How is AI related to physics?

Particle Physics: AI is used in high-energy physics problems. One of the biggest physics discoveries, the Higgs boson particle or “God particle”, was discovered using the neural network. This processor, along with the neural network helps to detect patterns in particle collisions.

Can we do AI after BSc physics?

You can apply for MSc artificial intelligence after completing BSc Physics but you should have mathematics as one of the main subjects in your course. The eligibity criteria states that the Candidate must have done graduation from a recognised university with atleast 55\% marks.

What is the salary for B.Sc Physics?

Salary Packages for B.Sc Physics B.Sc Physics salary varies depending on experience, study subjects, the field of specialization, a domain of expertise, job location. Graduates can expect an average B.Sc Physics jobs salary between INR 4 – 6 LPA.

What are the basics of machine learning?

Machine Learning: the Basics. Machine learning is the art of giving a computer data, and having it learn trends from that data and then make predictions based on new data.

What is the best way to learn machine learning?

Prerequisites Build a foundation of statistics,programming,and a bit of math.

Sponge Mode Immerse yourself in the essential theory behind ML.

Targeted Practice Use ML packages to practice the 9 essential topics.

Machine Learning Projects Dive deeper into interesting domains with larger projects. Machine learning can appear intimidating without a gentle introduction to its prerequisites.

What does if machine learning applied to physics?

Applying classical methods of machine learning to the study of quantum systems (sometimes called quantum machine learning) is the focus of an emergent area of physics research. A basic example of this is quantum state tomography, where a quantum state is learned from measurement.

How to learn the basics of Physics?

Learn algebra,trigonometry,and calculus.

Master Newton’s Three Laws of Motion and The First Law of Thermodynamics.

Know the definitions and mathematical representations of words.

Be able to explain ideas simply in your own words.

Don’t memorize anything.

Visualize things

Draw what you can’t easily visualize