Artists

Hista, Robert

Honey, I Shrunk the Audience (known as MicroAdventure! in Tokyo Disneyland) was a 4D film spin-off of the Honey, I Shrunk the Kids film series that was shown at several Disney theme parks. The audience wore 3D glasses, and the gimbal-mounted theater would shake and rock, creating the illusion of moving along with the characters in the film.

Histia family?

Historical de la Vendée

Historical Design Inc.

Historic Lincoln Trust

Hitch, Stewart

James Maitland Stewart (May 20, 1908 – July 2, 1997) was an American actor and military aviator. Known for his distinctive drawl and everyman screen persona, Stewart appeared in 80 films from 1935 to 1991. With the strong morality he portrayed both on and off the screen, he epitomized the "American ideal" in the mid-twentieth century. His films are considered some of the greatest films of all time. In 1999, the American Film Institute (AFI) ranked him third on its list of the greatest American male actors; he received numerous honors including the AFI Life Achievement Award in 1980, the Kennedy Center Honor in 1983, as well as the Academy Honorary Award and Presidential Medal of Freedom, both in 1985. Born and raised in Indiana, Pennsylvania, Stewart started acting while at Princeton University. After graduating, he began a career as a stage actor making his Broadway debut in the play Carry Nation (1932). He landed his first supporting role in The Murder Man (1935) and had his breakthrough in Frank Capra's ensemble comedy You Can't Take It with You (1938). He later starred in Capra's political comedy Mr. Smith Goes to Washington (1939), and Ernst Lubitsch's romantic comedy The Shop...

Hitoshi Ujiie

Hito Steyerl

Hitzler, Franz

Neuro-symbolic AI is an artificial intelligence paradigm that combines neural networks, particularly deep learning, with symbolic AI based on formal logic and knowledge representation. This integration serves to address the inherent limitations of the two approaches, resulting in AI systems that exhibit enhanced interpretability, robustness, and generalizability, while maintaining reasoning, learning, and cognitive modeling capabilities. As argued by Leslie Valiant and others, the effective construction of rich computational cognitive models demands the combination of symbolic reasoning and efficient machine learning. Gary Marcus argued, "We cannot construct rich cognitive models in an adequate, automated way without the triumvirate of hybrid architecture, rich prior knowledge, and sophisticated techniques for reasoning." Further, "To build a robust, knowledge-driven approach to AI we must have the machinery of symbol manipulation in our toolkit. Too much of useful knowledge is abstract to make do without tools that represent and manipulate abstraction, and to date, the only known machinery that can manipulate such abstract knowledge reliably is the apparatus of symbol manipulation...

Hiwasaki Takao

H., J.

Hjalmar Armfelt