Range Energy revealed its electric trailer cuts tractor fuel use by 36.5 percent on assisted miles, with returns comparable to a Tesla Semi.
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Australia’s AirTrunk bags $3 billion green loan to expand Sydney data centre
Blackstone-backed AirTrunk secured a A$4.25 billion ($2.98 billion) green loan to fund the continued development of its SYD3 campus in Western Sydney, supporting the expansion of digital infrastructure in the region.
Nuclear War Myths: Would Civilization Really End?
Nuclear war could kill millions or billions, but would it really end civilization?
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Nuclear War Myths: Would Civilization Really End?
Written, Produced & Narrated by: Isaac Arthur.
Music by Epidemic Sound: http://nebula.tv/epidemic.
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Chapters.
0:00 Intro.
0:09The Apocalypse We Inherited.
4:05 What Nuclear Weapons Actually Do.
9:33 Fallout Is Not Magic Death Dust.
19:21 Cities Burn, But the World Is Not One City.
23:29 Civilization After the Strike.
32:08 Flexispot.
33:38 Survival Beyond the Numbers.
Defining the electrical synapse
The mechanisms underlying electrical transmission are often viewed as relatively simple compared with those mediating chemical transmission, yet electrical synapses exhibit dynamic changes in structure and strength. In this Review, Alberto Pereda and Adam Miller examine the structural and molecular bases and complexities of electrical transmission.
An artificial synapse based on molecular junctions
Designing scaled electronic devices for neuromorphic applications remains a challenge. Here, Zhang et al. develop an artificial molecular synapse based on self-assembled peptide molecule monolayer whose conductance can be dynamically modulated and used for waveform recognition.
Large-scale high uniform optoelectronic synapses array for artificial visual neural network
Zhang, F., Li, C., Chen, Z. et al. Large-scale high uniform optoelectronic synapses array for artificial visual neural network. Microsyst Nanoeng 11, 5 (2025). https://doi.org/10.1038/s41378-024-00859-2
Advances in the labelling and selective manipulation of synapses
An array of genetically encoded tools are now available to label and manipulate synapses in different experimental species. Kaang and colleagues provide an overview of these techniques, highlighting their advantages, disadvantages and utility for investigating synaptic function.
Quantifying postsynaptic receptor dynamics: insights into synaptic function
The molecular organization of the synapse is both highly organized and dynamic. Triller and colleagues outline advances in single-particle tracking technologies that have enabled us to gain quantitative insights into the mechanisms that regulate postsynaptic receptor dynamics.
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A computer that runs on living human neurons is currently playing Doom. It’s called CL1, built by Cortical Labs from brain cells grown in a lab. There’s no one at the controls, and yet something is clearly learning. What’s actually running this thing is the strange part, and it’s the reason I had to make this video.
Inspired by TRY: • La découverte la plus effrayante du siècle.
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New tissue atlas aims to help AI understand cancer
How cells are arranged within tissue can reveal as much about disease as the cells themselves. When doctors examine a cancer tumor, for example, they don’t just look at which cells are present; they also want to know how those cells are arranged and how they interact with each other. That’s because the way cancer cells interact with neighboring immune cells can offer important clues about how a disease develops or responds to treatment.
Scientists can study these relationships using spatial proteomics, a technology that captures this organization by measuring dozens of proteins while preserving their locations. Because proteins help control what cells do, these images offer a valuable picture of how healthy and diseased tissues work.
But the resulting data sets are difficult to combine. Research laboratories around the world use different equipment, examine different proteins and store their results in different ways. Combining this information is complicated and time-consuming, making it difficult to use large amounts of data for both conventional studies and, now, training artificial intelligence.