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5 Machine Learning Projects for Healthcare

Electronically stored medical imaging data is plentiful and Machine Learning algorithms can be fed with this type of dataset, to detect and uncover patterns and anomalies. In this article, I will introduce you to five machine learning projects for healthcare. Machines and algorithms can interpret imaging data just as a highly trained radiologist could identify suspicious spots on the skin, lesions, tumours and bleeding in the...

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Introducing completely free datasets for data-driven deep reinforcement learning

Introducing completely free datasets for data-driven deep reinforcement learning In this blog post, I’m introducing the new datasets for data-driven deep reinforcement learning, which are available for completely free! What is data-driven deep reinforcement learning? Data-driven reinforcement learning (RL) is a paradigm that RL algorithms achieve policies to maximize rewards within the offline data, unlike online RL that...

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The future of Design and Artificial intelligence.

The future of Design and Artificial intelligence. Since the beginning of time designs have been manual, I mean artists had to take time, assemble all the required tool prepare scribes, papers and painting surfaces days before the actual date of doing the art. There’s no doubts that over the past hundred years the world of creatives and artists have experienced the influence of technology to how they work on their pieces of art....

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Big Things Are About To Happen: Google Releases Objectron Dataset

For evaluation of 3D object detection, we have the 3D counterpart of IoU (Intersection over Union) i.e. 3D IoU. This works by finding the intersection points of the 3D bounding boxes and then, using volume instead of area to do the calculation of IoU. The Areas That Will Be Disrupted Augmented Reality This is the field that will most benefit from this dataset. Datasets with indoor objects are less publicly available while most of...

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Big Things Are About To Happen: Google Releases Objectron Dataset

For evaluation of 3D object detection, we have the 3D counterpart of IoU (Intersection over Union) i.e. 3D IoU. This works by finding the intersection points of the 3D bounding boxes and then, using volume instead of area to do the calculation of IoU. The Areas That Will Be Disrupted Augmented Reality This is the field that will most benefit from this dataset. Datasets with indoor objects are less publicly available while most of...

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Dealing with the Incompleteness of Machine Learning

Dealing with the Incompleteness of Machine Learning The prospect of automating every aspect of human life is exciting. Imagine humans permanently living a life of leisure and machine learning robot labor picking up the slack! Even though this sounds like a recipe for lazy and depressed humans, we can still be useful to each other by building communities surrounded by interests and companionship. And gaining fulfillment that we...

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3 Must-Know Sorting Algorithms

Merge sort The merge sort algorithm is a little more complicated to grasp but it is more efficient than the previous two algorithms. It performs better in terms of time complexity. This algorithm has two parts. First part is the merge function that merges two sorted lists in a way that the resulting list is sorted. Please note that the lists must be sorted for the merge function to work. The merge function first compares the...

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People Intelligence Platforms Can Boost Productivity | Peoplelogic.ai

People Intelligence Platforms Can Boost Productivity | Peoplelogic.ai “I can’t wait to go back to normal.” You’ve probably said it yourself, or at least heard it, in the past few weeks. That phrase has to be one of the most commonly uttered phrases since the start of the pandemic. However, most people have realized that life will not be going back to normal anytime soon, as COVID-19 cases are spiking worldwide, and...

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Python影像辨識筆記(二十二):Scaled-YOLOv4: Scaling Cross Stage Partial Network相關連結與介紹

Python影像辨識筆記(二十二):Scaled-YOLOv4: Scaling Cross Stage Partial Network相關連結與介紹 論文連結 GitHub Repo 新增的功能 對比舊版的PyTorch_YOLOv4,這個版本的程式碼支援多GPU訓練、高Batch size訓練(batch = 64,每個epochs約15分鐘)、resume training 使用方法 以yolov4-csp branch在TWCC國網中心的主機為例: pip install...