Key areas of AI applications, led by a Programme Director and within involvement on hand-on project-based learning and researching.
AI + New Materials
For hundreds of years, new materials were discovered through trial and error, or luck and serendipity. Now, scientists are using artificial intelligence to speed up the process.
We can use databases and computations to quickly map out exactly what makes a material so much stronger or lighter — and that has the potential to revolutionize industry after industry.
AI + Deep Learning
Deep learning is a subset of machine learning where artificial neural networks, algorithms inspired by the human brain, learn from large amounts of data.
Similarly to how we learn from experience, the deep learning algorithm would perform a task repeatedly, each time tweaking it a little to improve the outcome.
AI has continued to create huge impacts across multiple industries and continued research has changed how AI affects the robotic industry.
While there exists limited applications of AI across some industries, the technology is making a serious impact in the robotics industry and the trend doesn’t show any signs of slowing down.
Businesses these days revolve around the data. AI and big data like technologies are evolving like a key player in transforming modern business operations.
Businesses these days are making use of this technology in business intelligence decision-making, pattern analysis, and predictions.
In the financial world, what’s needed is a new tech stack that can flex and adapt to changing market and customer requirements in real-time.
AI is proving to be very effective at interpreting and recommending actions based on real-time data streams. They’re also improving customer experiences and reducing risk, two additional factors motivating lenders to upgrade their traditional tech stacks with proven new technologies.
Creativity may be the ultimate moonshot for artificial intelligence. Already AI has helped write pop ballads, mimicked the styles of great painters and informed creative decisions in filmmaking. Experts wonder, however, how far AI can or should go in the creative process.
Healthcare applications that leverage artificial intelligence could be used to make more accurate diagnoses, identify at-risk populations, manage and assign administrative resources, forecast the potential value of research projects, and better understand how patients will respond to medicines and treatment protocols.
AI will empower doctors to treat patients more efficiently, even remotely. It suggests exciting food for thought: the developing world may be able to leapfrog the developed world in healthcare delivery.
Cambridge AI is an independent education and research initiative.
It is not affiliated with Cambridge University.