Designing high performance, scalable, and energy efficient spiking neural networks remains a challenge. Here, the authors utilize mixed-dimensional dual-gated Gaussian heterojunction transistors from single-walled carbon nanotubes and monolayer MoS2 to realize simplified spiking neuron circuits.
So, to put it in a very straightforward way – the term “AI agents” refers to a specific application of agentic AI, and “agentic” refers to the AI models, algorithms and methods that make them work.
Why Is This Important?
AI agents and agentic AI are two closely related concepts that everyone needs to understand if they’re planning on using technology to make a difference in the coming years.
An AI-powered tool called MELD Graph is revolutionizing epilepsy care by detecting subtle brain abnormalities that radiologists often miss.
By analyzing global MRI data, the tool improves diagnosis speed, increases access to surgical treatment, and cuts healthcare costs. Though not yet in clinical use, it is already helping doctors identify operable lesions, offering hope to epilepsy patients worldwide.
AI Breakthrough in Epilepsy Detection.
A team of Carnegie Mellon University researchers set out to see how accurately large language models (LLMs) can match the style of text written by humans. Their findings were recently published in the Proceedings of the National Academy of Sciences.
“We humans, we adapt how we write and how we speak to the situation. Sometimes we’re formal or informal, or there are different styles for different contexts,” said Alex Reinhart, lead author and associate teaching professor in the Department of Statistics & Data Science.
“What we learned is that LLMs, like ChatGPT and Llama, write a certain way, and they don’t necessarily adapt to the writing style. The context and their style are actually very distinctive from how humans normally write or speak in different contexts. Nobody has measured or quantified this in the way we were able to do.”
Three books examine our complex and often fraught relationship with robots, AI, and automation.
Clone Robotics made the Protoclone which is a faceless, anatomically accurate, synthetic human with over 200 degrees of freedom, over 1,000 Myofibers, and over 200 sensors.
Furthermore, healthcare and life sciences are both booming sectors with regards to artificial intelligence applications. Many other companies are also working at the intersection of technology and biology, given the numerous challenges that are present in the fields of drug discovery and protein folding. For example, Deepmind and Isomorphic Labs have made immense progress with AlphaFold, another leading foundation model ecosystem to better understand protein folding. Meta created something similar with its ESM Metagenomic Atlas. Given the increasing rates of catastrophic disease and the rapidly evolving nature of pathogens, scientists in these sectors hope to use the best of the advancements in AI to help solve some of biology’s toughest challenges.
Indeed, the immense progress that has been made thus far has paved the way for monumental scientific inventions and developments to emerge in the years ahead. Undoubtedly, this work is just getting started.
A biomaterial that can mimic certain behaviors within biological tissues could advance regenerative medicine, disease modeling, soft robotics and more, according to researche(rs at Penn State.
Materials created up to this point to mimic tissues and extracellular matrices (ECMs) — the body’s biological scaffolding of proteins and molecules that surrounds and supports tissues and cells — have all had limitations that hamper their practical applications, according to the team. To overcome some of those limitations, the researchers developed a bio-based, “living” material that encompasses self-healing properties and mimics the biological response of ECMs to mechanical stress.
They published their results in Materials Horizons, where the research was also featured on the cover of the journal.
Super Humanity — This documentary examines breakthroughs in neuroscience and technology. Imagine a future where the human brain and artificial intelligence connect.
Super Humanity (2019)
Director: Ruth Chao.
Writers: Ruth Chao, Paula Cons, Alphonse de la Puente.
Genre: Documentary, Sci-Fi.
Country: Portugal, Spain.
Language: English.
Release Date: December 27, 2019 (Spain)
Also Known As (AKA):
(original title) O Futuro da Mente.
El futuro de la mente.
Netherlands O Futuro da Mente.
Poland O Futuro da Mente.
Portugal O Futuro da Mente.
South Korea O Futuro da Mente.
Spain El futuro de la mente.
United States Mind Forward.
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Swimming robots are essential for mapping pollution, studying aquatic ecosystems, and monitoring water quality in sensitive areas such as coral reefs and lake shores. However, many existing models rely on noisy propellers that can disturb or even harm wildlife. Additionally, navigating these environments is challenging due to natural obstacles like plants, animals, and debris.
To address these issues, researchers from the Soft Transducers Lab and the Unsteady Flow Diagnostics Laboratory at EPFL’s School of Engineering, in collaboration with the Max Planck Institute for Intelligent Systems, have developed a compact, highly maneuverable swimming robot. Smaller than a credit card and weighing just six grams, this agile robot can navigate tight spaces and carry payloads significantly heavier than itself. Its design makes it particularly suited for confined environments such as rice fields or for inspecting waterborne machinery. The study has been published in Science Robotics.
“In 2020, our team demonstrated autonomous insect-scale crawling robots, but making untethered ultra-thin robots for aquatic environments is a whole new challenge,” says EPFL Soft Transducers Lab head Herbert Shea. “We had to start from scratch, developing more powerful soft actuators, new undulating locomotion strategies, and compact high-voltage electronics”
