Researchers at the MIT Computer Science and Artificial Intelligence Laboratory (CSAIL) and MIT-IBM Watson AI Lab recently proposed Hardware-Aware Transformers (HAT), an AI model training technique that incorporates Google’s Transformer architecture. They claim that HAT can achieve a 3 times inferencing speedup on devices like the Raspberry Pi 4 while reducing …
Read More »
As I wait for the interpreter to call the mother and then connect me into our three-way call, I berate myself for how bad my Spanish has become. I imagine it will continue to get worse. But what I am also realizing in this 30 seconds of dead airtime is …
Read More »
Google today open-sourced a machine learning model that can point to answers to natural language questions (for example, “Which wrestler had the most number of reigns?”) in spreadsheets and databases. The model’s creators claim it’s capable of finding even answers spread across cells or that might require aggregating multiple cells. …
Read More »
The phone sitting on my patient’s bedside table looked as if it had been designed by Dr. Seuss. Everything about it was wrong. It was the wrong color: a royal blue, whereas our hospital preferred neutral tones like beige, gray or white for its equipment. The wrong size: much too …
Read More »