Can LLMs generate better research ideas than humans? A critical analysis of creativity and feasibility
Scientists have expected a lot from Large Language Models (LLMs), especially in terms of creativity and ideation. In a recent...
A machine learning-assisted wearable sensing-actuation system could enable speech for individuals without vocal cords
Great news for those lacking vocal cords! Researchers have just come up with a new throat patch that empowers speech...
Understanding the Role of Data Collection in Machine Learning
Introduction Data collection's role in machine learning is like that of collecting the foundation blocks of a building. It provides...
Best Programming Languages to Learn for Each Purpose
As of December 2022, there are more than 700 coding languages to choose from. The primary purpose of learning programming...
Game-based learning for ML Algorithms
Introduction Games teach lessons. Research has already proven it with students. For Machine Learning (ML) algorithms, game-based learning is no...
Long Short-Term Memory (LSTM) in Different Fields
A Dense Introduction Long Short-Term Memory (LSTM) is a neural network architecture modeling temporal sequences. It's a type of recurrent...
Can a Machine Read our Memories and Comprehend them?
Once you have trained the machine to recognize and map brain activity patterns to specific memories, the next step is to create a system that can interpret the meaning of the memories.
Machine learning’s next level? “Google Translation of Animal Languages”
Is the use of Machine Learning to understand what animals say ‘a green signal towards Google translation of animal languages’ in the near future?
The future of Machine Learning
An ML, who can read minds, may be able to predict some dangerous situation before it becomes a serious incident, but they will never be able to experience the same level of fear or anxiety as you do during that time.
Machine Learning(ML) and Infinite Machine Learning(IML)
Sooner or later, we would have the infinitely intelligent machine learning, which will be able to create whatever it wants. It’ll be capable of creating infinite machine intelligence on its own and there are no rules to tell it not to do so.
