AI GLOSSARY

Continuous Metalearning

Continuous Metalearning is a technological capability that allows AI models to optimise their learning process and adapt to changes in the real world. It offers protection from the risks associated with misaligned AI and enables models to get better over time.

Resources:

Continue learning...

5 min read

Insuring Against AI Risk: An interview with Mike Osborne

by Nick Sherman

When used by malicious actors or without considerations for transparency and responsibility, AI poses significant risks. Mind Foundry is working with...

7 min read

Machine Learning Types and Their Infrastructure Use Cases

by Kimberly Joly

AI and Machine learning is a complex field with numerous models and varied techniques. Understanding these different types and the problems that each...

6 min read

The Business of AI in UK Defence and National Security

by Al Bowman

While the technical aspects of an AI system are important in Defence and National Security, understanding and addressing AI business considerations...

AI GLOSSARY

Continuous Metalearning

All Terms

A B C D E F G H I J K L M N O P Q R S T U V W X Y Z

A

B

C

D

E

F

G

H

I

L

M

N

O

P

R

S

T

U