Plotting

New framework for cooperative bots aims to mimic high-performing human teams

AIHub

A Georgia Institute of Technology research group in the School of Interactive Computing has developed a robotics system for collaborative bots that work independently to achieve a shared goal. The system intelligently increases the information shared among the bots and allows for improved cooperation. The aim is to model high-functioning human teams. It also creates resiliency against bad or unreliable team bots that may hinder the overall programmed goal. "Intuitively, the idea behind our new framework -- InfoPG -- is that a robot agent goes back-and-forth on what it thinks it should do with their teammates, and then the teammates will update on what they think is best to do," said Esmaeil Seraj, Ph.D. student in the CORE Robotics Lab and researcher on the project.


Day 29 : 60 days of Data Science and Machine Learning Series

#artificialintelligence

ML clustering Project 2 ( Part 2)... “Day 29 : 60 days of Data Science and Machine Learning Series” is published by Naina Chaturvedi in Coders Mojo.


5 ways to reduce compliance costs with AI and automation

#artificialintelligence

While regulations are created to protect consumers and markets, they're often complex, making them costly and challenging to adhere to. Highly regulated industries like Financial Services and Life Sciences have to absorb the most significant compliance costs. Deloitte estimates that compliance costs for banks have increased by 60% since the financial crisis of 2008, and the Risk Management Association found that 50% of financial institutions spend 6 to 10% of their revenues on compliance. Artificial intelligence (AI) and intelligent automation processes, such as RPA (robotic process automation) and NLP (natural language processing) can help drive efficiencies up and costs down in meeting regulatory compliance. In a single year, a financial institution may have to process up to 300 million pages of new regulations, disseminated from multiple state, federal, or municipal authorities across a variety of channels.


Is Artificial Intelligence Made in Humanity's Image? Lessons for an AI Military Education - War on the Rocks

#artificialintelligence

Artificial intelligence is not like us. For all of AI's diverse applications, human intelligence is not at risk of losing its most distinctive characteristics to its artificial creations. Yet, when AI applications are brought to bear on matters of national security, they are often subjected to an anthropomorphizing tendency that inappropriately associates human intellectual abilities with AI-enabled machines. A rigorous AI military education should recognize that this anthropomorphizing is irrational and problematic, reflecting a poor understanding of both human and artificial intelligence. The most effective way to mitigate this anthropomorphic bias is through engagement with the study of human cognition -- cognitive science.



The case for placing AI at the heart of digitally robust financial regulation

#artificialintelligence

"Data is the new oil." Originally coined in 2006 by the British mathematician Clive Humby, this phrase is arguably more apt today than it was then, as smartphones rival automobiles for relevance and the technology giants know more about us than we would like to admit. Just as it does for the financial services industry, the hyper-digitization of the economy presents both opportunity and potential peril for financial regulators. On the upside, reams of information are newly within their reach, filled with signals about financial system risks that regulators spend their days trying to understand. The explosion of data sheds light on global money movement, economic trends, customer onboarding decisions, quality of loan underwriting, noncompliance with regulations, financial institutions' efforts to reach the underserved, and much more. Importantly, it also contains the answers to regulators' questions about the risks of new technology itself. Digitization of finance generates novel kinds of hazards and accelerates their development. Problems can flare up between scheduled regulatory examinations and can accumulate imperceptibly beneath the surface of information reflected in traditional reports. Thanks to digitization, regulators today have a chance to gather and analyze much more data and to see much of it in something close to real time. The potential for peril arises from the concern that the regulators' current technology framework lacks the capacity to synthesize the data. The irony is that this flood of information is too much for them to handle.



How visual-based AI is evolving across industries

#artificialintelligence

Artificial Intelligence is transforming the business world as a whole with all its applications and potential, with visual-based AI being capable of digital images and videos. Visual-based AI, which refers to computer vision, is an application of AI that is playing a significant role in enabling a digital transformation by enabling machines to detect and recognize not just images and videos, but also the various elements within them, such as people, objects, animals and even sentiments, emotional and other parameters-based capabilities to name a few. Artificial intelligence is now further evolving across various industries and sectors. Transport: Computer vision aids in a better experience for transport, as video analytics combined with Automatic number plate recognition can help in tracking and tracing violators of traffic safety laws (speed limits and lane violation etc.) and stolen or lost cars, as well as in toll management and traffic monitoring and controlling. Aviation: Visual AI can help in providing prompt assistance for elderly passengers and for those requiring assistance (physically challenged, pregnant women etc.); it can also be useful in creating a new "face-as-a-ticket" option for easy and fast boarding for passengers, in tracking down lost baggage around the airport as well as in security surveillance on passengers and suspicious objects (track and trace objects and passengers relevant to it).


IKEA made a Matter-ready hub with a new smart home app to match

Engadget

IKEA continues its foray into smart home devices with the launch of a Google Matter-ready hub called DIRIGERA and a new IKEA Home smart app. With the new device and app, the Swedish company is promising to handle more smart device segments while making device integration easier. It says the app will be "convenient, easy to navigate and user-friendly" for anyone just getting into smart home tech. "With the new DIRIGERA hub for smart products, users will be able to onboard all IKEA smart products to the system and steer them individually, in sets or in groups in the new IKEA Home smart app. This enables users to create different scenes with pre-set functions of the smart products and increases the personalisation options for the smart home," according to the company.


Call of Duty Endowment to host in-game charity run via 'Warzone'

Washington Post - Technology News

In the last decade, in-game events like Veteruns, store bundles and esports competitions have all been used as vehicles to raise money for charity. Between March 20 and April 3, all "Fortnite" proceeds were donated to four humanitarian relief funds to aid those affected by the war in Ukraine. Awesome Games Done Quick, in which players speed run hundreds of titles such as "Deathloop," "Sekiro: Shadows Die Twice" and "Super Mario 3D Land" for charity, raised over $3 million for the Prevent Cancer Foundation. And "League of Legends" players sent $6 million to Riot Games' Social Impact Fund through the purchase of the game's 1,000th skin.