Optimizing AI algorithms with gradient descent
ML algorithms and deep learning neural networks work on a set of parameters like weights and biases, and a cost function that evaluates how good a set of parameters is….
Insights on AI, machine learning, computer vision, and enterprise technology.
ML algorithms and deep learning neural networks work on a set of parameters like weights and biases, and a cost function that evaluates how good a set of parameters is….
The US stock market amounts to over USD 30 trillion. It is so massive that it accounts for about half of the global equity value. Hence, it provides ample opportunities…
The term last mile is used in context with different industries, such as for e-commerce industry the last mile is the delivery of product from the warehouse to the customer’s…
Whether you’ve eaten a bit too much at Thanksgiving or had a cheat day, such small negligence can have a severe impact on your health, if you’ve been advised a…
Adversarial examples are inputs to AI algorithms that are intentionally designed and fed into algorithms by a hacker or an attacker to make them predict erroneously. Adversarial examples can be…
Application Specific Integrated Circuit chips, better known as ASIC chips are microchips that are designed for specific applications, such as for developing and training AI algorithms. Currently, there are four…
AI is being implemented on a large scale in the medical and healthcare industry. Plastic surgery, being a part of the healthcare domain can leverage the benefits of AI too….