Malware researchers discovered a new malicious campaign for Android devices that replaces legitimate apps with tainted copies built to push advertisements or hijack valid ad events.
Around 25 million devices have already been infected with what researchers have dubbed “Agent Smith,” after users installed an app from an unofficial Android store.
https://paper.li/e-1437691924#/
Forms of Transhumanism
Transhumanism takes a variety of overlapping forms united around a common commitment to use science and technology to improve human intellect and/or physiology. Many, though not all, are committed to Posthumanism; others focus on artificial intelligence and its implications for human life. All of them raise important worldview questions, though not always the same ones.
One early form of Transhumanism was Extropianism. The name comes from the neologism extropy, a word intended to convey the reversal of entropy. Its focus is on using science, technology, and reason to take control of human evolution through life extension technologies, uploading our minds into computers, etc. An optimistic philosophy, Extropianism expected to extend human lifespans indefinitely and to recover and heal people frozen cryogenically.
A new robot arm can help people who use wheelchairs better handle the day-to-day tasks that might otherwise be too challenging or awkward.
The Jaco, a robotic arm made by the tech company Kinova Robotics, can attach to a wheelchair and operate as a sort of third arm, according to Digital Trends — helping people with limited mobility go about their lives with a greater degree of independence.
Some of you are going to want to use this tech.
In a new study published in the Proceedings of the National Academy of Sciences, researchers from University of Toronto have demonstrated a novel and non-invasive way to manipulate cells through microrobotics.
Cell manipulation—moving small particles from one place to another—is an integral part of many scientific endeavours. One method of manipulating cells is through optoelectronic tweezers (OET), which use various light patterns to directly interact with the object of interest.
Because of this direct interaction, there are limitations to the force that can be applied and speed in which the cellular material can be manipulated. This is where the use of microrobotics becomes useful.
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In the last video in this series we discussed the ancient origins of artificial intelligence progressing forward to the beginnings of the development of modern computing based artificial intelligence, encompassing the philosophies, theories and inventions of many talented individuals and groups.
The focus of this video will continue right were the last one left off, so sit back, relax and join me on an exploration on the official birth of modern artificial intelligence leading to present day!
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What Is Big Data? & How Big Data Is Changing The World! https://www.facebook.com/singularityprosperity/videos/439181406563439/
In this video, we’ll be discussing big data – more specifically, what big data is, the exponential rate of growth of data, how we can utilize the vast quantities of data being generated as well as the implications of linked data on big data.
[0:30–7:50] — Starting off we’ll look at, how data has been used as a tool from the origins of human evolution, starting at the hunter-gatherer age and leading up to the present information age. Afterwards, we’ll look into many statistics demonstrating the exponential rate of growth and future growth of data.
[7:50–18:55] — Following that we’ll discuss, what exactly big data is and delving deeper into the types of data, structured and unstructured and how they will be analyzed both by humans and machine learning (AI).
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Artificial intelligence, machine learning – these words lately have been used synonymously – but should they be?
In this third video in our artificial intelligence series and as for the purpose of this machine learning series, I’ll seek to answer that question, so sit back, relax and join me on an exploration into the field of machine learning!
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On January 20th Google’s DeepMind division, the division behind a myriad of artificial intelligence (AI) firsts, quietly submitted a paper on Arxiv entitled “PathNet: Evolution Channels Gradient Descent in Super Neural Networks” that mostly went unnoticed.
Despite their names, artificial intelligence technologies and their component systems, such as artificial neural networks, don’t have much to do with real brain science. I’m a professor of bioengineering and neurosciences interested in understanding how the brain works as a system – and how we can use that knowledge to design and engineer new machine learning models.
In recent decades, brain researchers have learned a huge amount about the physical connections in the brain and about how the nervous system routes information and processes it. But there is still a vast amount yet to be discovered.
At the same time, computer algorithms, software and hardware advances have brought machine learning to previously unimagined levels of achievement. I and other researchers in the field, including a number of its leaders, have a growing sense that finding out more about how the brain processes information could help programmers translate the concepts of thinking from the wet and squishy world of biology into all-new forms of machine learning in the digital world.