Lifeboat Foundation: Safeguarding Humanity
Toggle light / dark theme

Blog

Category: robotics/AI – Page 1461

There are 40.3 million victims of human trafficking globally, according to the International Labor Organization. Marinus Analytics, a startup based in Pittsburgh, Pennsylvania, hopes to make a dent in that number. The company’s mission is to “serve those working on the frontlines of public safety by developing technology for them to disrupt human trafficking, child abuse, and cyber fraud.” For its achievements, Marinus won $500,000 as part of its third-place ranking in the 2021 IBM Watson AI XPRIZE competition. The startup is the brainchild of three co-founders: Cara Jones, Emily Kennedy, and Artur Dubrawski, who launched it out of the Robotics Institute at Carnegie Mellon University in 2014.

Marinus implements its mission primarily through its set of AI-based tools called Traffic Jam, whose goal is “to find missing persons, stop human trafficking and fight organized crime.”

Traditionally, finding a missing person would involve taping a picture of the person on the computer and then manually combing through thousands, if not millions, of online ads on adult services websites to see if any of the posted pictures match. Such a process is time-consuming and tiring. A human detective’s attention can start flagging after long hours at the computer doing the same task endlessly.

Read more | >

Okay…very odd indeed.

As already mentioned, the Saudi Arabian Government officially granted Sophia citizenship in 2017. She is the first and only robot to be an official citizen of a country. Her citizenship sparked some controversy, and not just from people who don’t think robots deserve rights. Rather, many people pointed out the contrast to women’s rights in the country.

Read: A Never-Before-Seen Type of Signal Has Been Detected in The Human Brain

Continue reading “World’s First Robot Citizen Sophia Said She Wants To Have A Baby” | >

What if you could gain 100x more data insights? Agile mobile robots bring your sensors to your industrial assets, collecting critical data at the source. Join t… See More.

Unlocking the Future of Asset Management with Agile Mobile Robots.

Wednesday, november 3rd at 11 AM ET

What if you could have 100x more data insights? Agile mobile robots like Spot bring sensors to industrial assets, collecting critical information at the source. By combining your Industry 4.0 investments with more frequent autonomous inspections, you will collect the volume of data your artificial intelligence programs need for advanced predictive maintenance.

Continue reading “Webinar: Unlocking the Future of Asset Management with Agile Mobile Robots” | >

DNA contains the genetic information that influences everything from eye color to illness and disorder susceptibility. Genes, which are around 20,000 pieces of DNA in the human body, perform various vital tasks in our cells. Despite this, these genes comprise up less than 2% of the genome. The remaining base pairs in the genome are referred to as “non-coding.” They include less well-understood instructions on when and where genes should be created or expressed in the human body.

DeepMind, in collaboration with their Alphabet colleagues at Calico, introduces Enformer, a neural network architecture that accurately predicts gene expression from DNA sequences.

Earlier studies on gene expression used convolutional neural networks as key building blocks. However, their accuracy and usefulness have been hampered by problems in modeling the influence of distal enhancers on gene expression. The proposed new method is based on Basenji2, a program that can predict regulatory activity from DNA sequences of up to 40,000 base pairs.

Read more | >

Early in 2,021 the Stanford Virtual Human Interaction Lab looked at the psychological consequences of spending long days videoconferencing and in virtual meetings. The popularized term “Zoom fatigue,” is the result of maxing out cognitive load and even reducing effectiveness. For all of that investment in remote work technology, senior managers feel there is very little payoff.

The University of North Carolina surveyed 182 senior managers and 65% of them felt meetings kept them from completing their own work, 71% felt meetings were inefficient and unproductive, and 64% felt meetings undercut deep thinking.

As technology-dependent remote workers proliferate, new solutions are coming to the fore that may make both in-person and virtual meetings more productive.

Read more | >

There’s a lot of excitement at the intersection of artificial intelligence and health care. AI has already been used to improve disease treatment and detection, discover promising new drugs, identify links between genes and diseases, and more.

By analyzing large datasets and finding patterns, virtually any new algorithm has the potential to help patients — AI researchers just need access to the right data to train and test those algorithms. Hospitals, understandably, are hesitant to share sensitive patient information with research teams. When they do share data, it’s difficult to verify that researchers are only using the data they need and deleting it after they’re done.

Secure AI Labs (SAIL) is addressing those problems with a technology that lets AI algorithms run on encrypted datasets that never leave the data owner’s system. Health care organizations can control how their datasets are used, while researchers can protect the confidentiality of their models and search queries. Neither party needs to see the data or the model to collaborate.

Read more | >

Researchers from Georgia Tech University’s Center for Human-Centric Interfaces and Engineering have created soft scalp electronics (SSE), a wearable wireless electro-encephalography (EEG) device for reading human brain signals. By processing the EEG data using a neural network, the system allows users wearing the device to control a video game simply by imagining activity.

Read more | >