work is at the center of the study of existential risk.
• Ken Wharton is a professor of physics and astronomy working on time-symmetric and causally neutral models of physics.
• Matthew Leifer is mentioned regarding block universe ontological models and frameworks for theories with retrocausality.
• Daniel Rohrlich is mentioned for his work on fundamental aspects of quantum mechanics and his views on retrocausality.
• Richard Feynman is mentioned in the context of interaction with the absorber as the mechanism of radiation.
• Simon Shnoll is mentioned for his work showing that the assumption of normal distribution is only mathematical, and that in life sciences and also in physics it is false.
• David Lucas is mentioned in the context of trapped-ion processing modules.
#Retrocausality #QuantumPhysics #TimeTravel #Physics #Science #Philosophy #Cosmology #Reality #Consciousness #MindBodyProblem #QuantumMechanics #Time Symmetry #Causality #Determinism #Parapsychology #time #physics #cosmology #Timelessness #PhilosophyofTime #Spacetime #GeneralRelativity #TimeCapsules #SuperstringTheory #aideepdive #InfiniteUniverse #podcast #synopsis #books #bookreview #science #quantumphysics #aiart #artificialintelligence #booktube #aigenerated #reality #videoessay #documentary
Mercor, An Artificial Intelligence Recruiting Startup Founded By 21-Year-Olds, Raises $100 Million At $2 Billion Valuation
Posted in business, finance, neuroscience, Peter Diamandis, quantum physics, robotics/AI | Leave a Comment on Mercor, An Artificial Intelligence Recruiting Startup Founded By 21-Year-Olds, Raises $100 Million At $2 Billion Valuation
In today’s AI news, Mercor, the AI recruiting startup founded by three 21-year-old Thiel Fellows, has raised $100 million in a Series B round, the company confirmed to TechCrunch. Menlo Park-based Felicis led the round, valuing Mercor at $2 billion — eight times its previous valuation. Existing investors Benchmark and General Catalyst, as well as DST Global and Menlo Ventures participated.
In other advancements, GPT-4.5 could arrive as soon as next week, as Microsoft gets ready to host OpenAI’s latest artificial intelligence models.
Microsoft engineers are currently readying server capacity for OpenAI’s upcoming GPT-4.5 and GPT-5 models. While OpenAI CEO Sam Altman acknowledged recently that GPT-4.5 will launch within a matter of weeks.
Then, OpenAI’s astounding growth rate potential is luring possible investors as questions loom over whether the startup will go public. “In terms of a multiple to pay for stock like ours, there’s incredible interest at the moment,” finance chief Sarah Friar told CNBC’s David Faber on Thursday. Its future growth potential has also enabled OpenAI to “achieve valuations that are on par with the growth rate of the scale” it is reaching.
S internal testing, it could mark a meaningful step forward for an all-purpose multimodal AI that can operate interactively in both real and digital spaces. + In videos, Figure is introducing Helix, a generalist Vision-Language-Action (VLA) model that unifies perception, language understanding, and learned control to overcome multiple longstanding challenges in robotics. A detailed report on Helix can be found in text accompanying the video.
Then, in this episode of Moonshots Peter Diamandis is joined by a panel of leaders in the session Transforming Business with AI: Opportunity or Overload? at Miami FII. Panelists include: Prem Akkaraju, CEO, Stability AI Ramin Hasani, Co-Founder & CEO, Liquid AI Jack Hidary, CEO, SandboxAQ Jim Keller, CEO, Tenstorrent Alexander Sukharevsky, Senior Partner & Managing Partner, QuantumBlack, AI, McKinsey & Company.
Meanwhile, AI is evolving into a mysterious new form of intelligence — powerful yet flawed, capable of remarkable feats but still far from human-like reasoning and efficiency. To truly understand it and unlock its potential, we need a new science of intelligence that combines neuroscience, AI and physics, says neuroscientist and Stanford professor Surya Ganguli.
Meet BioEmu-1 from Microsoft Research. This deep learning model can generate thousands of protein structures per hour, unlocking new possibilities for protein scientists and drug discovery and research.
Joint research demonstrating the ability to readout superconducting qubits with an optical transducer was published in Nature Physics.
Quantum computing has the potential to drive transformative breakthroughs in fields such as advanced material design, artificial intelligence, and drug discovery. Of the quantum computing modalities, superconducting qubits are a leading platform towards realizing a practical quantum computer given their fast gate speeds and ability to leverage existing semiconductor industry manufacturing techniques.
However, fault-tolerant quantum computing will likely require 10,000 to a million physical qubits. The sheer amount of wiring, amplifiers and microwave components required to operate such large numbers of qubits far exceeds the capacity of modern-day dilution refrigerators, a core component of a superconducting quantum computing system, in terms of both space and passive heat load.
AI agents have transformative potential for businesses, but implementing them effectively will take time and care. Here’s how to get started.
We knew this day would come. For years now, scientists have been trying to make Westworld a reality with their advances in android robots.
From lab-grown muscle tissue to robots with bones, ligaments and tendons, android robots have rapidly been getting more and more lifelike.
Now, a company named Clone Robotics has created something they are calling the Protoclone – a “faceless, anatomically accurate, synthetic human with over 200 degrees of freedom, over 1,000 Myofibers, and over 200 sensors.” Sound terrifying? Just wait until you see video of it twitching and spasming its way into action.
Simply outstanding progress with humanoid bots. I really like Figure — they seem to be making really good progress.
We’re introducing Helix, a generalist Vision-Language-Action (VLA) model that unifies perception, language understanding, and learned control to overcome multiple longstanding challenges in robotics.
Here’s a detailed report on Helix: https://www.figure.ai/news/helix
Incyte will partner with Genesis Therapeutics to research, discover, and develop small molecule treatments through a collaboration that could generate at least up to $620 million for Genesis, an artificial intelligence (AI)-based drug developer.
The companies have agreed to discover and optimize at least two initial small molecule programs through Genesis’s AI platform, Genesis Exploration of Molecular Space (GEMS). GEMS is designed to generate and optimize molecules for complex targets by integrating proprietary AI methods that include language models, diffusion models, and physical machine learning (ML) simulations.
Incyte has been granted exclusive rights for potential clinical development and commercialization of the products to be developed through the collaboration.
The lead researcher has told the BBC he was so astounded he assumed his computer had been hacked.