Machine Learning algorithms can predict patterns based on previous experiences. The overarching practice of Machine Learning includes both robotics (dealing with the real world) and the processing of data (the computer's equivalent of thinking). These algorithms find predictable, repeatable patterns that can be applied to eCommerce, Data Management, and new technologies such as driverless cars. The full impact of Machine Learning is just starting to be felt, and may significantly alter the way products are created, and the way people earn a living.
Artificial Intelligence (AI) is a concept that has a long standing tradition in the realm of science-fiction, popularized by Hollywood movies and iconic writers such as Isaac Asimov. However, AI has also received increased attention in recent years following news of progress in the field and the prospect of new, tangible, innovation such as self-driving cars. The Internet has played an important role in these developments, particularly as the platform for AI enabled services – some with significant implications for the continued development of a trusted Internet.
MIT research scientist Richard Fletcher directs the Mobile Technology Group at MIT D-Lab, which develops a variety of mobile sensors, analytic tools, and diagnostic algorithms to study problems in global health and behavior medicine. Utilizing mobile technologies -- which include smartphones, wearable sensors, and the so-called internet of things -- his group applies these technologies to real-world social problems with global implications. These issues involve a variety of areas, such as environmental monitoring and air pollution, agriculture, farming, and global health.
Many of us like to think that artificial intelligence could help eradicate biases, that algorithms could help humans avoid hiring or policing according to gender or race-related stereotypes. But a new study suggests that when computers acquire knowledge from text written by humans, they also replicate the same racial and gender prejudices--thus perpetuating them.
"We build IoT infrastructure products - when you have to integrate different devices, different systems and cloud you have to build an application to do that but we eliminate the need to build an application. Our products can integrate any device, any system, any cloud regardless of protocol," explained Peter Jung, Chief Product Officer at Pulzze Systems, in this SYS-CON.tv