AI has become a crucial enabler for many of the world’s most critical applications. From steel girders that support cities to silicon chips powering smartphones, technology companies are leveraging AI’s capacity to perform complex tasks more efficiently and accurately.
Traditional AI uses programmed rules and algorithms to interpret data to make predictions or decisions. Trained on carefully curated data, these systems are known for their accuracy and efficiency when performing repetitive tasks. They are also commonly used in business functions such as finance, healthcare and manufacturing.
Generative AI creates new content, such as text, images, music, video or software code, in response to a prompt or request. This type of AI is known for its creativity and adaptability, and it’s frequently used in industries such as entertainment and design.
Deep learning, inspired by the human brain, is enabling breakthroughs in AI such as image and speech recognition. These advances are transforming fields like security, media and accessibility.
Microsoft Research and Mayo Clinic are using multimodal foundation AI to analyze X-ray images. The work is based on an algorithm that encourages neural networks to organize their internal components similar to the structure of a human brain. This approach could increase the speed and efficiency of medical imaging and improve the quality of patient care.