Advances in materials technology since the ‘80s have yielded tremendous innovations, from smartphones to silicon. Now Intel Labs’ new research efforts to investigate and develop advanced AI algorithms and technologies aim to accelerate more economical discovery of new material systems.
Improving Brain Tumor Segmentation at the Edge
When it comes to treating brain tumors, early detection is critical for the best outcomes. In this episode of “Health and Life Sciences at the Edge,” Intel’s Abhishek Khowala and Séverine Habert discuss enhancements in brain tumor segmentation, including how the OpenVINO™ toolkit can optimize MRI results.
Thrill-K: A Blueprint for the Next Generation of Machine Intelligence
Thrill-K is a proposed architectural blueprint for next-gen AI systems that uses the three levels of knowledge: instantaneous knowledge, standby knowledge, and retrieved external knowledge. Intel’s Gadi Singer explores how applying this architecture can result in sustainable and viable cognitive AI.
Can AI Help Companies Struggling With the Great Resignation?
Amid workforce gaps and talent losses, Pymetrics’ AI platform provides an alternative to traditional HR hiring practices. Learn how the company’s AI-powered assessments help companies reduce human bias to identify quality candidates, hire more equitably, reduce turnover rates, and enhance performance.