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Something called the fast Fourier transform is running on your cell phone right now. The FFT, as it is known, is a signal-processing algorithm that you use more than you realize. It is, according to the title of one research paper, “an algorithm the whole family can use.”

Alexander Stoytchev—an associate professor of electrical and computer engineering at Iowa State University who’s also affiliated with the university’s Virtual Reality Applications Center, its Human Computer Interaction graduate program and the department of computer science—says the FFT and its inverse (known as the IFFT) are at the heart of signal processing.

And, as such, “These are algorithms that made the digital revolution possible,” he said.

Linksys, a division within Belkin International and Foxconn Interconnect Technology, has announced that it is offering a new motion detection service with its mesh Wi-Fi routers. As part of its announcement, the company said that the service will be subscription-based and will only be available (for now) with its Linksys Velop Tri-Band AC2200 routers. The new service is called Linksys Aware.

Mesh routers are designed to be placed in multiple locations in a home or business to ensure that there are no dead spots. Since the signals create a signal mesh, software in the routers detect how the signals are bounced around, creating imprints of individual rooms and what the signals look like. If signals are interrupted, it means that something is physically blocking them, such as a person. If such a blockage is detected, the routers can send a message to an app, also created by Linksys, alerting homeowners to a possible intruder.

Users who want the new service need only install the software on their current routers, along with the app—and then sign up to pay either $2.99 each month or $24.99 for a full year. The company is also offering a 90-day free trial of the service.

Sensitive synthetic skin enables robots to sense their own bodies and surroundings—a crucial capability if they are to be in close contact with people. Inspired by human skin, a team at the Technical University of Munich (TUM) has developed a system combining artificial skin with control algorithms and used it to create the first autonomous humanoid robot with full-body artificial skin.

The developed by Prof. Gordon Cheng and his team consists of hexagonal about the size of a two-euro coin (i.e. about one inch in diameter). Each is equipped with a microprocessor and sensors to detect contact, acceleration, proximity and temperature. Such artificial enables robots to perceive their surroundings in much greater detail and with more sensitivity. This not only helps them to move safely. It also makes them safer when operating near people and gives them the ability to anticipate and actively avoid accidents.

The themselves were developed around 10 years ago by Gordon Cheng, Professor of Cognitive Systems at TUM. But this invention only revealed its full potential when integrated into a sophisticated system as described in the latest issue of the journal Proceedings of the IEEE.

Researchers have found a way to marry human creativity and artificial intelligence (AI) creativity to dramatically boost the performance of deep learning.

A team led by Alexander Wong, a Canada Research Chair in the area of AI and a professor of systems design engineering at the University of Waterloo, developed a new type of compact family of neural networks that could run on smartphones, tablets, and other embedded and mobile devices.

If the race for powerful A.I. is indeed a race among civilizations for control of the future, the United States and European nations should be spending at least 50 times the amount they do on public funding of basic A.I. research. Their model should be the research that led to the internet, funded by the Advanced Research Projects Agency, created by the Eisenhower administration and arguably the most successful publicly funded science project in American history.


We need to stop pretending that Silicon Valley can compete with China on its own.

Anticipation and to remain hopeful and patient in expecting a preferred future have a special place and a critical role in some moral and religious systems of faith. As a personal virtue, there are many natural, cultural, social, and educational factors that play a role in its development. However, for an economic agent and in general forward looking decision makers who follow a more secular worldview, the argument in favor of anticipation and how much it could be reasonable might be less clear. Therefore, it is worthwhile to explore when and under which circumstances we should choose anticipation. A convincing argument might be helpful. In this blog post I will build a framework based on game theory to provide a better and deeper insight.

Economists, mathematicians, and to some degree, engineers have contributed to the development of game theory. In neoclassic economics, it is assumed that each economic agent has a rational behavior. According to the prediction model based on such an assumption, decision makers, if they sell goods and services, tend to maximize profit and if they buy tend to maximize utility. In other words, people naturally seek the best and the most. Moreover, decision making is based on the principle of “predict then act”. The individual first predicts the likely consequences of choices and attribute to them utilities. In the next step, an alternative is chosen that has the best consequence or the most utility. This camp or school is often called the normative decision analysis.

Nonetheless, empirical studies on the behavior of real decision makers demonstrate that despite the prediction of rational models of choice, the individuals or economic agents, do not always follow the principle of the best and the most. In 1950s, for instance, Herbert Simon showed that when faced with uncertainty and due to lack of information about the future, there are cognitive limits to rationality such that contrary to the neoclassic economic theory, people do not make decisions rationally and logically in search of the optimal alternative. Instead they seek a combination of satisfaction and sufficing levels of utility which is also called “satisficing”. This camp or school is often called the behavioral or descriptive decision analysis. To further explain, no one can claim that in a certain decision the best alternative has been chosen, regardless of the choice criteria or the ideal level of utility. Because there is always a better alternative than the best alternative known to us now. That better alternative either exists now beyond our awareness or will appear in the future. But we never can choose it if we do not know about it. In brief, we can possibly choose from a subset of the best, the best element.

In light of the flaws of the actual decision making by humans,

Do you really want to live forever?


My mission is to drastically improve your life by helping you break bad habits, build and keep new healthy habits to make you the best version of yourself. I read the books and do all the research and share my findings with you!

This video is “Day 0” of RAADFest 2019 in Las Vegas. I discuss various topics and will do my best at RAADFest to interview longevity experts like Bill Faloon, James Strole, Bernadeane, Liz Parrish, Dr. Aubrey de Grey, Dr. Bill Andrews, Dr. Ed Park, Dr. Duncan Ross, Ben Goertzel and hopefully many more. I’ll bring you all the major updates from RAADFest!

Many of the world’s most common or deadly human pathogens are RNA-based viruses—Ebola, Zika and flu, for example—and most have no FDA-approved treatments. A team led by researchers at the Broad Institute of MIT and Harvard has now turned a CRISPR RNA-cutting enzyme into an antiviral that can be programmed to detect and destroy RNA-based viruses in human cells.

Researchers have previously adapted the Cas13 enzyme as a tool to cut and edit human RNA and as a diagnostic to detect the presence of viruses, bacteria, or other targets. This study is one of the first to harness Cas13, or any CRISPR system, as an antiviral in cultured .

The researchers combined Cas13’s with its diagnostic capability to create a single system that may one day be used to both diagnose and treat a viral infection, including infections caused by new and emerging viruses. Their system, called CARVER (Cas13-Assisted Restriction of Viral Expression and Readout), is described today in Molecular Cell.