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Category: biological

Quantum vibronics research points to future energy and computing technologies

Scientists at the University of California, Riverside are making breakthroughs in understanding how quantum wave functions move across ultra-thin materials—research that could eventually improve solar energy technologies and help lay the groundwork for new forms of quantum computing.

The researchers are part of UCR’s Center for Quantum Vibronics in Energy and Time (QuVET), which was established two years ago and focuses on “vibronics,” the interaction between vibrations and electronic quantum states. The center examines both biological molecules and synthetic layered materials, where the same fundamental quantum processes emerge across vastly different systems.

Its research brings together physicists, chemists, engineers, and biochemists from multiple institutions to better understand how vibrations shape quantum behavior.

Google Just Dropped The Singularity Bomb

Google DeepMind’s Demis Hassabis says humanity may already be standing in the foothills of the singularity. AI agents are now coding, researching, planning, paying, helping with science, and cutting real work from days to minutes. The big question is no longer whether AI is perfect. It’s whether imperfect AI has already become useful enough to speed up everything around it.

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📌 What You’ll See:
Google DeepMind’s warning that we are entering the foothills of the singularity.
SOURCE: https://www.axios.com/2026/05/26/deep… new Gemini for Science tools built to speed up scientific discovery SOURCE: https://blog.google/innovation-and-ai… AWS letting autonomous AI agents make payments and complete transactions SOURCE: https://aws.amazon.com/about-aws/what… AxiomProver helping prove new math results in Lean and Mathlib SOURCE: https://arxiv.org/abs/2602.05090 Biohub’s new world model of protein biology trained across billions of sequences SOURCE: https://biohub.ai/esm/protein ARC-AGI-3 showing the huge gap between today’s frontier AI and human reasoning SOURCE: https://aiforautomation.io/news/2026-… 🚨 Why It Matters This is bigger than another AI model update. Google DeepMind is now openly talking about the singularity, while AI agents are already starting to speed up coding, science, business, and research. Some experts think AGI may be closer than expected, while others say current AI still lacks true intelligence. Either way, the AI race is shifting fast from chatbots into agents that can plan, act, build, discover, and change real workflows. #google #singularity #ai.
Google’s new Gemini for Science tools built to speed up scientific discovery.
SOURCE: https://blog.google/innovation-and-ai…
AWS letting autonomous AI agents make payments and complete transactions.
SOURCE: https://aws.amazon.com/about-aws/what…
AxiomProver helping prove new math results in Lean and Mathlib.
SOURCE: https://arxiv.org/abs/2602.05090
Biohub’s new world model of protein biology trained across billions of sequences.
SOURCE: https://biohub.ai/esm/protein.
ARC-AGI-3 showing the huge gap between today’s frontier AI and human reasoning.
SOURCE: https://aiforautomation.io/news/2026-…

🚨 Why It Matters.
This is bigger than another AI model update. Google DeepMind is now openly talking about the singularity, while AI agents are already starting to speed up coding, science, business, and research. Some experts think AGI may be closer than expected, while others say current AI still lacks true intelligence. Either way, the AI race is shifting fast from chatbots into agents that can plan, act, build, discover, and change real workflows.

#google #singularity #ai

Conversation with Nic Rouleau, part 1: “Some thoughts on the mind as material”

This is a ~1 hour talk and discussion, comprising part 1 of a conversation with a really interesting young neuroscientist, as well as friend, collaborator, and our Center member, Nicolas Rouleau (https://allencenter.tufts.edu/nicolas… goes over unconventional aspects of neuroscience touching on free will, cybernetics, consciousness, and a lot more. We start a discussion which is continued in part 2. For more information:

Nic’s website: www.rouleaulab.com.
X account: @DrNRouleau.

Recent papers to check out:

Sellar, E.P., Rouleau, N. (In Review). A cybernetic framework for synthetic biological intelligence in the era of neural tissue engineering. Preprint doi: 10.31234/osf.io/md2wf_v1.

Kansala, C., Cicek, E., Nkansah-Okoree, V., Golding, A., Murugan, N.J., Rouleau, N. (In Review). Superstitious conditioning forms the experience of free will under causal determinism. Preprint doi: 10.31234/osf.io/fk3yt_v2.

Roskies, A. \& Rouleau, N. (Forthcoming, In Press). Research on brain organoids should prioritize questions of agency, not consciousness. AJOB Neuroscience.

Continue reading “Conversation with Nic Rouleau, part 1: “Some thoughts on the mind as material”” | >

Scientists Create the First Artificial Neuron That Can Communicate

A major breakthrough in artificial intelligence may have arrived: scientists have created an artificial neuron capable of communicating with other neurons.

Inspired by the human brain, this technology could allow machines to process information in a far more biological and efficient way. Instead of traditional computing architectures, future systems could operate more like living neural networks.

In this video we explore how artificial neurons work, why this breakthrough matters, and how it could reshape AI, robotics, and neuroscience.

#ArtificialNeuron, #ArtificialIntelligence, #Neuroscience, #FutureTechnology, #AIResearch, #NeuralNetworks

Single-step 8-9x expansion reveals nanoscale centrioles without electron microscopy

In a study published in ACS Nano, researchers from National Taiwan University report a new expansion microscopy strategy termed high-fold homogeneous expansion microscopy (hiHomoExM), capable of achieving approximately 8–9× isotropic expansion in a single expansion step while preserving delicate ultrastructural organization.

Expansion microscopy works by embedding biological samples within a swellable polymer hydrogel. Following chemical processing, the hydrogel expands uniformly in water, physically separating biomolecules and effectively increasing the spatial resolution achievable by conventional light microscopes.

“To achieve nanoscale imaging faithfully, both high expansion and homogeneous specimen preservation are essential,” explains the research team. “Nonuniform expansion can distort ultrastructural information and limit biological interpretation.”

MIT researchers use AI to uncover atomic defects in materials

In biology, defects are generally bad. But in materials science, defects can be intentionally tuned to give materials useful new properties. Today, atomic-scale defects are carefully introduced during the manufacturing process of products like steel, semiconductors, and solar cells to help improve strength, control electrical conductivity, optimize performance, and more.

But even as defects have become a powerful tool, accurately measuring different types of defects and their concentrations in finished products has been challenging, especially without cutting open or damaging the final material. Without knowing what defects are in their materials, engineers risk making products that perform poorly or have unintended properties.

Now, MIT researchers have built an AI model capable of classifying and quantifying certain defects using data from a noninvasive neutron-scattering technique. The model, which was trained on 2,000 different semiconductor materials, can detect up to six kinds of point defects in a material simultaneously, something that would be impossible using conventional techniques alone.

Brain Cells Master Doom: Cortical Labs’ Biological Computer Reaches Major AI Milestone

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Continue reading “Brain Cells Master Doom: Cortical Labs’ Biological Computer Reaches Major AI Milestone” | >

Novel porous gel changes color, shrinks and hardens when it detects target molecules

Researchers at Kyoto University and Tohoku University have developed a new porous polymer gel that selectively recognizes specific molecules (referred to as “guests” in the study) through coordination chemistry and converts these invisible molecular-scale interactions into strikingly visible, macroscale deformation.

The study demonstrates how subtle differences in molecular structure can directly alter the shape, color, and mechanical properties of a soft material, opening new possibilities for “smart” stimuli-responsive materials and molecularly programmable soft matter that can sense and react to its environment.

Molecular recognition is a central concept in supramolecular chemistry and biology, where molecules selectively interact through precisely arranged chemical interactions. While most artificial molecular recognition systems rely on noncovalent interactions such as hydrogen bonding, the present study instead exploits coordination interactions —a type of chemical “handshake”—between metal centers and electron-rich guest molecules.

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