AI Articles and Reports about Research and development

Explore articles and reports related to artificial intelligence for research and development, including drug development, discovery, legal research, and more.

Modeling Biology with Machine Learning - with Turbine.ai's CEO Kristóf Zsolt Szalay

Modeling Biology with Artificial Intelligence – with Turbine.ai’s CTO Kristóf Zsolt Szalay

Episode Summary: This episode explores the ways in which artificial intelligence has the potential to revolutionize the field of medicine. This week's guest, Turbine.ai's Dr. Kristóf Zsolt Szalay speaks to this topic, discussing research that hopes to create automated learning networks and algorithms designed to predict the development of human cells in response to drugs. This technological innovation would make it possible for near-instantaneous simulations to be run, allowing optimal combinations and optimal doses of drugs to be pinpointed and distributed to patients.

Qrativ's Murali Aravamudan on "What's Possible" for AI in Drug Discovery

Qrativ’s Murali Aravamudan on “What’s Possible” for AI in Drug Discovery

Episode summary: In this episode, we talk to Murali Aravamudan, Founder and CEO of AI-driven drug discovery startup Qrativ, a joint venture by the Mayo Clinic and biotech/data science firm nference. Murali and I discuss the surge of medical information and data in the medical industry, the role of artificial intelligence in developing drugs for treatments to various diseases, and the future of AI in drug discovery.

Machine Learning Drug Discovery Applications - ....

Machine Learning Drug Discovery Applications – Pfizer, Roche, GSK, and More

Discovering a new drug is a long, expensive and often haphazard process. Thousands of compounds are subject to a progressive series of tests, and only one might turn out to be a viable drug. Any tool which can speed up just one of these steps in this long multi-step process would have big implications down the entire chain. This is why some of the largest pharmaceutical companies are turning to AI to help the process.

Machine Learning in Genomics - Current Efforts and Future Implications

Machine Learning in Genomics – Current Efforts and Future Applications

Genomics is a branch of molecular biology focused on studying all aspects of a genome, or the complete set of genes within a particular organism. Today, machine learning is playing an integral role in the evolution of the field of genomics.

Obstacles to Progress in Machine Learning - for NLP, Autonomous Vehicles, and More

Obstacles to Progress in Machine Learning – for NLP, Autonomous Vehicles, and More

Episode summary: Machine learning currently faces a number of obstacles which prevent it from advancing as quickly as it might. How might these obstacles be overcome and what impact would this have on the machine learning across different industries in the coming decade? In this episode we talk to Dr. Hanie Sedghi, Research Scientist at the Allen Institute for Artificial Intelligence, about the developments in core machine learning technology that need to be made, and that researchers and scientists are working, on to further the application of machine learning in autonomous vehicles.

The Self-Driving Car Timeline 950×540

The Self-Driving Car Timeline – Predictions from the Top 11 Global Automakers

A company by company examination of the top car makers public investment and statements by their top executives makes it clear that most car companies are betting that artificial intelligence utalized in self-driving will be inevitable, and they're all jumping in with investment and initiatives.

Research and development

Explore articles and reports related to artificial intelligence for research and development, including drug development, discovery, legal research, and more.