Centuries-old genetic material can solve historical mysteries, from lost species to what killed Napoleon's army. A glowing, digital double helix represents the billions of base pairs scientists analyze when sequencing ancient DNA. Breakthroughs, discoveries, and DIY tips sent every weekday. In 1976, workers excavating a tunnel for the Toronto subway system came across some very old bones. Using radiocarbon dating, researchers determined the partial cranium and fragments of antlers were roughly 12,000 years old.

Science Archaeology The real killer of Napoleon's army revealed by DNA testing It wasn't typhus that plagued his troops. Breakthroughs, discoveries, and DIY tips sent every weekday. Napoleon Bonaparte's catastrophic invasion of the Russian Empire remains one of history's greatest military blunders . In the summer of 1812, the French emperor set out across Eastern Europe's Neman River with over 615,000 Grand Army troops intent on forcing their foe to agree to a continental blockade against the United Kingdom. In less than six months, over a half a million of Napoleon's soldiers had succumbed to starvation, hypothermia, and disease .

No living human can imagine what it was like to sit at The Last Supper or stand in Cleopatra's court, but AI has provided us with a look at these epic events - and from a first-person perspective. A freelance film editor recently shared a gallery of realistic images showing historical figures snapping selfies, which he spent months working out a formula of prompts, language and photographic elements. Duncan Thomsen, 53, used the software Midjourney, which generates images from natural language descriptions, also shows smiling soldiers at the Battle of Waterloo and the Battle of Agincourt, along with a grinning Napoleon. 'The results are hilarious, and everyone I've shared my work with can't believe how real the pictures really look,' said Thomsen. 'I've done Cleopatra, Queen Elizabeth I, Henry VIII, Jesus and many more.' AI is making waves in the image industry, letting anyone create realistic content just by telling the system what they want.

Two extremely rare "unreleased, one-of-a-kind, never-digitized" Nintendo NES games have appeared on eBay, according to a tweet from the Video Game History Foundation's Frank Cifaldi, seen by Kotaku. One of those, called Battlefields of Napoleon, was only ever released in Japan. The other is a cartridge from Rare, and appears to be the demo of one of the few games ever developed for the Nintendo Power Glove. According to the eBay listing for Battlefields of Napoleon, the game was "rescued from a dumpster after The Learning Company acquired Brøderbund in 1998 and subsequently discarded most of the historical assets." The items in the lot include a WATA certified prototype on a development board and two additional CHR ROMs.

One thing I've been thinking about is how to integrate Graph Theory to my HistoryMaps project. Perhaps GT can suggest possible correlation or relationship between events.This isn't a proposal. I really would like to know what can be done using GT. Events with causal relationships are easy to spot. But, there are probably other events that are related but these signals are hidden.

AN ARTIST has used artificial intelligence to create human-like portraits from statues and paintings of famous faces. If you've ever wondered what the Statue of Liberty or Michelangelo's David statue would look like as real people then take a look below. Dutch artist Bas Uterwijk used AI to create the photo-style portraits. He focused on well-known figures including Vincent Van Gogh and Napoleon Bonaparte. The deep learning technology enabled him to take a photo of a statue or a painting and turn it into a more human-like face.

Even the best photographers occasionally take blurred photos. This is probably not yours; It is the crime of the camera, the light or the wind that causes you to shake, but with the artificial intelligence developed, you no longer have to worry about blurry photos. A group of researchers from Duke University said that the latest algorithm developed outperformed other photo correction methods. Maybe you won't look different than you are, but the photos you take will be clearer than ever before. The tool was developed by Duke University researchers as a new approach to photo correction.

In modern mathematics, many of the biggest advances are great elaborations of theory. Mathematicians move mountains, but their strength comes from tools, highly sophisticated abstractions that can act like a robotic glove, enhancing the wearer's strength. John Conway was a throwback, a natural problem-solver whose unassisted feats often left his colleagues stunned. Original story reprinted with permission from Quanta Magazine, an editorially independent publication of the Simons Foundation whose mission is to enhance public understanding of science by covering research develop ments and trends in mathe matics and the physical and life sciences. "Every top mathematician was in awe of his strength. People said he was the only mathematician who could do things with his own bare hands," said Stephen Miller, a mathematician at Rutgers University.

As the core systems of Total War have been established and redefined in the franchise - a point I have discussed in the first two parts of this series - there is always a need to strive for better. RTS games continue to be one of the most demanding domains for AI to operate within and as such we seek new inspiration from outside of game AI practices. With this in mind, I will be taking a look at 2013's Total War: Rome II - one of the most important games in the franchise when it comes to the design and development of AI practices. So let's take a look at what happened behind the scenes and what makes Rome II such a critical and vital step in Total Wars future progression. In part 2 of this series we concluded with an overview of the dramatic changes to the underlying AI systems in Total War with the release of Empire, followed by Napoleon in 2009 and 2010 respectively.

At what point did we create an artificial intelligence? Was it when we first chiseled on rocks the memory of our debts? Was it that point when we enhanced reasoning by exploring possibilities in the arena of a game? Or when we solved a problem of inference beyond our merely fleshy ability to calculate? The dream of a fully autonomous artificial intelligence, stuff of infinite science-fiction prognostication, has blinded us to the incremental nature of artificial intelligence.