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Category: robotics/AI – Page 13

Artificial Brain Controlled Robot

The GSN SNN 4−10−30−2 is a hardware based spiking neural network that can autonomous control a remote control robot vehicle. There are 10 artificial neurons and 30 artificial synapses, and is built on 16 full-size breadboards. Four infrared proximity sensor are used on top of the vehicle to determine how far it is away from objects and walls. The sensor data is used as inputs into the first later of neurons.

A full circuit level diagram of the neural network is provided, as well as an architecture diagram. The weights on the network are set based on the resistance value. The synapses allow the weights to be set as excitatory or inhibitory.

Testing of the network went great and the robot had much smoother control than previous testing as the output now has an analog output.

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Curriculum Innovation: Neurocritical Care EEG RoundsA Model to Improve Neurology Resident EEG Interpretation

Curriculum innovation: neurocritical care EEG rounds—a model to improve neurology resident EEG interpretation.

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Efficacy of Pyridostigmine in Myasthenia GravisA Randomized, Double-Blind, Placebo-Controlled Crossover Trial

Class I evidence that, in adults with AChRAb+ ocular or generalized myasthenia gravis (MG) on stable standard-of-care therapy and currently using pyridostigmine, pyridostigmine improves MG symptoms compared with placebo.

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Genetic Landscape and Diagnostic Outcomes of UK Patients With Congenital Myopathies and Muscular Dystrophies Over a 10-Year Period

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Case Fatality of Subarachnoid Hemorrhage by Aneurysm LocationA Population-Based Study From Finland and New Zealand

Case fatality of subarachnoid hemorrhage by aneurysm location a population-based study from finland and new zealand.

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Middle-Aged Carotid Plaque and Cognitive Functions in Later LifeA Population-Based Study

In this large cohort study, carotid plaque status at baseline was independently associated with in cognitive function decline, especially in nonverbal memory and executive functioning over 8-year follow-up period in the general population.

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Novel ADPRS Missense Variant (p.Leu162Pro) Causes Stress-Induced Childhood-Onset Neurodegeneration With Ataxia and Seizures

Novel ADPRS Missense Variant (p. Leu162Pro) Causes Stress-Induced Childhood-Onset Neurodegeneration With Ataxia and Seizures.

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Chemistry-aware AI can generate millions of plausible new molecules

Finding and developing new molecules is one of the great research endeavors of modern chemistry. From the development of new drugs to the creation of more sustainable materials, everything depends on finding new combinations of atoms with useful properties. Now, a research team from the Universitat Rovira i Virgili (URV) has developed an artificial intelligence tool capable of generating millions of new molecules which, although still unknown to science, comply with the laws of chemistry and could therefore be realistic possibilities. The research results have been published in the journal Nature Machine Intelligence.

The system, called CoCoGraph, works in a similar way to generative artificial intelligence tools for text or images, such as ChatGPT or Dall-E. “These models create new content that looks very much like the real thing. Our algorithm does the same, but with molecules,” explains Roger Guimerà, an ICREA Research Professor in the Department of Chemical Engineering at the URV.

Unlike other AI tools, however, the model does not yet respond to specific instructions. For the moment it simply carries out the more basic task of generating plausible molecules, that is, structures that comply with the rules of chemistry.

Deepfake videos degrade political reputations even when viewers realize they are fake

Artificial intelligence can be used to generate deceptive videos that damage a politician’s reputation, even when viewers suspect the footage is fake. A new study published in Communication Research found that these manipulated clips decrease support for targeted candidates. Standard fact-checking efforts reportedly fail to undo the total reputational harm.

Disinformation created using artificial intelligence is often regarded as a major threat to global elections. Technology now allows malicious actors to seamlessly replace a person’s face or clone their voice. These creations are commonly called deepfakes. Political operatives can use these tools to make opposing candidates appear to say outrageous or offensive things.

Michael Hameleers, a communication researcher at the University of Amsterdam, led a team to investigate how these videos influence the public. Hameleers and his colleagues Toni G. L. A. van der Meer, Marina Tulin, and Tom Dobber wanted to track voter reactions over time. They aimed to discover if these manipulated videos actually influence minds during an election cycle.

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