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Category: robotics/AI – Page 1,213

Year 2020 Stroke victims could eventually get dmt infusions where they can recover quickly after a stroke.

N, N-dimethyltryptamine (DMT) is an endogenous ligand of the Sigma 1 receptor (Sig-1R) with documented in vitro cytoprotective properties against hypoxia. Our aim was to demonstrate the in vivo neuroprotective effect of DMT following ischemia-reperfusion injury in the rat brain.

Transient middle cerebral occlusion (MCAO) was induced for 60 min in male Wistar rats using the filament occlusion model under general anaesthesia. Before the removal of the filament the treatment group (n = 10) received an intra-peritoneal (IP) bolus of 1 mg/kg-body weight (bw) DMT dissolved in 1 ml 7% ethanol/saline vehicle, followed by a maintenance dose of 2 mg/Kg-bw/h delivered over 24 h via osmotic minipumps. Controls (n = 10) received a vehicle bolus only. A third group (n = 10) received a Sig-1R antagonist (BD1063, 1 mg/kg-bw bolus +2 mg/kg-bw/h maintenance) in parallel with the DMT. Lesion volume was measured by MRI 24 h following the MCAO. Shortly after imaging the animals were terminated, and the native brains and sera were removed. Four rats were perfusion fixed. Functional recovery was studied in two separate group of pre-trained animals (n = 8–8) using the staircase method for 30 days.

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Colon cancer is the second deadliest cancer in the US. Early detection is important but finding and diagnosing polyps is difficult. 2 AI-powered endoscopes have been developed in Japan to tackle the problem. One can judge a lesion’s malignancy in 0.4 second with almost 100% accuracy. The other indicates lesions during an exam, even indistinct ones, like a car navigation system. We also introduce fermented Japanese foods that are beneficial for gut health and explain how they should be eaten.

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Researchers advance efforts to create groups of robots that could construct almost anything.

When it comes to the manufacturing of commercial aircraft, different parts are manufactured at various locations. Before finally bringing them all together in a central plant and putting the finished aeroplane together, the tail components, the fuselage, and the wings are made at different plants.

Many other large structures, besides aircraft, are also built in sections.

MIT

Before finally bringing them all together in a central plant and putting the finished aeroplane together, the tail components, the fuselage, and the wings are made at different plants.

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Quick update/ reminder for Neuralink Event.

Twitter: https://twitter.com/ryantanaka3

Neura Pod is a series covering topics related to Neuralink, Inc. Topics such as brain-machine interfaces, brain injuries, and artificial intelligence will be explored. Host Ryan Tanaka synthesizes informationopinions, and conducts interviews to easily learn about Neuralink and its future.

Support: https://www.patreon.com/neurapod/

Please consider supporting by joining the channel above, or sharing my other company website with retirees: https://www.reterns.com/. Opinions are my own. Neura Pod receives no compensation from Neuralink and has no affiliation to the company.

#Neuralink #ElonMusk #Tesla

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Cornell University researchers have created an interface that allows users to handwrite and sketch within computer code – a challenge to conventional coding, which typically relies on typing.

The pen-based interface, called Notate, lets users of computational, digital notebooks open drawing canvases and handwrite diagrams within lines of traditional, digitized computer code.

Powered by a deep learning model, the interface bridges handwritten and textual programming contexts: notation in the handwritten diagram can reference textual code and vice versa. For instance, Notate recognizes handwritten programming symbols, like “n”, and then links them up to their typewritten equivalents.

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Dr. Svitlana Volkova, Ph.D. (https://www.pnnl.gov/people/svitlana-volkova) is Chief Scientist, Decision Intelligence and Analytics, National Security Directorate, Pacific Northwest National Laboratory (PNNL), which is one of the United States Department of Energy national laboratories, managed by the Department of Energy’s (DOE) Office of Science.

Dr. Volkova is a recognized leader in the field of computational social science and computational linguistics and her scientific contributions and publication profile cover a range of topics on applied machine learning, deep learning, natural language processing, and social media analytics.

Dr. Volkova’s research focuses on understanding, predicting, and explaining human behavior, interactions, and real-world events from open-source social data and her approaches help advance effective decision making and reasoning about extreme volumes of dynamic, multilingual, multimodal, and diverse real-world unstructured data.

Dr. Volkova has a Ph.D. in Computer Science from Johns Hopkins University, Center for Language and Speech Processing, and an M.S. in Computer Science, from Kansas State University.

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