Scientists have published the full genome sequence of the mysterious giant squid, which seems to hint at the creature's high intelligence. An international research team found that their genes look a lot like other animals – with a genome size not far behind that of humans. The mysterious squid, Architeuthius dux, has eyes as big as dinner plates and tentacles that snatch prey from 10 yards away. Its average length is around 33 feet – approximately the size of an average-sized school bus. But these legendary creatures are notoriously elusive and sightings are rare, making them difficult to study.
Fox News Flash top headlines for Jan. 17 are here. Check out what's clicking on Foxnews.com Not much is known about the mysterious giant squid, a creature that was first captured on film in 2005. Now, researchers have decoded the giant cephalopod's genome, hoping to unlock more secrets about the legendary squid. The research, published in Giga Science, notes the giant squid has an enormous genome, with an estimated 2.7 billion DNA base pairs.
Deep learning researchers are hitting the books. By building AI tools to transcribe historical texts in antiquated scripts letter by letter, they're creating an invaluable resource for researchers who study centuries-old documents. Many old documents have been digitized as scans or photographs of physical pages. But while obsolete scripts like Greek miniscule or German Fraktur may be readable by experts, the text on these scanned pages is neither legible to a broad audience nor searchable by computers. Hiring transcribers to turn manuscripts into typed text is a lengthy and expensive process.
The world of academia is generally not known for being on the cutting edge of technology. However, as technology rapidly advances, historians and researchers can utilize both artificial intelligence (AI) and deep learning to make their jobs easier. Artificial intelligence is the ability for a machine to imitate intelligent human behavior. Deep learning, a subset of machine learning, is the intermediary between machine learning and neural networks. Deep learning provides a fast and relatively easy way to process massive amounts of data, much of which would be tedious and time consuming for a human to process; because of this, pattern recognition is one of deep learning's greatest strengths.
In its first issue of 2010, the scientific journal Nature looked forward to a dazzling decade of progress. By 2020, experimental devices connected to the internet would deduce our search queries by directly monitoring our brain signals. Crops would exist that doubled their biomass in three hours. Humanity would be well on the way to ending its dependency on fossil fuels. It warned that all these advances could be derailed by mounting political instability, which was due to peak in the US and western Europe around 2020. Human societies go through predictable periods of growth, the letter explained, during which the population increases and prosperity rises. Then come equally predictable periods of decline. In recent decades, the letter went on, a number of worrying social indicators – such as wealth inequality and public debt – had started to climb in western nations, indicating that these societies were approaching a period of upheaval. The letter-writer would go on to predict that the turmoil in the US in 2020 would be less severe than the American civil war, but worse than the violence of the late 1960s and early 70s, when the murder rate spiked, civil rights and anti-Vietnam war protests intensified and domestic terrorists carried out thousands of bombings across the country. The author of this stark warning was not a historian, but a biologist.