This site uses cookies to improve your experience. To help us insure we adhere to various privacy regulations, please select your country/region of residence. If you do not select a country, we will assume you are from the United States. Select your Cookie Settings or view our Privacy Policy and Terms of Use.
Cookie Settings
Cookies and similar technologies are used on this website for proper function of the website, for tracking performance analytics and for marketing purposes. We and some of our third-party providers may use cookie data for various purposes. Please review the cookie settings below and choose your preference.
Used for the proper function of the website
Used for monitoring website traffic and interactions
Cookie Settings
Cookies and similar technologies are used on this website for proper function of the website, for tracking performance analytics and for marketing purposes. We and some of our third-party providers may use cookie data for various purposes. Please review the cookie settings below and choose your preference.
Strictly Necessary: Used for the proper function of the website
Performance/Analytics: Used for monitoring website traffic and interactions
Lifelong Learning Models: Research aims to develop models that can learn incrementally without forgetting previous knowledge, which is essential for applications in autonomous systems and robotics.
Generalisation is vital for ensuring that Machine Learning models remain effective in real-world applications, where conditions may vary from those present during training. Adaptiveness Machine Learning algorithms are inherently adaptive; they continuouslylearn and improve as new data becomes available.
Autonomous Systems In robotics and autonomous vehicles, ANNs play a crucial role in enabling machines to perceive their environment and make decisions based on sensory input. ContinuousLearning Given the rapid pace of advancements in the field, a commitment to continuouslearning is essential.
Artificial Intelligence, on the other hand, refers to the simulation of human intelligence in machines programmed to think and learn like humans. AI encompasses various subfields, including Machine Learning (ML), Natural Language Processing (NLP), robotics, and computer vision.
Japan : Leading cloud providers including GMO Internet, Highreso, KDDI, Rutilea and SAKURA internet are building NVIDIA-powered AI infrastructure to transform industries such as robotics, automotive, healthcare and telecom.
We organize all of the trending information in your field so you don't have to. Join 15,000+ users and stay up to date on the latest articles your peers are reading.
You know about us, now we want to get to know you!
Let's personalize your content
Let's get even more personalized
We recognize your account from another site in our network, please click 'Send Email' below to continue with verifying your account and setting a password.
Let's personalize your content