Ehudith Bracha Serchook narrowly escaped death when her family fled Nazi-allied forces storming the Crimean city of Odesa in 1941, saved only by a lost sandal which made her miss her place on a passenger ship shortly before it was bombed. A lifetime later, 86-year-old Serchook is retelling her story via an artificial intelligence (AI) service generating images that will leave an enduring record of her trauma for future generations. Serchook is one of 19 Israelis who have so far used AI to record their memories of the Holocaust, in which 6 million Jews were killed, for a project run by the Chasdei Naomi organisation which supports the survivors. "Each one of them has a unique story and they have been through terrifying stuff," said Sol Leffler, who operates the AI software. "They are still alive today, they are still functioning and it's incredible to hear and to see it and basically to generate it into photos. I feel this our national duty to remember and not forget."

A whopping 350 years after it sank off the coast of Norfolk, authorities have revealed on Friday that HMS Gloucester has finally been found. The'outstanding' ship, which sank on May 6, 1682 after hitting the Norfolk sandbanks in the southern North Sea, was uncovered 28 miles off the coast of Great Yarmouth half-buried on the seabed. But HMS Gloucester is just one of thousands of shipwrecks that litter the British coast, the majority of which haven't been seen by the human eye for centuries. It's thought nearly 40,000 wrecks could be waiting to be found off the British coast, according to Historic England, providing snapshots of the UK's rich maritime heritage. But at least 90 are known to exist and experts have pinpointed their location, although many likely won't ever be brought to land and could disintegrate to nothing in the decades to come.

SINCE WE ARE FIRMLY CONVINCED that ideas like people have histories and can only be fully understood in the context of those histories, we will begin by discussing the underlying ideas that motivated us to initiate the Steamer effort. Without richer and more detailed understandings of the nature of these models, instructional applications will be severely limited. Graphical Interfaces for Interactave Inspectable Simulatzons - We believe that graphical interfaces to simulations of physical systems deserve extensive exploration. They make possible new types of instructional interactions by allowing one to control, manipulate, and monitor simulations of dynamic systems at many different hierarchical levels The key idea in Steamer is the conception of an znteractive inspectable simulation. We have consistently sought to make the system inspectable.

See Steamer: an Interactive Inspectable Samulation-Based Reid.

The Steamer project is a research effort concerned with exploring the use of AI software and hardware technologies in the implementation of intelligent computer-based training systems. While the project addressed a host of research issues ranging from how people understand complex dynamic systems to the use of intelligent graphical interfaces, it is focused around the construction of a system to assist in propulsion engineering instruction. The purpose of this article is to discuss the underlying ideas which motivated us to initiate the Steamer effort, describe the current status of the project, provide a glimpse of our planned directions for the future, and discuss the implications of Steamer for AI applications in other instructional domains.

The Steamer project is a research effort concerned with exploring the use of AI software and hardware technologies in the implementation of intelligent computer-based training systems. While the project addressed a host of research issues ranging from how people understand complex dynamic systems to the use of intelligent graphical interfaces, it is focused around the construction of a system to assist in propulsion engineering instruction. The purpose of this article is to discuss the underlying ideas which motivated us to initiate the Steamer effort, describe the current status of the project, provide a glimpse of our planned directions for the future, and discuss the implications of Steamer for AI applications in other instructional domains.