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Introducing BELDD (BEL-based Deepfake Detector)

Our team at BEL Research is working on the Deepfake Detection Challenge. It’s currently the biggest challenge in AI worldwide and the goal is to identify manipulated video content. It’s an extremely challenging and computationally expensive task for the computers to detect fake videos. Even it’s very hard for humans to identify some of the…
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The New York University Tests ‘Radiology Assistant’ Powered by Artificial Intelligence

The New York University Tests ‘Radiology Assistant’ Powered by Artificial Intelligence

Combination of AI & Radiologists More Accurately Identified Breast Cancer There are several challenges for radiologists when screening mammography. For instance, some women develop breast cancer but are required to undergo additional screening tests, such as MRI and ultrasounds. This makes diagnosis not only costly, but also adds tremendous stress to the patients.  Deploying…
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Physicists Train the Oscillatory Neural Network to Recognize Images

A new paper by physicists from Petrozavodsk State University proposes a novel method for oscillatory/spiking neural network (SNN) to recognize and categorize simple images. The advantage of oscillatory networks with adjustable synchronous state of individual neurons is that their dynamics are more similar to the neuronal networks in the actual brain. An oscillatory or Spiking…
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Standard Life Aberdeen harnesses artificial intelligence to pick stocks

When human beings falter, try a machine. That seems to be the approach at Standard Life Aberdeen, which is turning to artificial intelligence to run a new investment fund that it hopes will grow into a $10 billion blockbuster. The investment manager has announced plans for the use of machine-learning to identify which shares to…
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