Situation
The virtual Holocaust survivor: how history gained new dimensions
Pinchas Gutter goes out of his way to find me biscuits. In a sun-baked living room in his north London home, he opens a packet of Rich Tea, sits down and tells me about the Holocaust. Gutter was seven years old when the second world war broke out. He lived in the Warsaw ghetto for three and a half years, took part in its uprising, survived six Nazi concentration camps โ including the Majdanek extermination camp โ and lived through a death march across Germany to Theresienstadt in occupied Czechoslovakia. "Remembrance is the secret of redemption, while forgetting leads to exile," he says, quoting Baal Shem Tov, the founder of Hasidic Judaism.
Losing Control: The Dangers of Killer Robots
New technology could lead humans to relinquish control over decisions to use lethal force. As artificial intelligence advances, the possibility that machines could independently select and fire on targets is fast approaching. Fully autonomous weapons, also known as "killer robots," are quickly moving from the realm of science fiction toward reality. The unmanned Sea Hunter gets underway. At present it sails without weapons, but it exemplifies the move toward greater autonomy.
The Rise of Manufacturing Marks the Fall of Globalization
Whether you're reading this article on a smartphone, tablet or laptop, chances are the device in front of you contains components from at least six countries spanning three or more continents. Its sleek exterior belies the complicated and intricate set of internal parts that only a global supply chain can provide. Over the past century, finished products made in a single country have become increasingly hard to find as globalization -- weighted a term as it is -- has stretched supply chains to the ends of the Earth. Now, anything from planes, trains and automobiles to computers, cellphones and appliances can trace its hundreds of pieces to nearly as many companies around the world. And its assembly might take place in a different country still.
A glimpse into the future? (or wide of the mark?)
In 2012 they went bankrupt. And according to a recent post by Dr Robert Goldman when technological singularity really kicks in, the same fate awaits many industries over the next decade. Self-proclaimed "Antiaging & Sports Medicine Pioneer" Dr Bob is a rather exuberant character and seemingly a big friend of the stars (he is pictured on the home page of his website with the likes of Sylvester Stallone and Arnold Schwarzenegger). Yet I'm far more interested in his recent Facebook / LinkedIn post entitled'Future Predictions' which has gone viral and already been shared well over 100,000 times. Dr Goldman initially asks us to go way back to 1998 (where is the Doc's DeLorean when you need it?) It's interesting given that digital cameras had actually been invented over 20 years earlier.
All aboard the Immortality Bus: the man who says tech will help us live forever
"Political elections โ for better or worse โ have become a gameshow. The more social media, the more clickbait headlines โฆ whatever generates a lot of buzz is one way to make our mark in an election," he says. Istvan has attracted countless profiles in the international press, been followed around by two film documentary crews and has secured a TV show once the election is over. It certainly seems to be benefiting Brand Zoltan. Could it all be an elaborate strategy to boost his profile and become a media personality?
RAMSEE Is A Security Guard Robot With Infrared Vision
A lovely nonthreatening body for a robot that can see warm bodies. Gamma 2 Robotics' RAMSEE borrows the name of pharaohs, which is fitting since it works the graveyard shift. The security bot is an autonomous patrolman, rolling around empty halls and hard-to-surveil places, its LIDAR eyes and infrared cameras scanning the environment around it at all times. It is a robot built for empty spaces, alerting its human overseers to any harmful intrusion of life. And here, a pair of the robots scan a hallway before peering into the beyond.
An Introduction to Machine Learning for Cybersecurity and Threat Hunting
David: I've gone through this myself in the past couple of years. There is so much out there right now that if you have any interest in machine learning or data science topics, you can buy any number of good books that will give you overviews and get you started. There are online courses and tons of blogs that will cover a lot of this stuff. I would say the best thing to do is to get started and just try some stuff. Honestly, for basic machine learning, a good start is to take a look at our presentation.
Machine Learning Leveraged to Spot Ransomware
Everyone seemingly is complaining about the spread of ransomware, and now somebody is trying to do something about it using machine learning-based behavioral analytics techniques to track suspicious behavior on company networks. As the scale of the ransomware threat grows, including ransom payments by hospitals and universities and growing fears that it will soon spread to other sectors, a Silicon Valley security intelligence firm has rolled out an approach for detecting ransomware via machine learning. Exabeam, a specialist in user and "entity" behavior analytics based in San Mateo, Calif., unveiled its analytics approach to detecting ransomware attacks during a security conference this week. See the full story at sister publication Datanami. George Leopold has written about science and technology for more than 25 years, focusing on electronics and aerospace technology.
Losing Control: The Dangers of Killer Robots
New technology could lead humans to relinquish control over decisions to use lethal force. As artificial intelligence advances, the possibility that machines could independently select and fire on targets is fast approaching. Fully autonomous weapons, also known as "killer robots," are quickly moving from the realm of science fiction toward reality. The unmanned Sea Hunter gets underway. At present it sails without weapons, but it exemplifies the move toward greater autonomy.
Euro 2016: How Predicting The Winner Points To A Future Where Machines Make The Decisions
Ask any soccer fan who will win the Euro 2016 championship and every one of them will have an opinion, fueled by a combination of patriotism, passion and hope. It's safe to say none of them will offer an opinion based on the results of more than 36,000 soccer matches held during the past 146 years and an analysis of 94 billion outcomes. That's what researcher Michael Feindt, a particle physicist who worked at the European Organization for Nuclear Research (CERN) for six years, has done. At CERN, Feindt created an algorithm to predict collisons of particles inside the Large Hadron Collider. Now he's CEO of Blue Yonder, a startup looking to commercialize the technology in retail, logistics, manufacturing and transportation, a process he describes as finding the "the possibilities of probable futures."