MIT and Google researchers discover how GPT-3 can learn new tasks with minimal data
Similar research is being conducted by a team from the same Massachusetts Institute of Technology and the joint MIT and IBM Watson Artificial Intelligence Laboratory. They have developed a technique that allows the model to quantify uncertainty more efficiently with less computing power than is used in other techniques. It also does not require additional data. This technique does not involve additional retraining or model modification, and can be used in most applications. It includes a simple complementary model that helps the basic ML model calculate uncertainty.
In recent years, the term “Internet of Things” (IoT) has become one of the most popular in the tech world. It promised to connect billions of devices. The next stage was the Industrial Internet of Things (IIoT), which brought revolutionary changes to production processes. Today, a new term is coming onto the scene – AIoT (Artificial Intelligence of Things), combining the capabilities of the Internet of Things with the power of AI.
Sixty-eight IT executives from 15 countries, including Brazil, India, USA, Saudi Arabia, Turkey, Kazakhstan, and Indonesia participated in the project.
June 2024 was a very dynamic month for AI and data analytics market, marked by significant events, product launches, and industry insights.
Artem Kalivanov, CIO of Beeline Uzbekistan, discussed IT project management in terms of project definition, management models like Waterfall and Agile methodologies, and the importance of Lean in process management.