Why is it important to use correct Mathematical Terms?

How is Deep Learning different than Artificial Intelligence?

We colloquially use the term Artificial Intelligence and Machine Learning and Deep Learning as the same even though in practice AND theory the terms mean different things.

Don't take our word for it, take Michael Jordan's word!

No, not THAT Michael Jordan but this one! Science reported him as the world's most influential computer scientist.

Deep Learning is a field within Machine Learning, and Machine Learning is a type of Artificial Intelligence with an emphasis on "Learning" from experiments.

Precision is paramount in the world of science, where accuracy is essential to ensure the successful understanding and application of knowledge. While marketing may benefit from some degree of exaggeration, the same cannot be said for engineering, where precision is key to building effective and user-friendly products.

Our founder learned the art of Deep Learning from the renowned Geoffrey Hinton, the "Father of Deep Learning." Hinton once said, "Read enough to develop your intuitions, then trust your intuitions," which serves as an inspiration to broaden our horizons, apply our knowledge, and trust in our intuition.

Committed to Artificial Intelligence

We are fully committed to the advancement of Artificial Intelligence. Deep Learning is just one type of algorithm used in Machine Learning, which includes various principles, algorithms, and techniques such as avoiding over-fitting, reducing errors, feature extraction, error bounds, and engineering and error checking. These principles are fundamental to both Machine Learning and Deep Learning.

Although Deep Learning is currently the state-of-the-art model in the field, we are dedicated to staying at the forefront of research and development. As the industry evolves, we remain adaptable and committed to pursuing even greater heights of achievement.