Mobile phone applications are already tracking intimate health data, including our sleep habits, steps walked, body measurements, nutrition, and more. Apps draw this information from the devices many of us now religiously maintain along with our daily wardrobe. In this data-hungry age, doctors and health care providers can apply artificial intelligence (“AI”) to the data to help them provide patients … Continue Reading
On May 1, 2019, the National institute of Standards and Technology (NIST) announced a Request for Information (RFI) in the Federal Register regarding ongoing efforts to develop technical standards for artificial intelligence (AI) technologies and the identification of priority areas for federal involvement in AI standards-related activities. Responses to the RFI are due by May 31, 2019.
The RFI … Continue Reading
An ever increasing variety of companies are incorporating machine learning into their products and services. Machine learning provides the ability to quickly and accurately perform, in parellel, a large number of well-defined tasks. The accuracy will improveover time as additional data is obtaied and the machine learning model continues to “learn”. Many companies, however, are struggling with the best way … Continue Reading
The evolution of science fiction into science fact has become so prevalent it no longer attracts remark.
Technologies that once lived only in the pages of futuristic novels or the flight deck of the USS Enterprise – like the universally connected mobile phone or DNA editing – already surround us. And, from the driverless car to delivery by drone, if … Continue Reading