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Titanic's Scottish scapegoat is CLEARED after 113 years: 3D scans confirm First Officer William Murdoch did NOT abandon his post as the ship sank

Daily Mail - Science & tech

It has been 113 years since the Titanic sank beneath the waves, claiming the lives of more than 1,500 passengers and crew. But new evidence has finally cleared the tragedy's Scottish scapegoat: First Officer William Murdoch. For years, Officer Murdoch has been accused of taking bribes, abandoning his post, and was even depicted shooting a passenger in the James Cameron movie. Now, more than a century later, 3D scans show that Officer Murdoch did not flee his position, but died while helping passengers escape until the very end. Deep sea scanning company Magellan has snapped 715,000 photos of the Titanic wreck 12,500 feet beneath the Atlantic.


Robots Are Already Killing People

The Atlantic - Technology

The robot revolution began long ago, and so did the killing. One day in 1979, a robot at a Ford Motor Company casting plant malfunctioned--human workers determined that it was not going fast enough. And so 25-year-old Robert Williams was asked to climb into a storage rack to help move things along. The one-ton robot continued to work silently, smashing into Williams's head and instantly killing him. This was reportedly the first incident in which a robot killed a human; many more would follow.


Can We Outsource Hiring Decisions to AI and Go for Coffee Now?

#artificialintelligence

I've interviewed and hired (or not) many engineers for both large and small tech companies. Most hired worked out well; I found a few gems. I also hired a few sources of grief. The cost of a poor hire is quite high. Even in "at will" states--those that allow employers to remove an employee without cause--the process is long and expensive (largely to forestall lawsuits).


It Is Alarmingly Easy to Trick Image Recognition Systems

#artificialintelligence

Adapted from You Look Like a Thing and I Love You: How Artificial Intelligence Works and Why It's Making the World a Weirder Place, by Janelle Shane. Suppose you're running security at a cockroach farm. You've got advanced image recognition technology on all the cameras, ready to sound the alarm at the slightest sign of trouble. The day goes uneventfully until, reviewing the logs at the end of your shift, you notice that although the system has recorded zero instances of cockroaches escaping into the staff-only areas, it has recorded seven instances of giraffes. Thinking this a bit odd, perhaps, but not yet alarming, you decide to review the camera footage.


Would You Survive the Titanic? A Guide to Machine Learning in Python

@machinelearnbot

Neural networks are a rapidly developing paradigm for information processing based loosely on how neurons in the brain processes information. A neural network consists of multiple layers of node, where each node performs a unit of computation, and passes the result onto the next node. Multiple nodes can pass inputs to a single node, and vice-versa. The neural network also contains a set of weights, which can be refined over time as the network learns from sample data. The weights are used to describe and refine the connection strengths between nodes.


Microsoft will unify most 'Minecraft' platforms this summer

Engadget

Minecraft is about to enter its final form. In August, the Better Together update will land and unify the game across nearly every platform, from iOS and Android to Xbox One and Nintendo Switch. This unification comes courtesy of the Bedrock Engine, which currently powers all mobile, Windows 10, Amazon Fire and VR versions of the game. Now, it won't matter which platform your friends use to play Minecraft -- every version will be the same, they'll share DLC and updates, and all players will be able to create new worlds together. The PlayStation 4 and Xbox 360 versions of Minecraft are not included in the initial Better Together update.


Would You Survive the Titanic? A Guide to Machine Learning in Python

@machinelearnbot

I recommend using the "pip" Python package manager, which will allow you to simply run "pip3 install packagename " to install each of the dependencies: For actually writing and running the code I recommend using IPython, which will allow you to run modular blocks of code and immediately the view output values and data visualizations, along with the Jupyter Notebook as a graphical interface. With all of the dependencies installed, simply run "jupyter notebook" on the command line, from the same directory as the titanic3.xls The Data At First Glance: Who Survived The Titanic, And Why? Before we can feed our dataset into a machine learning algorithm, we have to remove missing values and split it into training and test sets. Interestingly, after splitting by class, the main deciding factor determining the survival of women is the ticket fare that they paid, while the deciding factor for men is their age(with children being much more likely to survive).


Would You Survive the Titanic? A Guide to Machine Learning in Python Part 1

@machinelearnbot

What if machines could learn? This has been one of the most intriguing questions in science fiction and philosophy since the advent of machines. With modern technology such questions are no longer bound to creative conjecture, machine learning is all around us. From deciding which movie you might want to watch next on Netflix to predicting stock market trends, machine learning has a profound impact on how data is understood in the modern era. This tutorial aims to give an accessible introduction to how to use machine learning techniques for your own projects and datasets.


Would You Survive the Titanic? A Guide to Machine Learning in Python

@machinelearnbot

Neural networks are a rapidly developing paradigm for information processing based loosely on how neurons in the brain processes information. A neural network consists of multiple layers of node, where each node performs a unit of computation, and passes the result onto the next node. Multiple nodes can pass inputs to a single node, and vice-versa. The neural network also contains a set of weights, which can be refined over time as the network learns from sample data. The weights are used to describe and refine the connection strengths between nodes.


Would You Survive the Titanic? A Guide to Machine Learning in Python

#artificialintelligence

Neural networks are a rapidly developing paradigm for information processing based loosely on how neurons in the brain processes information. A neural network consists of multiple layers of node, where each node performs a unit of computation, and passes the result onto the next node. Multiple nodes can pass inputs to a single node, and vice-versa. The neural network also contains a set of weights, which can be refined over time as the network learns from sample data. The weights are used to describe and refine the connection strengths between nodes.