Slow sand and membrane filters can knock out nearly all of the tiny pollutants.
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Meta's just released another concept video showing off the metaverse's potential capabilities and, while your mind might immediately go to a place of “what a load of corpo bull,” t.
The world’s most-cited researcher in visual question-answering, Anton van den Hengel, is also Amazon’s director of applied science. Learn how his journey to computer vision started with law—and how his work is supporting Amazon’s business through the development and application of state-of-the-art computer vision and scalable machine learning.
#ComputerVision #CVPR2022
Amazon’s director of applied science in Adelaide, Australia, believes the economic value of computer vision has “gone through the roof”.
Circa 2019
Researchers at Heriot-Watt University use “balls of lightning” to connect glass to metal.
High Dynamic Range Zuckerberg said that of the four key challenges he and Abbrash overviewed “the most important of these all is HDR.” To prove out the impact of HDR on the VR experience, the Display Systems Research team built another prototype, appropriately called Starburst. According to Meta it’s the first VR headset prototype (‘as …
SPACE weather experts are keeping a close eye on an “enormous sunspot” that’s doubled in size in the past 24 hours.
The unstable patch on the solar surface is directly facing Earth so if it bursts it could fling solar flares our way.
A solar flare isn’t expected to hit yet but it could be possible if the sunspot continues to grow and behave in an unstable manner.
With a more sustainable world goal, MIT researchers have succeeded in developing a new LEGO-like AI chip. Imagine a world where cellphones, smartwatches, and other wearable technologies don’t have to be put away or discarded for a new model. Instead, they could be upgraded with the newest sensors and processors that would snap into a device’s internal chip – similar to how LEGO bricks can be incorporated into an existing structure. Such reconfigurable chips might keep devices current while lowering electronic waste. This is really important because green computing is the key to a sustainable future.
MIT engineers have developed a stackable, reprogrammable LEGO-like AI chip. The chip’s layers communicate thanks optically to alternating layers of sensing and processing components, as well as light-emitting diodes (LEDs). Other modular chip designs use conventional wiring to transmit signals between layers. Such intricate connections are difficult, if not impossible, to cut and rewire, making stackable configurations nonreconfigurable.
Rather than relying on physical wires, the MIT design uses light to transfer data across the AI chip. As a result, the chip’s layers may be swapped out or added upon, for example, to include extra sensors or more powerful processors.
Summary: Researchers present an all-atom molecular dynamic simulation of synaptic vesicle fusion.
Source: Texas Advanced Computing Center.
Let’s think for a second about thought—specifically, the physics of neurons in the brain.
The vision didn’t exactly work out. DNA sequences, while capturing extremely powerful genetic information, don’t necessarily translate to indicating how our bodies behave. Genes can turn on or off in different tissues depending on the cell’s need. Reading a DNA sequence for any gene is like parsing the base code of a cell’s internal program. There’s the raw genetic code—the genotype—which determines the phenotype, life’s software that controls how cells behave. Linking the two has taken decades of painstaking experiments, slowly building up an encyclopedia of knowledge that decodes the influence of a gene on biological functions.
A new study ramped up the effort. Led by Drs. Thomas Norman and Jonathan Weissman at Memorial Sloan Kettering Cancer Center in New York and the University of California, San Francisco, respectively, the team built a Rosetta Stone for translating genotypes to phenotypes, with the help of CRISPR.
They went big. Changing gene expression in over 2.5 million human cells, the tech, dubbed Perturb-seq, comprehensively mapped how each genetic perturbation alters the cell. The technology centers around a sort of CRISPR on steroids. Once introduced into cells, Perturb-seq rapidly changes thousands of genes—a brutal shakeup at the genomic scale to see how single cells respond.
If that reads a little like Shakespeare defending humans’ innate superiority over artificial intelligence hundreds of years ahead of his time, it’s not.
But it is something almost as far out: an AI system trained to express itself like the bard. The AI assimilated his style and perspective by ingesting his plays—educating itself to give an opinion on AI creativity in iambic pentameter.
“Shakespeare” was speaking as part of a debate held in the University of Oxford Union featuring AI versions of classic writers and literary characters.