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EfficientDet: Scalable and Efficient Object Detection

Here is our pytorch implementation of the model described in the paper EfficientDet: Scalable and Efficient Object Detection paper (Note: We also provide pre-trained weights, which you could see at ./trained_models)
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TensorFlow 2 quickstart for beginners

This is a Google Colaboratory notebook file. Python programs are run directly in the browser—a great way to learn and use TensorFlow
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10 Best Frameworks and Libraries for AI (Part 2)

Look at some high-quality libraries that are used for artificial intelligence, their pros and cons, and some of their features.
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10 Best Frameworks and Libraries for AI (Part 1)

Look at some high-quality libraries that are used for artificial intelligence, their pros and cons, and some of their features.
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Python Introduction

Python is an open source, object-oriented, high-level powerful programming language.
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Open Source Software Tracks Neural Activity in Real Time
AI

CaImAn, a new open source software, allows for real time tracking of the location and activity of neurons, researchers report.
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Less-invasive procedure helps surgeons pinpoint epilepsy surgical candidates
AI

A minimally invasive procedure to determine whether patients with drug-resistant epilepsy are candidates for brain surgery is safer, more efficient, and leads to better outcomes than the traditional method
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A robotic leg, born without prior knowledge, learns to walk
AI

An AI-controlled robotic limb driven by animal-like tendons can be tripped and recover before the next foot step, though not programmed to do so
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AI and MRIs at birth can predict cognitive development at age 2
AI

A deep learning model uses white matter connectomes generated from MRI images taken at birth to accurately predict an infant’s cognitive development at age two.
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When robots commit wrongdoing, people may incorrectly assign the blame
AI

As robots become more autonomous, people will regard them as more responsible for accidental wrongdoing.
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Heads in the cloud: Scientists predict internet of thoughts ‘within decades’

Researchers predict the development of a brain/cloud interface that connects neurons to cloud computing networks in real time.
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A comprehensive map of how Alzheimer’s affects the brain
AI

Axon myelination is significantly disrupted in patients with Alzheimer’s disease. Researchers also found brain cells of men and women vary significantly in how their genes respond to the neurodegenerative disease.
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Artificial neural networks can be used to drive brain activity
AI

Current deep learning models are able to create images strongly enough to activate specific neurons in the visual cortex. However, researchers say more accurate artificial neural network models should be developed to help produce more accurate control.
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Dataset bridges human vision and machine learning

BOLD5000, a new, large scale data set of brain scans of people viewing images, is helping researchers to better understand how the brain processes images. The data set is a big step towards using computer visual models to study biological vision.
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AI can detect depression in a child’s speech
AI

An auditory-based machine learning algorithm was able to identify children diagnosed with depression and anxiety with 80% accuracy after analyzing recordings of their speech.
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“Number sense” arises from the recognition of visible objects
AI

Results from a new artificial intelligence study indicate number sense is spontaneously created by the visual system, without prior experience of counting.
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Using artificial intelligence to determine whether immunotherapy is working
AI

Researchers use AI with routine CT scans to predict how well lung cancer patients will respond to expensive treatment based off changes in texture patterns inside and outside the tumor
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Legal experts grapple with copyright when it comes to works created using artificial intelligence

Legal experts differ over whether the lack of copyright protection for AI-created works will help or hinder the development of the technology
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Artificial intelligence tool vastly scales up Alzheimer’s research
AI

A convolutional neural network algorithm is able to process an entire whole brain slice slide with 98.7% accuracy. The technology could help speed up the diagnosis of Alzheimer’s disease.
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How Artificial Intelligence Will Impact Major Industries

artificial intelligence processes become more prevalent in major industries across the world, many people are becoming worried that these machines will replace workers in these industries
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Why video games and board games aren’t a good measure of AI intelligence

An interview with Google’s François Chollet on progress in AI
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Zebra Medical Vision Announces Agreement With DePuy Synthes

the deep learning medical imaging analytics company, announces today a global co-development and commercialization agreement
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New Findings Show AI Software Improves Breast Cancer Detection and Physician Accuracy

A group of breast radiologists using the second opinion software found cancer detection rates increased while simultaneously reducing false positive biopsy rates up to 20% over the 18 month timeframe.
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Twitter image colors and content could help identify users with depression, anxiety
AI

Combining artificial intelligence and computer vision technology, researchers were able to determine anxiety and depression risks from peoples’ Twitter profile pictures.
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Artificial Intelligence transforms oil and gas

Both for operations and exploration, AI is set to radically reduce the costs of extracting a key energy source.
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Children describe technology that gives them a sense of ambiguity as ‘creepy’

Children consider technologies that pose an ambiguous threat as ‘creepy’. Researchers pinpoint five aspects of technology that contribute to the feeling of ambiguity, examples of which are lack of control, ominous physical appearance and mimicry.
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How Internet of Things and Artificial Intelligence pave the way to climate neutrality

Communication makes the right points when they promise to accelerate the energy transition and clearly state that Artificial Intelligence,
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AI used to detect brain’s response to multiple sclerosis treatment

Combining artificial intelligence technology with MRI brain scans, researchers are able to detect the brain’s response to Natalizumab treatment for those with relapsing-remitting multiple sclerosis.
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Artificial Intelligence Is Helping Identify Thousands of Unknown Civil War Soldiers

William Kendall Crossfield, a Peterborough, N.H. native, was having a rest during the battle of Fredericksburg when he was shot in the neck while turning over.