Organization FluroSat. Region Asia Pacific. Hails From Australia. About Anastasia Volkova Anastasia founded FluroSat with the aim to close the gap between the application of remote sensing technology in precision agriculture and the insights available in the field.
More in Software. With the merger and acquisition of Dagan, Regrow is going further with remote sensing through the addition of new technology. DNDC Denitrification Decarbonisation Model focuses on soil microbes and understands which environments are going to produce more or less greenhouse gasses.
In the next few years, we will see more credits for water stewardship, biodiversity, for other things in the farm, for of course nutrients or application, for sparing application of fertilizer. Inspired by John Kempf. Feedback, comments, suggestions? Join the Investing in Regenerative Agriculture and Food newsletter on www.
The above references an opinion and is for information and educational purposes only. But this is the version of the chemistry that would work for the home. I think our goal right now is to have it ready for the fall. For when the second wave comes. She modifies enzymes to enable production of new compounds for industry.
Aralez Bio was recently approached by a pharmaceutical company to produce ncAAs that had taken the company nine months to make with conventional methods. Training a typical natural-language processor requires so much computing power that it emits as much carbon as the life span of five American cars.
Much of the energy use in modern computing comes from the fact that data needs to be constantly transferred back and forth between memory and the processor.
As companies from the financial sector to life sciences constantly train their AI models to improve them, their energy needs will balloon. She builds novel modular machines that can do just about anything you can imagine. As an undergraduate, when she collaborated with artists on their installations, she often ran into limitations with the tools and equipment they were using.
Rather than accept her fate, she hacked the machines until they finally did what she wanted. What if instead of changing your idea to fit the tools, you could change the tools to fit your idea? Thus began her quest to create application-specific machines that could help anyone do almost anything.
Her goal is to give anyone with an idea the means to efficiently translate it into physical reality. Peek is now an assistant professor at the University of Washington, where she dedicates herself to this vision.
She designs modular components — motors, mechanical arms, and material cutters — that can be assembled every which way and programmed with a little bit of code to carry out tasks from the frivolous to the scientific. Peek tries to make her tools as low-cost and accessible as possible: some use only cardboard for their frames, and the designs are available to download. Her machines have been used by students, hackers, and even architects. She notes that computers were originally designed to carry out specific tasks, but evolved to be more general-purpose.
She thinks machines that automate physical tasks should be no different. Leila Pirhaji built an AI-based tool for measuring tiny molecules in the body called metabolites, and her work could help us better detect and treat diseases. So Pirhaji developed a platform that uses machine learning to do it much more quickly. First she built a huge database of all known information about existing metabolites and how they interact with various proteins and other molecules.
Then her team collected tissue and blood samples from patients with known diseases, and measured the metabolites. Her platform was able to analyze the data, understand the complex connections between diseases and metabolites, and use this information to discover new drugs.
Using her platform, the startup partners with major pharmaceutical companies to match existing medicines to new treatments and find new targets for future drugs. His recording tool provides a video of genes turning on or off. Randall Platt has created a way to record molecular events in a cell across time—a technology that has the potential to transform our understanding of a number of important biological processes.
Currently, for instance, one of the best tools available to understand the molecular processes that occur during embryonic development or immune responses to cancer is RNA-seq, a technique that allows biologists to develop a snapshot of how genes are being expressed—which ones are being turned on or off—at a single moment in time.
I was going after a technology that would fill that gap—what was happening to the cells throughout this transition.
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