An Intro to Generative Adversarial Networks (GANs): Potential & Today’s Application

Adversarial networks are a type of machine learning that take an opposing approach to training a model. Instead of being taught how to make predictions based on data, GANs are taught how to fight back against them. In other words, GANs are trained to generate fake predictions by modeling human behavior and artificial intelligences in […]

Computer Vision in Self-Driving Cars

Self-driving cars have long been the holy grail of automated driving. The technology is getting more and more advanced, with several car companies working on their own autonomous vehicle platforms. Companies are racing to produce affordable, reliable, and safer self-driving cars that can be used on a global scale. Artificial Intelligence (AI) is playing an […]

On Nanotechnology

Nanotechnology is the study of small matter in all its forms, from subatomic particles to molecules, polymers, and crystal lattices. It is a broad subject, encompassing nanometer -billionth of a meter -nano-particle physics. There are many sub-fields of Nanotechnology, such as Molecular Nanotechnology, Material Nano-technology, and Energy Nano-technologies. We will discuss the scientific and technological […]

Security in Machine Learning

As the demand for the ability to analyze data to drive business decisions and action increases, so too does the need for data security. With every new breach, device manufacturer or service provider ID monitoring app, or other data source comes a greater demand for end-to-end encryption across all channels of communication. This is especially […]

Deep Learning & Differences from other Fields

Deep learning is a subfield of Machine Learning that focuses on the study of large-scale computer programs that can perform tasks efficiently and effectively, especially when they are dealing with very high-dimensional data. In other words, Deep learning deals with AI that goes beyond being able to recognize images or videos in order to understand […]