Lifeboat Foundation

Nice research paper on Quantum Neural Networks for BMI related technologies. This is not a new article and more of a study published in 2014. Quantum Bio will change BMI.

Another version of this topic.

A novel neural information processing architecture inspired by quantum mechanics and incorporating the well-known Schrodinger wave equation is proposed in this paper. The proposed architecture referred to as recurrent quantum neural network (RQNN) can characterize a nonstationary stochastic signal as time-varying wave packets. A robust unsupervised learning algorithm enables the RQNN to effectively capture the statistical behavior of the input signal and facilitates the estimation of signal embedded in noise with unknown characteristics.

Continue reading “Quantum Neural Network-Based EEG Filtering for a Brain–Computer Interface” »

Everyone knows prevention is better than a cure, and that’s as true for law enforcement as it is for medicine. But there’s little evidence that a growing trend towards “predictive policing” is the answer, and it could even bake in racial bias.

Police departments faced with tight budgets are increasingly turning to machine learning-enabled software that can sift through crime data to help predict where crimes are likely to occur and who might commit them.

Using statistics in law enforcement is nothing new. A statistical system for tracking crime called Compstat was pioneered in New York in 1994 and quickly became popular elsewhere. Since then, crime has fallen 75 percent in New York, which has been credited by some to the technology. But while Compstat simply helped identify historical hotspots, “predictive policing” uses intelligent algorithms to forecast tomorrow’s hotspots and offenders.

Continue reading “Could Predictive Policing Lead to a Real-Life Minority Report?” »

SWARM still only restricts itself to sample sets/ group representation of the population. And, when we place AI in this mix; I get concerned still where daily lives are impacted by decisions coming out from this model. For example, I would hate to see laws and policies rely on SWARM data reasoning as Laws and Policies often have special exceptions that Judges and Policy makers must still have the ability to call not AI with SWARM.

US intelligence is investing millions of dollars in a global research effort to boost analytical thinking by unlocking the reason in crowds.

Bohr’s atomic model was utterly revolutionary when it was presented in 1913 but, although it is still taught in schools, it became obsolete decades ago. However, its creator also developed a much wider-ranging and less known quantum theory, the principles of which changed over time. Researchers at the University of Barcelona have now analysed the development in the Danish physicist’s thought — a real example of how scientific theories are shaped.

Most schools still teach the atomic model, in which electrons orbit around the nucleus like the planets do around the sun. The model was proposed more than a century ago by Danish physicist Niels Bohr based on Rutherford’s first model, the principles of classical mechanics and emerging ideas about ‘quantisation’ (equations to apply initial quantum hypotheses to classical physical systems) advanced by Max Planck and Albert Einstein.

As Blai Pié i Valls, a physicist at the University of Barcelona, explains: “Bohr published his model in 1913 and, although it was revolutionary, it was a proposal that did little to explain highly varied experimental results, so between 1918 and 1923 he established a much more wide-ranging, well-informed theory which incorporated his previous model.”

Nice new algorithm for humanoid systems.

A person dissipates various kind of emotion during the daily conversation. The expression actually depends on the statement of the narrator but, sometimes it is very difficult to perceive someone’s sentiment behind the speech. To unveil the emotion behind someone’s speech, scientists created an artificial intelligence algorithm.

Continue reading “MIT Researchers Created An Algorithm That Can Detect Emotion During The conversation” »

Andrew Ng (left), Chief Scientist at Baidu and Eric Horvitz (right), Managing Director at Microsoft Research.

If the internet was the birth of the digital revolution, then today’s artificial intelligence is its first baby steps toward maturity.

Today, A.I. researchers feed an algorithm data and painstakingly help it learn.

Continue reading “How Will Robots Learn?” »

A little delayed in sharing this.

Threats posed by adaptive radars to electronic warfare systems are a colossal challenge for the U.S. Navy, but a combo of advanced signal processing, intelligent algorithms, and machine learning techniques are being developed to help warfighters detect and counter them.

Electronic warfare (EW) systems – whether on land or aboard U.S. military ships and aircraft – tap the electromagnetic spectrum to sense, protect, and communicate. But, when necessary, these same systems can be turned against adversaries to deny their ability to disrupt or use radio, infrared, or radar signals.

Continue reading “Cognitive electronic warfare: Countering threats posed by adaptive radars” »

What if we could find one single equation that explains every force in the universe? Professor Michio Kaku explores how physics could potentially shrink the science of the big bang into an equation as small as E=mc².

Influencing elections? Perturbed, Kosinski clicked through the pages. What kind of company was this? And what were these people planning?

Psychologist Michal Kosinski developed a method to analyze people in minute detail based on their Facebook activity. Did a similar tool help propel Donald Trump to victory? Two reporters from Zurich-based Das Magazin (where an earlier version of this story appeared in December in German) went data-gathering.

On November 9 at around 8.30 AM., Michal Kosinski woke up in the Hotel Sunnehus in Zurich. The 34-year-old researcher had come to give a lecture at the Swiss Federal Institute of Technology (ETH) about the dangers of Big Data and the digital revolution. Kosinski gives regular lectures on this topic all over the world. He is a leading expert in psychometrics, a data-driven sub-branch of psychology. When he turned on the TV that morning, he saw that the bombshell had exploded: contrary to forecasts by all leading statisticians, Donald J. Trump had been elected president of the United States.

Continue reading “The Data That Turned the World Upside Down” »