AI 네트워크 커뮤니티 여러분! 안녕하세요!2021년 1월 AI 네트워크 로드맵과 함께 돌아왔습니다 : )2020년은 저희가 예측한 대로 AI 산업에 큰 변화가 있었던 한 해였습니다. 올해 저희가 집중할 분야를 공개하기에 앞서서 저희는 지난해 AI 업계에 있었던 굵직한 소식과 함께 그러한 변화가 AI 네트워크와 어떤 관련이 있었는지를 간략히 정리해보고자 합니다.2020년에는 고급 자연어 처리 능력을 갖춘 AI가 다수 등장했습니다. 가장 뜨거운 주제는 일론 머스크가 만들어서 더 주목을 받았던 Open AI에 의한 GPT-3였습니다. GPT-3는 트랜스포머 알고리즘을 사용하여 1,750억 개의 매개 변수로 훈련돼 인간이 언어를 구사하는 것과 유사한 수준의 능력을 … [Read more...] about 2021년 1월 AI 네트워크 Monthly Update
Artificial Intelligence
Exosuit Improves Life of People with Parkinson’s
A team of researchers at the University of Harvard and Nebraska Omaha created an Exosuit that assists people with movement disorders due to, but not limited to, Parkinson’s Disease. People with other conditions such as Stroke, Multiple Sclerosis, also benefit from it. More details can be found here. It was also published in Science.The robot suit is designed to be comfortably … [Read more...] about Exosuit Improves Life of People with Parkinson’s
Types of Image Annotations for Artificial Intelligence and Machine Learning
For computer vision, there are many types of image annotations out there, and each of these annotation techniques has different applications.With these different annotation methods, are you curious about what you can achieve? Let’s take a look at the various methods of annotation used for applications of computer vision, along with some special use cases for these particular … [Read more...] about Types of Image Annotations for Artificial Intelligence and Machine Learning
11 Lessons that AI can Learn from Human Thinking |Part 1
Despite the hype surrounding AI, creating an intelligence that rivals or exceeds human levels is far more complicated than we have been led to believe. Professors Gary Marcus and Ernest Davis have spent their careers at the forefront of AI research and have witnessed some of the greatest milestones in the field, but they argue that a computer beating a human in Jeopardy! does … [Read more...] about 11 Lessons that AI can Learn from Human Thinking |Part 1
Hyperautomation- The New Way to Process Management
Hyperautomation in B2B PlatformHyperautomation is a process of converting end-to-end business activities using the help of automation Technology. It helps in the reduction in human workload and time consumption. This process is a combination of Artificial Intelligence, Machine learning, Robotics process automation, and intelligent business process management.Hyperautomation … [Read more...] about Hyperautomation- The New Way to Process Management
Membuat Aplikasi Cuaca dengan Speech Recognition
Photo by FPVmat A on UnsplashSpeech recognition atau pengenalan suara merupakan salah satu dari implementasi kecerdasan buatan (AI). Teknologi speech recognition memungkinkan sistem komputer untuk memahami dan mengenali kata — kata yang diucapkan oleh manusia. Speech recognition digunakan sebagai inti dari aplikasi asisten pribadi yang saat ini ada di ponsel pintar maupun di … [Read more...] about Membuat Aplikasi Cuaca dengan Speech Recognition
Pothole Detection System: AI-based Assessment of Roads
Pothole Detection System is a solution to automate the surveillance of roads (especially potholes) to help speed up the process of assessment of roads, which in turn would further lead to faster maintenance of roadsAccording to the data provided by the Ministry of Road Transport and Highways for India, over 9300 deaths and 25000 injuries were caused by potholes in the years … [Read more...] about Pothole Detection System: AI-based Assessment of Roads
How machine learning can be used to predict application performance
To answer this question, I did some preliminary machine learning with the csv data.I analyzed 2000 samples. Below are the first 5 training examples:The csv_tolerable (first column) is what we want to train a model to predict. True means the csv is tolerable, false means it’s not.duration_ms is how long the navigation took. It’s used to determine csv_tolerable. The last column, … [Read more...] about How machine learning can be used to predict application performance
Daily Data Science Tip #10
Photo by Rafael Pol on UnsplashWhy do we batch the dataset before training?As a Machine Learning practitioner, you’ve probably wondered why is it a standard processing tp batch training data before feeding it to a neural network?A straightforward answer is that training data or data used within neural networks are batched mainly for memory optimisation purposes. Placing a whole … [Read more...] about Daily Data Science Tip #10
Double Deep Q-Networks
Let’s recall an important definitions and formulas that we need to master before going deeper.Bellman Optimality EquationThe goal of the agent is to find a policy that satisfies the Bellman optimality equation for each state s and action a.Bellman optimality equationThis equation tells us that under the optimal policy, the Q-value of the action a and the state s is equal to the … [Read more...] about Double Deep Q-Networks