Lifeboat Foundation: Safeguarding Humanity
Toggle light / dark theme

Blog

Category: robotics/AI – Page 2,539

Building a Google for the dark web

I can honestly state there is already one that folks are using; I would suggest DARPA should assess it and maybe acquire it. As it would give them a jump start and they can enhance it for their own needs.

In today’s data-rich world, companies, governments and individuals want to analyze anything and everything they can get their hands on – and the World Wide Web has loads of information. At present, the most easily indexed material from the web is text. But as much as 89 to 96 percent of the content on the internet is actually something else – images, video, audio, in all thousands of different kinds of nontextual data types.

Further, the vast majority of online content isn’t available in a form that’s easily indexed by electronic archiving systems like Google’s. Rather, it requires a user to log in, or it is provided dynamically by a program running when a user visits the page. If we’re going to catalog online human knowledge, we need to be sure we can get to and recognize all of it, and that we can do so automatically.

How can we teach computers to recognize, index and search all the different types of material that’s available online? Thanks to federal efforts in the global fight against and weapons dealing, my research forms the basis for a new tool that can help with this effort.

Meet Prosthesis, the terrifying 14ft-tall ‘anti-robot’ that runs 20mph

Meet ‘Prosthesis’, the terrifying 14ft-tall ‘anti-robot’ that can carry a human and run over 20mph almost SILENTLY…

A 14-foot-tall exo-bionic racing robot could soon be tearing across the Nevada desert.

Exhibitors revealed the massive Prosthesis bot at CES 2017 in Las Vegas today, and they say it can hit a top speed of roughly 20 miles per hour – and despite its imposing size, it’s nearly silent when it moves.

The 7,700lb ‘anti-robot’ is controlled by a human pilot who stands at the center of the mechanical exoskeleton, using arm movements to drive it forward at terrifying speeds.

10 Powerful Examples Of Artificial Intelligence In Use Today

Not sure where the author got his messaging on AI and QC (namely AI more fluid and human like due to QC); but it sounds a lot like my words. However, there is one lost piece to the AI story even with QC to make AI more human like and that is when you have Synbio involved in the mix. In fact I can not wait to see what my friend Alex Zhavoronkov and his team does with QC in his anti-aging work. I expect to see many great things with QC, AI, and Synbio together.

Nonetheless, I am glad to see others also seeing the capability that many of us do see.

Applications of Artificial Intelligence In Use Today

Beyond our quantum-computing conundrum, today’s so-called A.I. systems are merely advanced machine learning software with extensive behavioral algorithms that adapt themselves to our likes and dislikes. While extremely useful, these machines aren’t getting smarter in the existential sense, but they are improving their skills and usefulness based on a large dataset. These are some of the most popular examples of artificial intelligence that’s being used today.

#1 — Siri

Everyone is familiar with Apple’s personal assistant, Siri. She’s the friendly voice-activated computer that we interact with on a daily basis. She helps us find information, gives us directions, add events to our calendars, helps us send messages and so on. Siri is a pseudo-intelligent digital personal assistant. She uses machine-learning technology to get smarter and better able to predict and understand our natural-language questions and requests.

Continue reading “10 Powerful Examples Of Artificial Intelligence In Use Today” | >

Model sheds light on inhibitory neurons’ computational role

Researchers at MIT’s Computer Science and Artificial Intelligence Laboratory have developed a new computational model of a neural circuit in the brain, which could shed light on the biological role of inhibitory neurons — neurons that keep other neurons from firing.

The model describes a neural circuit consisting of an array of input neurons and an equivalent number of output neurons. The circuit performs what neuroscientists call a “winner-take-all” operation, in which signals from multiple input neurons induce a signal in just one output neuron.

Using the tools of theoretical computer science, the researchers prove that, within the context of their model, a certain configuration of inhibitory neurons provides the most efficient means of enacting a winner-take-all operation. Because the model makes empirical predictions about the behavior of inhibitory neurons in the brain, it offers a good example of the way in which computational analysis could aid neuroscience.

Capturing the Intelligence of the Crowd: How to Create Your Own Super AI

In Brief

  • Numerai is making a collective artificial intelligence in order to make stock market predictions.
  • So far, their data scientists have submitted over 12 billion equity price predictions in less than a year

There’s a new way to make stock market predictions. One company, Numerai, is synthesizing machine intelligence to command the capital of an American hedge fund.

The team outlines the focus of their work, asserting that they take the most accurate and original machine learning models from the world’s best data scientists and synthesize them into “a collective artificial intelligence.” This AI controls the capital in Numerai’s hedge fund.

/* */