Should AI be worried about adversarial examples?
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…
Articles on Artificial Intelligence
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….
LPWAN stands for Low Power Wide Area Network. The technology emerged in 2013 as a class of wireless technologies suited for the needs of Machine-to-Machine communication and IoT devices. The…
Humanoid robots are robots with their bodies built to resemble those of humans. Most humanoid robots have a torso, a head, two arms, and two legs like a regular human….
Deep learning is a subset of machine learning that has networks capable of learning autonomously without human intervention from data that is unstructured or unlabeled. The deep learning algorithms require…
AR devices use GPS and compass to figure out where a person is standing and what directions he or she is facing to display images against the real-world background. But…