Category: Artificial Intelligence
- Dr. Google: How Google’s new AI could revolutionize medicine ()
It’s 2040. You’re at your doctor’s office, and you just tested positive for that disease that killed your uncle. Just 10 years ago, the news would’ve been devastating, but in this hypothetical future, your doctor is able to prescribe a highly effective treatment — thanks to Google. Discovering drugs with AI Google might not be […]
- 16 lab-grown brains run world’s first ‘living computer’ in Switzerland ()
While training AI models consumes 6,000 times more than a European city, bioprocessor promise drastic savings in energy expenditures. Swiss technology firm Final Spark has successfully launched Neuroplatform, the world’s first bioprocessing platform where human brain organoids (lab-grown miniaturized versions of organs) perform computational tasks instead of silicon chips. The first such facility hosts the […]
- This AI Just Designed a More Precise CRISPR Gene Editor for Human Cells From Scratch ()
CRISPR has revolutionized science. AI is now taking the gene editor to the next level. Thanks to its ability to accurately edit the genome, CRISPR tools are now widely used in biotechnology and across medicine to tackle inherited diseases. In late 2023, a therapy using the Nobel Prize-winning tool gained approval from the FDA to treat sickle […]
- AI Can Now Read Your Daydreams!!! ()
Summary: Researchers developed methods to predict emotions in spontaneous thoughts using fMRI and machine learning. They crafted personalized narratives that participants read while their brain activity was monitored, aiming to decode the emotional dimensions of thoughts. By analyzing fMRI data, the team identified key brain regions involved in processing personal relevance and emotional valence. Their […]
- NVIDIA’s last week summarized ()
Bertalan Meskó, MD, PhD Director of The Medical Futurist Institute (Keynote Speaker, Researcher, Author & Futurist)Director of The Medical Futurist Institute (Keynote Speaker, Researcher, Author & Futurist) 10h • 10h • NVIDIA’s last week summarized: – They announced the availability of 25 new cloud-agnostic microservices to help healthcare developers make use of generative AI in […]
- AI Predicts Drugs That Are Not Safe to Take Together ()
An exciting development in digital health care is the use of artificial intelligence (AI) machine learning as a predictive tool for better patient outcomes. A new study published in Nature Biomedical Engineering by Massachusetts Institute of Technology (MIT), Brigham and Women’s Hospital at Harvard Medical School, Duke University, and their research collaborators demonstrates how AI […]
- The process of cryonics could be automated one day with roboticians. ()
The process of cryonics could be automated one day with roboticians. And this is good if the humankind is disapearing.
- Roboticians could automate the cryopreservation of patients with Cryonics Organisations ()
Roboticians could automate the cryopreservation of patients with Cryonics Organisations. In the future, no need of humans to take care of cryonics patients under cold temperature.
- Rethinking Personalized Medicine: AI’s Limits in Clinical Trials ()
Summary: A new study reveals limitations in the current use of mathematical models for personalized medicine, particularly in schizophrenia treatment. Although these models can predict patient outcomes in specific clinical trials, they fail when applied to different trials, challenging the reliability of AI-driven algorithms in diverse settings. This study underscores the need for algorithms to […]
- This Mind-Reading Cap Can Translate Thoughts to Text Thanks to AI ()
Wearing an electrode-studded cap bristling with wires, a young man silently reads a sentence in his head. Moments later, a Siri-like voice breaks in, attempting to translate his thoughts into text, “Yes, I’d like a bowl of chicken soup, please.” It’s the latest example of computers translating a person’s thoughts into words and sentences. Previously, […]
- The What, Why and How of Generative Flow Networks ()
GFlowNets were introduced at NeurIPS in 2021 by Emmanuel Bengio and co-authors. GFlowNets are a deep learning technique for “building objects” at a frequency proportional to the expected reward of those objects in an environment. The motivating example in their first paper is the discovery of new chemical structures (or I’ll also refer to them […]
- Nanoelectronic device performs real-time AI classification without relying on the cloud ()
Forget the cloud. Northwestern University engineers have developed a new nanoelectronic device that can perform accurate machine-learning classification tasks in the most energy-efficient manner yet. Using 100-fold less energy than current technologies, the device can crunch large amounts of data and perform artificial intelligence (AI) tasks in real time without beaming data to the cloud […]
- How to spice up your bioinformatics skill set with AI ()
Incorporating machine-learning tools into data analysis can accelerate discovery and free up valuable time. Artificial-intelligence programs can speed up monotonous tasks in research — and the learning curve is not too steep. Image-analysis tools can do amazing things. Yet despite their power, Fernanda Garcia Fossa was frustrated. A biology PhD student at the State University […]
- Drug discovery on an unprecedented scale ()
Boosting virtual screening with machine learning allowed for a 10-fold time reduction in the processing of 1.56 billion drug-like molecules. Researchers from the University of Eastern Finland teamed up with industry and supercomputers to carry out one of the world’s largest virtual drug screens. In their efforts to find novel drug molecules, researchers often rely […]
- DeepMind’s New AI Can Predict Genetic Diseases ()
AlphaMissense, a new model from Google’s artificial intelligence team, analyzes the effects of DNA mutations and will accelerate research into rare diseases. ABOUT 10 YEARS ago, Žiga Avsec was a PhD physics student who found himself taking a crash course in genomics via a university module on machine learning. He was soon working in a […]
- AI tools approved by the FDA, a page to visit and to see ()
When we will see a FDA approved cryonics revival treatement? Well at least we have AI tools so far which are approved right now by the FDA: https://medicalfuturist.com/fda-approved-ai-based-algorithms/
- The Next Frontier For Large Language Models Is Biology ()
Large language models like GPT-4 have taken the world by storm thanks to their astonishing command of natural language. Yet the most significant long-term opportunity for LLMs will entail an entirely different type of language: the language of biology. One striking theme has emerged from the long march of research progress across biochemistry, molecular biology […]
- AI Takes On Drug Discovery ()
By Mike May, PhD Artificial intelligence appears poised to transform many aspects of our lives, and drug discovery is no exception. By removing much of the trial and error from drug discovery, AI reveals new targets and tactics for treating diseases. “AI is an umbrella for different types of machine learning models that can be […]
- Using AI to create better, more potent medicines ()
While it can take years for the pharmaceutical industry to create medicines capable of treating or curing human disease, a new study suggests that using generative artificial intelligence could vastly accelerate the drug-development process. Today, most drug discovery is carried out by human chemists who rely on their knowledge and experience to select and synthesize […]
- AI Singularity realistically by 2029: year-by-year milestones ()
This existential threat could even come as early as, say, 2026. Or might even be a good thing, but whatever the Singularity exactly is, although it’s uncertain in nature, it’s becoming clearer in timing and much closer than most predicted. AI is nevertheless hard to predict, but many agree with me that with GPT-4 we’re […]
- Scientists just used A.I. to map a fruit fly’s brain. Here’s why it’s a ‘turning point in neuroscience’ ()
Without A.I., the researchers would have taken roughly 2,000 collective years to finish the work—they also made almost 3 million edits to fix the A.I.’s mistakes. All ~130,000 neurons in the flywire.ai connectome. Further details in Dorkenwald et al and Schlegel et al bioRxiv preprints. Imagine you need to find a room in an expansive, […]
- Generative AI Will Transform Health Care Sooner Than You Think ()
Key Takeaways Generative AI has quickly become a major factor in health care, but executives must understand how to use the technology in order to capitalize on its potential while avoiding the risks inherent in applying it to patient care. We analyzed generative AI use cases across different health segments, looking at both solutions already […]
- This new genome map tries to capture all human genetic variation ()
The joke about the Human Genome Project is how many times it’s been finished, but not actually. The first time was in 2000, when Bill Clinton announced the “first survey of the entire human genome” at a White House ceremony, calling it “the most important and most wondrous map ever produced by humankind.” But the […]
- A.I. Is Getting Better at Mind-Reading ()
In a recent experiment, researchers used large language models to translate brain activity into words. Scientists recorded M.R.I. data from three participants as they listened to 16 hours of narrative stories to train the model to map between brain activity and semantic features that captured the meanings of certain phrases and the associated brain response. […]
- AI Emulates Brain’s Memory Replay, Uncovering How We Learn ()
Summary: Scientists have made strides in uncovering the mechanisms underlying memory formation and consolidation in the brain during rest or sleep. A new study focuses on the role of the hippocampus, a brain region important for memory, and its place cells which “replay” neuronal sequences. The researchers built an artificial intelligence model to better understand […]
- Can A.I. Treat Mental Illness? ()
In the nineteen-sixties, Joseph Weizenbaum, a computer scientist at M.I.T., created a computer program called Eliza. It was designed to simulate Rogerian therapy, in which the patient directs the conversation and the therapist often repeats her language back to her: User: My boyfriend made me come here. Eliza: Your boyfriend made you come here. User: […]
- An AI tool that fix cryonics patients? ()
An AI tool that fix cryonics patients?
- Learning from deep learning: a case study of feature discovery and validation in pathology ()
When a patient is diagnosed with cancer, one of the most important steps is examination of the tumor under a microscope by pathologists to determine the cancer stage and to characterize the tumor. This information is central to understanding clinical prognosis (i.e., likely patient outcomes) and for determining the most appropriate treatment, such as undergoing […]
- Technology over the long run: zoom out to see how dramatically the world can change within a lifetime ()
It is easy to underestimate how much the world can change within a lifetime. Bringing to mind how dramatically the world has changed can help us see how different the world could be in a few years or decades. by Max Roser February 22, 2023 Technology can change the world in ways that are unimaginable, […]
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Artificially intelligent (AI) nano-machines will be injected into humans in 20 years to be used to repair and enhance muscles, cells and bones, as well as enable us to control our environment with thought and gestures, says an IT specialist at IBM. “We may see nano-machines being injected into our bodies,” John McNamara, senior inventor […]
- AI Finds Drug Candidate for Liver Cancer in 30 Days ()
The average drug discovery and development process takes over a decade. Scientists have broken new ground with the AI discovery of a novel drug candidate for liver cancer in just 30 days. Worldwide, liver cancer was one of the leading causes of cancer mortality in 2020, with over 830,000 deaths. A major artificial intelligence (AI) […]
- Cryonics Patients will probably be revived by/with drug developments. ()
Cryonics Patients will probably be revived by/with drug developments. With the power of humans, AI and Quantum Technologies.
- A new dawn ()
There are three phases of AI: Artificial Narrow Intelligence (ANI) Artificial General Intelligence (AGI) Artificial Super Intelligence (ASI) Humanity’s impact and influence on our planet is undeniable. We have constructed cities that sprawl for miles and built skyscrapers that pierce the heavens. We have tunneled through mountains, redirected rivers and spawned new bodies of land. […]
- Engineers to advance nanomedicine manufacturing using AI ()
A novel combination of artificial intelligence and production techniques could change the future of nanomedicine, according to Cornell researchers using a new $3 million grant from the National Science Foundation to revolutionize how polymer nanoparticles are manufactured. Polymer nanoparticles have emerged as a powerful tool for delivering medicine to precisely the right place, at the […]
- Biotechs are applying AI and machine learning to drug development ()
Biotechs are applying AI and machine learning to drug development, potentially creating dozens of new medicines and a $50 billion market over the next decade. Here’s what that means for patients and investors. For biotechnology companies, much of the traditional process of discovering new drugs is costly guesswork. But a new wave of drug development […]
- AI Discovers Drugs That May Disrupt Biotech and Pharma ()
Artificial intelligence (AI) chatbots like ChatGPT by OpenAI have brought awareness to the general public of the power of machine learning. At the same time, a quiet AI revolution in drug discovery is rapidly advancing that may impact both our mental and physical health–in a good way. Recently, a number of pioneering companies with new […]
- Why cryonics is controversial? An answer by the OpenAI Chat bot in December 2022. ()
Me: Why cryonics is controversial? OpenAI Chat Bot: Cryonics, or the storage of human bodies or organs at very low temperatures for the purpose of resuscitating them at a later date, is a controversial subject for several reasons. First of all, cryonics is not a scientifically proven technique and there is no proof that the […]
- OpenAI Chat: What do you think about cryonics? ()
Me/Jonathan Després: What do you think about cryonics? OpenAI Chat (https://chat.openai.com/chat): Cryonics is a speculative and controversial concept that involves the freezing of a human body or brain in the hope that advanced medical technologies will eventually be developed to allow the person to be revived and restored to health. While the idea of cryonics […]
- Using machine learning to better understand how water behaves ()
Water has puzzled scientists for decades. For the last 30 years or so, they have theorized that when cooled down to a very low temperature like -100C, water might be able to separate into two liquid phases of different densities. Like oil and water, these phases don’t mix and may help explain some of water’s […]
- Solving brain dynamics gives rise to flexible machine-learning models ()
MIT CSAIL researchers solve a differential equation behind the interaction of two neurons through synapses to unlock a new type of speedy and efficient AI algorithm. Last year, MIT researchers announced that they had built “liquid” neural networks, inspired by the brains of small species: a class of flexible, robust machine learning models that learn […]
- Cryonics organisations should use such a technology or such a company like this: https://en.maxen-tech.com/ ()
Our mission is to reduce the environmental footprint of buildings by allowing managers to increase their operations’ efficiency and optimize their processes. The transition of buildings’ energy management is well underway. Standards and expectations of investors, tenants, occupants and the general public are increasingly high. Our clients face new, often mixed and complex situations that […]
- DeepMind feuds with Russian scientists over quantum AI research ()
There’s nothing quite so dramatic and inspirational as a scientific breakthrough. But what happens when different groups of scientists can’t seem to agree on the science? DeepMind, an Alphabet research company based in London, published a fascinating research paper last year wherein it claimed to have solved the huge challenge of “simulating matter on the […]
- When to Use MLP, CNN, and RNN Neural Networks / What neural network is appropriate for your predictive modeling problem? ()
It can be difficult for a beginner to the field of deep learning to know what type of network to use. There are so many types of networks to choose from and new methods being published and discussed every day. To make things worse, most neural networks are flexible enough that they work (make a […]
- Similarity Between Schizophrenia and Dementia Discovered for the First Time ()
Summary: Study reveals striking similarities in both behaviors and neuroanatomical changes between people with schizophrenia and behavioral-variant frontotemporal dementia. Source: Max Planck Institute Researchers have, for the first time, compared schizophrenia and frontotemporal dementia—disorders that are both located in the frontal and temporal lobe regions of the brain. The idea can be traced back to […]
- Protein-Designing AI Opens Door to Medicines Humans Couldn’t Dream Up ()
Designing a protein is a bit like making a cabinet. The first step is building the backbone that holds the protein together. But then comes the hard part: figuring out where to install hinges on the scaffold—that is, finding the best “hotspots”—to put on doors, shelves, and other attachments that ultimately make the cabinet fully […]
- Combining Neuroscience, Psychology, and AI Yields a Foundational Model of Human Thought ()
Progress in artificial intelligence has enabled the creation of AIs that perform tasks previously thought only possible for humans, such as translating languages, driving cars, playing board games at world-champion level, and extracting the structure of proteins. However, each of these AIs has been designed and exhaustively trained for a single task and has the […]
- What is the BRAIN Summit 2022? ()
The Brain Health & Rehabilitation through Artificial Intelligence Network Summit will focus on the use of artificial intelligence (AI) to improve brain health and rehabilitation. Hosted by the National Artificial Intelligence Institute (NAII), this in-person conference will highlight how AI is impacting three areas of critical importance to Veterans’ health: brain cancer, brain injury & […]
- How to rewind minds evolutions using artificial intelligence with DeepMind? ()
How to rewind minds evolutions using artificial intelligence with DeepMind? Is it possible or ?
- DeepMind says it will release the structure of every protein known to science ()
Back in December 2020, DeepMind took the world of biology by surprise when it solved a 50-year grand challenge with AlphaFold, an AI tool that predicts the structure of proteins. Last week the London-based company published full details of that tool and released its source code. Now the firm has announced that it has used […]
- Simulating matter on the quantum scale with AI ()
Solving some of the major challenges of the 21st Century, such as producing clean electricity or developing high temperature superconductors, will require us to design new materials with specific properties. To do this on a computer requires the simulation of electrons, the subatomic particles that govern how atoms bond to form molecules and are also […]
- Competitive programming with AlphaCode ()
Solving novel problems and setting a new milestone in competitive programming. Creating solutions to unforeseen problems is second nature in human intelligence – a result of critical thinking informed by experience. The machine learning community has made tremendous progress in generating and understanding textual data, but advances in problem solving remain limited to relatively simple […]
- Machine Learning Becomes a Mathematical Collaborator ()
Two recent collaborations between mathematicians and DeepMind demonstrate the potential of machine learning to help researchers generate new mathematical conjectures. Mathematicians often work together when they’re searching for insight into a hard problem. It’s a kind of freewheeling collaborative process that seems to require a uniquely human touch. But in two new results, the role […]
- The Biggest Brain Maps Ever Created Are Pushing the Frontiers of Neuroscience ()
Our quest to understand the brain’s connections is a bit like aliens trying to understand Earthlings from outer space. Imagine having to track down every single person and their conversations across different continents, reconstruct noisy snippets into coherent messages, and from that data, infer the zeitgeist of the human race. That, essentially, is what neuroscientists […]
- These Super-Efficient, Artificial Neurons Do Not Use ElectronsSo could the brain’s super-efficiency have to do with ions? ()
Designing electronic systems that mimic the human brain, both in terms of energy use and ability to carry information, is a holy grail of scientific research. Whereas artificial intelligence has come a long way, these systems are still far from matching the brain’s energy efficiency. A team of scientists from the ENS Laboratoire de Physique, […]
- Fast, Efficient Neural Networks Copy Dragonfly Brains ()
In each of our brains, 86 billion neurons work in parallel, processing inputs from senses and memories to produce the many feats of human cognition. The brains of other creatures are less broadly capable, but those animals often exhibit innate aptitudes for particular tasks, abilities honed by millions of years of evolution. https://spectrum-ieee-org.cdn.ampproject.org/c/s/spectrum.ieee.org/amp/fast-efficient-neural-networks-copy-dragonfly-brains-2653978243
- Deep Learning Model Classifies Brain Tumors With Single MRI Scan ()
Summary: A new AI model can accurately classify a brain tumor of one of six common cancer types from a single MRI brain scan image. Source: RSNA A team of researchers at Washington University School of Medicine have developed a deep learning model that is capable of classifying a brain tumor as one of six […]
- Do AI and Cryonics are ennemies or friends? ()
Do AI and Cryonics are ennemies or friends?
- Maybe DeepMind will help to repair or fix cryonics patients one day in the far future ()
Maybe DeepMind will help to repair or fix cryonics patients one day in the far future
- DeepMind offers AI tool to predict shape of all human proteins ()
Artificial intelligence has solved one of the greatest puzzles in biology, by predicting the shape of every protein expressed in the human body. The research was carried out by London AI company DeepMind, which used its AlphaFold algorithm to build the most complete and accurate database yet of the human proteome, which underpins human health […]
- We have no control on our human bodies yet, but soon yes, but before we need… ()
We have no control on our human bodies yet, but soon yes, but before we need a super very big intelligence being, something that could crack and figure out how to repair our human bodies with 100% control. Artificial or not. A system or a team or not.
- AI Spots Neurons Better Than Human Experts ()
Summary: A new deep learning algorithm is superior to human experts in distinguishing between retinal ganglion cells in healthy patients and in those with glaucoma. The AI system could potentially help improve the diagnosis of both eye and brain diseases. A new combination of optical coherence tomography (OCT), adaptive optics and deep neural networks should […]
- CAN WE APPLY TESTS FOR CONSCIOUSNESS TO ARTIFICIAL INTELLIGENCE? ()
A robot could be programmed to say Ow! and withdraw its hand from a hot object. But did it feel anything? In Walter Bradley Center director Robert J. Marks’s second podcast with philosopher Angus Menuge, where the big topic is the perennial “Hard Problem of consciousness, they established that one of the implications of quantum […]
- Music-Induced Emotions Can Be Predicted From Brain Scans ()
Music-Induced Emotions Can Be Predicted From Brain Scans Summary: Based on the activity in the auditory cortex and motor cortex, researchers were able to predict whether a participant was listening to music that was upbeat or sad. Source: University of Turku Researchers at the University of Turku have discovered what type of neural mechanisms are […]
- Scientists develop AI that can turn brain activity into text ()
Researchers in US tracked the neural data from people while they were speaking Reading minds has just come a step closer to reality: scientists have developed artificial intelligence that can turn brain activity into text. While the system currently works on neural patterns detected while someone is speaking aloud, experts say it could eventually aid […]