Traditionally, numerical models have been deployed in oceanography studies to simulate ocean dynamics by representing physical equations. However, many factors pertaining to ocean dynamics seem to be ill-defined. We argue that transferring physical knowledge from observed data could further improve the accuracy of numerical models when predicting Sea Surface Temperature (SST). Recently, the advances in earth observation technologies have yielded a monumental growth of data. Consequently, it is imperative to explore ways in which to improve and supplement numerical models utilizing the ever-increasing amounts of historical observational data. To this end, we introduce a method for SST prediction that transfers physical knowledge from historical observations to numerical models. Specifically, we use a combination of an encoder and a generative adversarial network (GAN) to capture physical knowledge from the observed data. The numerical model data is then fed into the pre-trained model to generate physics-enhanced data, which can then be used for SST prediction. Experimental results demonstrate that the proposed method considerably enhances SST prediction performance when compared to several state-of-the-art baselines.

To mark Israel's Memorial Day in 2021, the Israel Defense Forces musical ensembles collaborated with a company that specializes in synthetic videos, also known as "deepfake" technology, to bring photos from the 1948 Israeli-Arab war to life. They produced a video in which young singers clad in period uniforms and carrying period weapons sang "Hareut," an iconic song commemorating soldiers killed in combat. As they sing, the musicians stare at faded black-and-white photographs they hold. The past comes to life, Harry Potter style. For the past few years, my colleagues and I at UMass Boston's Applied Ethics Center have been studying how everyday engagement with AI challenges the way people think about themselves and politics. We've found that AI has the potential to weaken people's capacity to make ordinary judgments.

In the spring of 1964, as fighting escalated in Vietnam, several dozen Americans gathered to play a game. They were some of the most powerful men in Washington: the director of Central Intelligence, the Army chief of staff, the national security advisor, and the head of the Strategic Air Command. Senior officials from the State Department and the Navy were also on hand. Players were divided into two teams, red and blue, representing the Cold War superpowers. The teams operated out of separate rooms in the Pentagon, role-playing confrontation in Southeast Asia, simulated in a neutral command center.