Artificial Intelligence Future

 approaching science meaning The term "approaching science" refers to the process of gaining knowledge and understanding about a particular scientific subject or field. It can involve various activities such as research, experimentation, observation, analysis, and critical thinking. The goal of approaching science is to increase one's understanding and knowledge of a subject, and to use this knowledge to make predictions, solve problems, and make informed decisions.

Scientists caught radio waves from other worlds with the help of AI Humans have always been interested in unraveling the mysteries of the universe away from Earth. For this kind of discovery, the astronomy program 'Breakthrough Lisson', running at a cost of $ 100 million, has been a big success. Scientists have received waves from the outside world. Researchers say that the possibility of life in the waves from which the waves are coming cannot be ruled out. With the help of Artificial Intelligence (AI), scientists have detected 72 new fast radio explosions (FRBs) coming from FRB-121102, according to an announcement made late Monday. Let us tell you that this galaxy is about 3 billion light-years away from our Milky Way 'Milky Way'. Search Connection  Let us tell you that the first announcement regarding the identification of FRB-121102 was made last year and the credit for this discovery goes to the postdoctoral researcher Dr. Vishal Gajjar of the University of Califor

Cooking a data science project using Kaggle dataset and kernel We are working together to use fresh materials (data), to prepare them using different tools, and to work together with a delicious result - a published dataset and some quiet analysis that we are sharing with the world. Working with dataset and kernel We will pull public data from the city of Los Angeles open data portal, including environmental health violations from restaurants in Los Angeles. So we will create new datasets using the data, and work together on the kernel before releasing it into the world. In this blog you will learn: How to create a new, private, Kaggal dataset from raw data How to share your dataset before making it public to those involved in your collaboration Adding helpers to private kernels How to use helpers in Koggle kernels Data is most powerful when it is reproducible code and shared with experts and the community at large. By placing data and code on a shared, consistent platform, you get the