The ability to explain the prediction of deep learning models to end-users is an important feature to leverage the power of artificial intelligence (AI) for the medical decision-making process, which is usually considered non-transparent and challenging to comprehend. In this paper, we apply state-of-the-art eXplainable artificial intelligence (XAI) methods to explain the prediction of the black-box AI models in the thyroid nodule diagnosis application. We propose new statistic-based XAI methods, namely Kernel Density Estimation and Density map, to explain the case of no nodule detected. XAI methods' performances are considered under a qualitative and quantitative comparison as feedback to improve the data quality and the model performance. Finally, we survey to assess doctors' and patients' trust in XAI explanations of the model's decisions on thyroid nodule images.

Is conversational AI a blessing or curse for data? If you follow the tech industry, you’ve heard about ChatGPT. Whether you think it’s the future of chatbot technology or you’re erring on the side of caution, if you know about it, you’re bound to have an opinion. As Google confirms it’s launching a rivalling service, interacting with AI will soon become commonplace in our personal and professional lives. But what does that mean for data and analytics? Here, Jonathan Hedger, co-founder of the UK’s only data jobs board, Only Data Jobs, explores. Launched late in 2022, ChatGPT has quickly become

Grimson then turned the spotlight over to the presenting speakers: Daniel P. Huttenlocher SM '84 PhD '88, dean of the MIT Stephen A. Schwarzman College of Computing and Henry Ellis Warren (1894) Professor of Electrical Engineering and Computer Science; Mariana Arcaya MCP '08, associate professor of urban planning and public health; and Steven Truong '20, a Marshall Scholar studying computational biology at the University of Cambridge in England. Huttenlocher spoke about the role of artificial intelligence in health research. Last year, he said, faculty at MIT's Abdul Latif Jameel Clinic for Machine Learning in Health identified a new antibiotic candidate capable of killing drug-resistant bacteria. "In the search for new antibiotics, there are so many possibilities that it's not practical to try even a small fraction of them," he explained. "This is where machine learning comes in."

LAKE OSWEGO, Ore.--(BUSINESS WIRE)--Vesta, a pioneer in guaranteed payment and fraud technologies, announced today that it has hired Tan Truong as chief information officer. He will be responsible for all aspects of the company's technology, operations and product development as well as spearheading innovation globally. Truong joins Vesta after building the global issuing platform for SVM LP, a leading provider of gift and prepaid cards for the incentive industry, and has more than 15 years of experience in financial technology. His track record includes two successful exits for companies whose technology platforms and teams he helped build, with FSV Payment Systems being acquired by U.S. Bank and UniRush being acquired by Green Dot. He has worked at startups and large corporations, in both strategic and hands-on technologist roles.

When robot Nao laughs, he does so with his whole body: slapping his knees, shaking his head. But the adorable android, made by SoftBank Robotics, is not merely good at expressing mirth; he can correctly identify as much as 65 percent of happy laughter outbursts in humans, according to a study presented in 2015 at a nonverbal language workshop in the Netherlands. Once robots like Nao master human laughter, they will make far more likable and realistic companions. Nao's creators and other scientists are studying the minutiae of human laughter--acoustics, breath, body movements and vibrations--to translate them into algorithms that robots and avatars can learn. And that includes learning how to be funny. In 2016 researchers in South Korea and Singapore showed that Nao is already quite good at telling jokes.

Thuy Truong thought her aching back was just a pulled muscle from working out. But then came a high fever that wouldn't go away during a visit to Vietnam. When a friend insisted Truong, 30, go to an emergency room, doctors told her the last thing she expected to hear: She had lung cancer. Back in Los Angeles, Truong learned the cancer was at stage 4 and she had about eight months to live. "My whole world was flipped upside down," says Truong, who had been splitting her time between the San Francisco Bay Area and Asia for a new project after selling her startup.