Scientists propose putting nanobots in our bodies to create ‘global superbrain’

A team has proposed using nanobots to create the ‘internet of thoughts’, where instant knowledge could be downloaded just by thinking it.

An international team of scientists led by members of UC Berkeley and the US Institute for Molecular Manufacturing predicts that exponential progress in nanotechnology, nanomedicine, artificial intelligence (AI) and computation will lead this century to the development of a human ‘brain-cloud interface’ (B-CI).

Writing in Frontiers in Neuroscience, the team said that a B-CI would connect neurons and synapses in the brain to vast cloud computing networks in real time.

Such a concept isn’t new with writers of science fiction, including Ray Kurzweil, who proposed it decades ago. In fact, Facebook has even admitted it is working on a B-CI.

However, Kurzweil’s fantasy about neural nanobots capable of hooking us directly into the web is now being turned into reality by the senior author of this latest study, Robert Freitas Jr.

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World’s First ‘Living Robot’ Invites New Opportunities And Risks

A team of researchers from the University of Vermont and Tufts University has succeeded in developing robots composed exclusively of living biological cells. Dubbed “xenobots,” these living robots can perform a range of basic functions, from locomotion and object manipulation to collective behavior. Their creation promises to deliver significant advances in biology and in medicine, in particular. However, it also potentially carries serious risks, insofar as the researchers themselves admit that experimenting with living cells creates the scope for unforeseen consequences.

Putting such risks aside for one moment, the team’s development of “xenobots” is impressive. First, the scientists at Vermont simulated possible configurations of individual biological cells on a supercomputer. They used what’s called an evolutionary algorithm to test thousands of possibilities and find the best candidates, ‘best’ in terms of the known biophysics of biological cells, which in this case were frog cells.

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BWI Airport Embraces LiDAR To Enforce Social Distancing

Baltimore/Washington International Thurgood Marshall Airport (BWI) has welcomed in the new year with Light Detection and Ranging (LiDAR) technology informing travelers at one security checkpoint whether they’re properly social distancing, according to Airport World.

The LiDAR technology measures travelers’ movements with laser sensors, including the number of people waiting in line. Automated tracking software firm CrowdVision installed the new sophisticated technology at Security Checkpoint B of BWI.

The system notifies travelers on a giant screen whether social distancing is satisfactory. If lines at the security checkpoint are too dense, the system will encourage those waiting in line to practice more social distancing.

“Safe, healthy travel remains our priority,” said BWI’s executive director, Ricky Smith.

“Since the outset of the pandemic, BWI Marshall Airport has implemented many measures to help protect passengers and employees. This innovation provides real-time data on passenger flow so we can notify travelers and manage separation,” Smith said. 

Among other global airports, BWI could be one of the first to embrace LiDAR technology to enforce social distancing.

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MICROSOFT PATENT SHOWS PLANS TO REVIVE DEAD LOVED ONES AS CHATBOTS

Microsoft has been granted a patent that would allow the company to make a chatbot using the personal information of deceased people.  

The patent describes creating a bot based on the “images, voice data, social media posts, electronic messages”, and more personal information.

“The specific person [who the chat bot represents] may correspond to a past or present entity (or a version thereof), such as a friend, a relative, an acquaintance, a celebrity, a fictional character, a historical figure, a random entity etc”, it goes on to say.

“The specific person may also correspond to oneself (e.g., the user creating/training the chat bot,” Microsoft also describes – implying that living users could train a digital replacement in the event of their death.

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This Site Published Every Face From Parler’s Capitol Riot Videos

WHEN HACKERS EXPLOITED a bug in Parler to download all of the right-wing social media platform’s contents last week, they were surprised to find that many of the pictures and videos contained geolocation metadata revealing exactly how many of the site’s users had taken part in the invasion of the US Capitol building just days before. But the videos uploaded to Parler also contain an equally sensitive bounty of data sitting in plain sight: thousands of images of unmasked faces, many of whom participated in the Capitol riot. Now one website has done the work of cataloging and publishing every one of those faces in a single, easy-to-browse lineup.

Late last week, a website called Faces of the Riot appeared online, showing nothing but a vast grid of more than 6,000 images of faces, each one tagged only with a string of characters associated with the Parler video in which it appeared. The site’s creator tells WIRED that he used simple open source machine learning and facial recognition software to detect, extract, and deduplicate every face from the 827 videos that were posted to Parler from inside and outside the Capitol building on January 6, the day when radicalized Trump supporters stormed the building in a riot that resulted in five people’s deaths. The creator of Faces of the Riot says his goal is to allow anyone to easily sort through the faces pulled from those videos to identify someone they may know or recognize who took part in the mob, or even to reference the collected faces against FBI wanted posters and send a tip to law enforcement if they spot someone.

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Dems deploying DARPA-funded AI-driven information warfare tool to target pro-Trump accounts

An anti-Trump Democratic-aligned political action committee advised by retired Army Gen. Stanley McChrystal is planning to deploy an information warfare tool that reportedly received initial funding from the Defense Advanced Research Projects Agency (DARPA), the Pentagon’s secretive research arm — transforming technology originally envisioned as a way to fight ISIS propaganda into a campaign platform to benefit Joe Biden.

The Washington Post first reported that the initiative, called Defeat Disinfo, will utilize “artificial intelligence and network analysis to map discussion of the president’s claims on social media,” and then attempt to “intervene” by “identifying the most popular counter-narratives and boosting them through a network of more than 3.4 million influencers across the country — in some cases paying users with large followings to take sides against the president.”

Social media guru Curtis Hougland is heading up Defeat Disinfo, and he said he received the funding from DARPA when his work was “part of an effort to combat extremism overseas.”

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How “Smart” Bulbs Track Your Behavior (Even When Lights Are Turned Off) and Why Manufacturers Want Your Data

Privacy and security experts have warned for many years about privacy and cybersecurity risks associated with ALL “Smart” and wireless technology – cell phones (see 123), medical devices and implants (see 12), personal and “Smart” home devices and wearables (see 123456), utility “Smart” meters (electric, gas, and water), and everything that uses Internet of Things (IoT) technology (see 1, 2). Last month, researchers from Carnegie Melon University proposed product warning labels that would make it easier for consumers to understand this.

Of course, manufacturers may not be in a hurry to use them because their “Smart” products allow them to collect data on consumers to analyze and sell to 3rd parties.  This is referred to as “Surveillance Capitalism.” “Smart” light bulbs can be used for this as well.

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DHS’s Facial/Iris Recognition Can ID Airline Passengers Wearing Masks

It is official, unless airline passengers are willing to wear motorcycle helmets or Daft Punk style masks, the Feds can use facial and iris recognition to identify nearly everyone.

According to an S&T press release, a pilot program run by DHS proves they can use facial/iris recognition to identify airline passengers.

The in-person rally, held at the Maryland Test Facility (MdTF), included 10 days of human testing during which six face and/or iris acquisition systems and 13 matching algorithms were tested with help from 582 diverse test volunteers representing 60 countries.

What is DHS’s so-called motivation to ID everyone?

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