MIT LIDS researchers have developed a new way of approaching complex problems such as coordinating complicated interactive systems, using simple diagrams as a tool to reveal better approaches to software optimization in deep learning models.
Category: robotics/AI
Our lives are filled with binary decisions—choices between one of two alternatives. But what’s really happening inside our brains when we engage in this kind of decision making?
A University of Ottawa Faculty of Medicine-led study published in Nature Neuroscience sheds new light on these big questions, illuminating a general principle of neural processing in a mysterious region of the midbrain that is the very origin of our central serotonin (5-HT) system, a key part of the nervous system involved in a remarkable range of cognitive and behavioral functions.
“The current dominating model is that individual 5-HT neurons are acting independently from one another. While it had previously been suggested that 5-HT neurons may rather be connected with one another, it had not been directly demonstrated. That is what we did here. We also identify an intriguing processing role—or a computation—that is supported by this particular type of connectivity between 5-HT neurons,” says Dr. Jean-Claude Béïque, full professor in the Faculty’s Department of Cellular and Molecular Medicine and co-director of the uOttawa Brain and Mind Research Institute’s Centre for Neural Dynamics and Artificial Intelligence.
Researchers have developed an AI model that analyzes sequences of brain scans to accurately predict tumor recurrence in children with gliomas.
A scientific revolution is underway as researchers push to bring atomic-level precision, once reserved for small molecule drugs, into the realm of nanomedicine. By tightly controlling the structure of nanoscale therapies, they’re creating more effective vaccines and treatments for cancer, infecti
“Second Variety” is a science fiction novelette by American writer Philip K. Dick, first published in Space Science Fiction magazine, in May 1953. Set in a world where war between the Soviet Union and United Nations has reduced most of the world to a barren wasteland, the story concerns the discovery, by the few remaining soldiers left, that self-replicating robots originally built to assassinate Soviet agents have gained sentience and are now plotting against both sides. It is one of many stories by Dick to examine the implications of nuclear war, particularly after it has destroyed much or all of the planet. The story was adapted into the movie Screamers in 1995. 00:00 Intro 01:03 Peek into the plot 03:33 Self-Replication and Technological Autonomy 06:51 Current Autonomous Warfare Capabilities 10:30 Space Warfare and the Projection of Terrestrial Conflict 13:14 Current State of Space Warfare 15:22 Wrapping Up =============== 🎬 Loitering munitions system WARMATE • Loitering munitions system WARMATE 📙 🇺🇸 Superintelligence: Paths, Dangers, Strategies https://bookshop.org/a/98861/97801987… The Human Terrain Project — PENTAGON’S attempt to understand The Enemy | ENDEVR Documentary
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A new study found that a gene recently recognized as a biomarker for Alzheimer’s disease is actually a cause of it, due to its previously unknown secondary function. Researchers at the University of California San Diego used artificial intelligence to help both unravel this mystery of Alzheimer’s disease and discover a potential treatment that obstructs the gene’s moonlighting role.
The research team published their results on April 23 in the journal Cell.
About one in nine people aged 65 and older has Alzheimer’s disease, the most common cause of dementia. While some particular genes, when mutated, can lead to Alzheimer’s, that connection only accounts for a small percentage of all Alzheimer’s patients. The vast majority of patients do not have a mutation in a known disease-causing gene; instead, they have “spontaneous” Alzheimer’s, and the causes for that are unclear.
As artificial intelligence (AI) continues to advance, researchers at POSTECH (Pohang University of Science and Technology) have identified a breakthrough that could make AI technologies faster and more efficient.
Professor Seyoung Kim and Dr. Hyunjeong Kwak from the Departments of Materials Science & Engineering and Semiconductor Engineering at POSTECH, in collaboration with Dr. Oki Gunawan from the IBM T.J. Watson Research Center, have become the first to uncover the hidden operating mechanisms of Electrochemical Random-Access Memory (ECRAM), a promising next-generation technology for AI. Their study is published in the journal Nature Communications.
As AI technologies advance, data processing demands have exponentially increased. Current computing systems, however, separate data storage (memory) from data processing (processors), resulting in significant time and energy consumption due to data transfers between these units. To address this issue, researchers developed the concept of in-memory computing.
In this second episode of the AI Bros podcast Bruce and John go completely unscripted and just letting the conversation flow where it goes.
They talk about everything from Sam Altman’s controversial TED interview to John’s Animated Action Figure that came to life and broke out of its packaging. It’s interesting, fun and informative.
Subscribe, Like, Follow, and Share the AI Bros to your favorite social media platforms. The AI Bros Podcast is where artificial intelligence meets real talk.
Both Bruce and John share their hot takes, perspective and journey with AI as they learn it and use it themselves in their own day to day workflow.
The AI Bros podcast is a weekly series, and a part of the Neural News Network, and the (A)bsolutely (I)ncredible podcast channel. John Lawson III is the CEO of ColderICE Media and is highly recognized in e-commerce, and AI.
John is an Amazon #1 best-selling author, IBM Futurist, and an eBay Influencer.
He’s celebrated as one of the Top 100 Small Business Influencers in America, and crowned “Savviest in Social Medial” by StartUp Nation. You can connect with John directly on his website at www.johnlawson. comJohn is an internationally-recognized keynote speaker, a “Commerce Evangelist” and an absolute wealth of knowledge on all things e-retail, and online marketing strategy.
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Coordinating complicated interactive systems, whether it’s the different modes of transportation in a city or the various components that must work together to make an effective and efficient robot, is an increasingly important subject for software designers to tackle. Now, researchers at MIT have developed an entirely new way of approaching these complex problems, using simple diagrams as a tool to reveal better approaches to software optimization in deep-learning models.
They say the new method makes addressing these complex tasks so simple that it can be reduced to a drawing that would fit on the back of a napkin.
The new approach is described in the journal Transactions of Machine Learning Research, in a paper by incoming doctoral student Vincent Abbott and Professor Gioele Zardini of MIT’s Laboratory for Information and Decision Systems (LIDS).