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Sunday, August 15, 2021

Brain-Inspired Electronics: An Artificial Ionic Neuron for Tomorrow’s Electronic Memorie



TOPIC: Artificial Intelligence Brain


Brain-inspired electronics are the subject of intense research. Scientists from CNRS and the Ecole Normal Superieure – PSL have theorized how to develop artificial neurons using, like nerve cells, ions to carry the information. Their work, published in Science on August 6, 2021, reports that devices made of a single layer of water transporting ions within graphene nanoslits have the same transmission capacity as a neuron.


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Friday, August 13, 2021

AI in Biometrics and Security – Current Business Applications.

 Biometric solutions are typically used for security and access control across businesses and government organizations. 

The U.S. government has taken a keen interest in biometric applications and has been aggressively funding advanced research programs in businesses that offer biometrics.

 

NO 1. Organizations Offering Biometric Solutions

 c. Onfido – Facial Biometrics


London-based Onfido is an online digital verification platform for businesses. Among other compliances and clearances, Onfido also uses facial biometrics,

 as an additional layer of security, to verify individual persons. The company said it uses machine learning technology to validate a user’s identity and cross-reference it against international credit and watchlist databases.

The video below demonstrates the use of facial biometrics on the Onfido mobile website,

which seems to be integrated with a banking platform. The volunteer is asked to verify her identity using two steps. First, photos of her driver’s license are scanned online.

For video : 

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Monday, August 9, 2021

AI in Biometrics and Security – Current Business Applications.

Biometric solutions are typically used for security and access control across businesses and government organizations. 

The U.S. government has taken a keen interest in biometric applications and has been 

aggressively funding advanced research programs in businesses that offer biometrics.

 

NO 1. Organizations Offering Biometric Solutions

 b. Crossmatch – ‘Composite’ Biometric Authentication

Crossmatchclaims to be a “risk-based composite authentication and biometric identity management” company. 

In  2014, it merged with Digital Persona, another biometric company, to launch its key biometric solution platform for enterprises called DigitalPersona Composite Authentication.

The platform offers the “broadest set of authentication factors,” including fingerprint scanning, face and voice recognition, and behavioral biometrics, 

such as keystroke, swipe, and mouse action tracking, the company said. In November 2017, Crossmatch announced its partnership with BehavioSec, 

a Sweden-based behavioral biometrics company, which powers the behavioral biometric analyses functions of DigitalPersona.

In September 2017, Crossmatch partnered with Oxford Computer Group, a Microsoft Gold Partner that offers identity and security solutions. 

This announcement claims that the DigitalPersona software will be offered to Oxford’s Microsoft customer base.

The video below shows use cases of its various biometric solutions for law enforcement, 

including the Digital Persona  ID, an app that comes with fingerprint recognition software,

which helps store and identify security and agency personnel through their biometric information. 


for video: 

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Friday, August 6, 2021

Robotics and COVID-19: Highlights from A3’s panel discussion with four top leaders

As the world continues to fight the spread of the COVID-19 pandemic, robots and automation are playing a critical role in helping to safeguard people while helping make and deliver critical supplies to health care workers and to the public as they shelter in place.

On April 8, the Association for Advancing Automation (A3) convened a live online panel with four industry leaders in the robotics industry:

  • Mike Cicco, President and CEO, FANUC America












  • Milton Guerry, PresidentSCHUNK USA








  • Melonee Wise, CEO and Founder, Fetch Robotics











  • Jürgen von Hollen, President, Universal Robots













The panel, moderated by Robert Huschka, the director of education strategies at A3, featured a wide-ranging conversation, covering topics such as the economic impact to automation, supply change disruptions, key business insights and crisis leadership. More than 900 attendees watch the discussion live, which was sponsored by Miller Resource Group.


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Monday, August 2, 2021

AI in Biometrics and Security – Current Business Applications.

 Biometric solutions are typically used for security and access control across businesses and government organizations. 

The U.S. government has taken a keen interest in biometric applications and has been 
aggressively funding advanced research programs in businesses that offer biometrics.

NO 1. Organizations Offering Biometric Solutions
a.Tygart Technology – Facial Recognition from Videos



Tygart Technology said it provides video and photographic analysis as well as biometric recognition systems for state and federal government clients in the United States.


Its key product is MXSERVER, a server-based “video, and photo forensic analysis system.”  
The system processes video and photo collections extracted from confiscated computers, mobile phones, SIM cards, and video surveillance systems into searchable resources.
The company also said it serves the FBI by providing operation and maintenance services for its automated, national fingerprint identification system.

The video below re-enacts a “real-word scenario,” where MXSERVER could be put to use.


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Thursday, July 29, 2021

Giving Robots Better Moves: Combining Unique Gripper Designs With AI and Machine Vision

 



MIT alumnus-founded RightHand Robotics has developed picking robots that are more reliable and adaptable in warehouse environments.

For most people, the task of identifying an object, picking it up, and placing it somewhere else is trivial. For robots, it requires the latest in machine intelligence and robotic manipulation.

That’s what MIT spinoff RightHand Robotics has incorporated into its robotic piece-picking systems, which combine unique gripper designs with artificial intelligence and machine vision to help companies sort products and get orders out the door.

“If you buy something at the store, you push the cart down the aisle and pick it yourself. When you order online, there is an equivalent operation inside a fulfillment center,” says RightHand Robotics co-founder Lael Odhner ’04, SM ’06, PhD ’09. “The retailer typically needs to pick up single items, run them through a scanner, and put them into a sorter or conveyor belt to complete the order. It sounds easy until you imagine tens of thousands of orders a day and more than 100,000 unique products stored in a facility the size of 10 or 20 football fields, with the delivery expectation clock ticking.”

RightHand Robotics is helping companies respond to two broad trends that have transformed retail operations. One is the explosion of e-commerce, which only accelerated during the Covid-19 pandemic. The other is a shift to just-in-time inventory fulfillment, in which pharmacies, grocery stores, and apparel companies restock items based on what’s been purchased that day or week to improve efficiency.


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Monday, July 26, 2021

Researchers Enable AI To Use Its “Imagination” – Closer to Humans’ Understanding of the World

 




Researchers Enable AI To Use Its “Imagination” – Closer to Humans’ Understanding of the World

“Humans can separate their learned knowledge by attributes—for instance, shape, pose, position, color—and then recombine them to imagine a new object. Our paper attempts to simulate this process using neural networks.”



The science of imagination

In this new study, the researchers attempt to overcome this limitation using a concept called disentanglement. Disentanglement can be used to generate deep fakes, for instance, by disentangling human face movements and identity. By doing this, said Ge, “people can synthesize new images and videos that substitute the original person’s identity with another person, but keep the original movement.”

Similarly, the new approach takes a group of sample images—rather than one sample at a time as traditional algorithms have done—and mines the similarity between them to achieve something called “controllable disentangled representation learning.”


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