A multidisciplinary team of archaeologists and computer scientists has developed an AI capable of translating the ancient Akkadian language from cuneiform tablets almost instantly. The language, which originated from the Akkadian Empire around 2300 B.C., has hundreds of thousands of known texts, but many remain untranslated due to the time-intensive process and the limited number of experts capable of performing it. The AI was trained on samples from the Open Richly Annotated Cuneiform Corpus and can translate both from transliterations of the original texts and directly from cuneiform symbols. Despite the occasional mistranslation, the AI has performed well in testing and could be used to rapidly translate the wealth of historical information contained in these tablets. The team published their findings in the peer-reviewed PNAS Nexus and released their source code on GitHub at Akkademia.
Original article: bigthinkers
Summary by GPT
Last night, Jensen Huang of NVIDIA gave his very first live keynote in 4-years.
The most show-stopping moment from the event was when he showed off the real-time AI in video games. A human speaks, the NPC responds, in real time and the dialogue was generated with AI on the fly.
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