Lifeboat Foundation

AI And Robots For Law And Order — Irakli Beridze — Head, Artificial Intelligence and Robotics, UNICRI – United Nations Interregional Crime and Justice Research Institute.

Irakli Beridze is the Head of the Centre for Artificial Intelligence and Robotics at The United Nations Interregional Crime and Justice Research Institute (UNICRI).

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In mobile application development, server-side storage of the application’s data remains top priority. In particular, many developers have begun using backend APIs that enable their apps to query a server for information in real time rather than reply upon static data stored in files. However, as many cloud storage services have been found to use unsecured configurations, data on thousands of mobile applications could be at risk.

A main challenge arises when the task of securing the configurations of these services falls upon the app developers rather than the provider, such as Amazon AWS, Google’s Firebase Storage or Azure by Microsoft. When developers use these storage services for the very purpose of having their API security taken care of, they invest the majority of their efforts into building the apps rather than protecting stored information. Such an oversight could threaten many app developers as well as their employers and users.

In 2021, the mobile security company Zimperium found that over 14 percent of mobile apps using cloud storage face risks due to unsecured configurations. This research has revealed that, globally and across all industries, various apps are vulnerable to the exposure of publicly identifiable information (PII), fraud and unregulated internal IP/configuration sharing.

Today, machine learning permeates everyday life, with millions of users every day unlocking their phones through facial recognition or passing through AI-enabled automated security checks at airports and train stations. These tasks are possible thanks to sensors that collect optical information and feed it to a neural network in a computer.

Scientists in China have presented a new nanoscale AI optical circuit trained to perform unpowered all-optical inference at the speed of light for enhanced authentication solutions. Combining smart optical devices with imaging sensors, the system performs complex functions easily, achieving a neural density equal to 1/400th that of the human brain and a computational power more than 10 orders of magnitude higher than electronic processors.

Imagine empowering the sensors in everyday devices to perform artificial intelligence functions without a computer—as simply as putting glasses on them. The integrated holographic perceptrons developed by the research team at University of Shanghai for Science and Technology led by Professor Min Gu, a foreign member of the Chinese Academy of Engineering, can make that a reality. In the future, its neural density is expected to be 10 times that of human brain.

The National Security Commission on Artificial Intelligence’s recent report is a “wake-up call” in part because of one country: China.

Retaining the current dwindling edge will take White House leadership and a substantial investment, according to the National Security Commission on Artificial Intelligence.

In partnership with InQtel Emerge, DARPA is expanding its successful Embedded Entrepreneurship Initiative to aggressively accelerate 150 DARPA-backed technologies out of the lab and into products. https://www.darpa.mil/news-events/2021-02-23a

In partnership with InQtel Emerge, DARPA is expanding its successful Embedded Entrepreneurship Initiative to aggressively accelerate 150 DARPA-backed technologies out of the lab and into products. https://t.co/Okrfi1lM9W pic.twitter.com/zsmTiEmYXa

— DARPA (@DARPA) February 23, 2021

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The 15-member commission calls a $40 billion investment to expand and democratize AI research and development a “modest down payment for future breakthroughs,” and encourages an attitude toward investment in innovation from policymakers akin that which led to building the interstate highway system in the 1950s. Ultimately, the group envisions hundreds of billions of dollars of spending on AI by the federal government in the coming years.

The National Security Commission on AI report makes recommendations ranging from 5G and China to immigration policy and civil rights.

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You’ve heard of Apple’s famous walled garden, the tightly controlled tech ecosystem that gives the company unique control of features and security. All apps go through a strict Apple approval process, they are confined so sensitive information isn’t gathered on the phone, and developers are locked out of places they’d be able to get into in other systems. The barriers are so high now that it’s probably more accurate to think of it as a castle wall.

Innovative silicon solutions provider HPQ Silicon Resources Inc. (“HPQ” or the “Company”), announced that it has received the TREKHY® system, a portable hydrogen-based mini-power generator, jointly developed by the French companies Apollon Solar SAS (“Apollon”) and Pragma Industries SAS (“Pragma”).

While continuing to work with Apollon on the development of new generations of more efficient silicon powders for hydrogen production, HPQ signed a Memorandum of Understanding with Apollon and Pragma to study the commercial potential of the TREKHY® autonomous power generator in Canada.

The TREKHY® provides energy on demand. The system uses a compact fuel cell to provide electrical power. The integrated fuel cell combines hydrogen and oxygen to provide useful electricity + H₂O. Hydrogen is produced through a chemical reaction resulting from contact between water and a powder bag. Each bag delivers 30W of power for more than one hour. (Video of the system in operation). In January 2021, a Japanese distributor purchased 300 TREKHY® systems to equip the survival shelters of the Japanese Civil Security.

We’ve all met people so smart and informed that we don’t understand what they’re talking about. The investment advisor discussing derivatives, the physician elaborating about B cells and T cells, the auto mechanic talking about today’s computerized engines—we trust their decisions, even though we do not completely grasp the meaning of their words.