How AI has impacted, Transformed & Established Models that will enhance every sphere of Operations in Every Industry, Aviation, Medical Care

How AI has impacted, Transformed & Established Models that will enhance every sphere of Operations in Every Industry, Aviation, Medical Care & in Our Personal Lives.

www.mgireservationsandbookings.co.uk

Using artificial intelligence to control digital manufacturing

Researchers train a machine-learning model to monitor and adjust the 3D printing process to correct errors in real-time.

Scientists and engineers are constantly developing new materials with unique properties that can be used for 3D printing, but figuring out how to print with these materials can be a complex, costly conundrum.

Often, an expert operator must use manual trial-and-error — possibly making thousands of prints — to determine ideal parameters that consistently print a new material effectively. These parameters include printing speed and how much material the printer deposits.

MIT researchers have now used artificial intelligence to streamline this procedure. They developed a machine-learning system that uses computer vision to watch the manufacturing process and then correct errors in how it handles the material in real-time.

They used simulations to teach a neural network how to adjust printing parameters to minimize error, and then applied that controller to a real 3D printer. Their system printed objects more accurately than all the other 3D printing controllers they compared it to.

The work avoids the prohibitively expensive process of printing thousands or millions of real objects to train the neural network. And it could enable engineers to more easily incorporate novel materials into their prints, which could help them develop objects with special electrical or chemical properties. It could also help technicians make adjustments to the printing process on-the-fly if material or environmental conditions change unexpectedly.

“This project is really the first demonstration of building a manufacturing system that uses machine learning to learn a complex control policy,” says senior author Wojciech Matusik, professor of electrical engineering and computer science at MIT who leads the Computational Design and Fabrication Group (CDFG) within the Computer Science and Artificial Intelligence Laboratory (CSAIL). “If you have manufacturing machines that are more intelligent, they can adapt to the changing environment in the workplace in real-time, to improve the yields or the accuracy of the system. You can squeeze more out of the machine.”

How AI powers TSA bag screening technology

CalypsoAI brings testing and validation to ML models used by the TSA

AI is finding a home with the Transport Security Administration (TSA) — specifically in the agency's responsibility to screen baggage at airports across the U.S.

An initiative is currently underway within the Department of Homeland Security’s (DHS) program known as "Screening at Speed" (SaS), which will, among other efforts, implement AI to help accelerate the baggage screening process.

Part of developing this screening system is testing and validating the AI models’ integrity, in terms of both reliability and the capability to withstand potential adversarial attacks. This is precisely where DHS is making use of CalypsoAI’s VESPR Validate technology

Artificial intelligence (AI) models are increasingly finding their way into critical aspects of enterprise use cases and broader adoption throughout the world.

One area where AI is finding a home is in the Transport Security Administration (TSA), one of whose responsibilities is screening baggage at airports across the U.S. An initiative currently underway within the Department of Homeland Security’s (DHS) Science and Technology Directorate, a program known as Screening at Speed (SaS), will, among other efforts, implement AI to help accelerate the baggage screening process.

Part of developing this screening system is testing and validating the AI models’ integrity, in terms of both reliability and the ability to withstand potential adversarial AI attacks. That’s where DHS is making use of CalypsoAI’s VESPR Validate technology.

UF helps state launch AI curriculum in Florida public schools

As students across the nation return to the classroom this fall, Florida is among the first states to adopt a K-12 artificial intelligence, or AI, education program designed to prepare its youth for the growing global demand for an AI-enabled workforce.  

Tapping into the expertise of the University of Florida and its AI initiative, the Florida Department of Education recently added a three-year program of study called AI Foundations to its Career and Technical Education Program, or CTE, with three Florida school districts launching it this fall after specialized AI training was available to teachers over the summer. 

Nearly everyone is accessing AI or being influenced by the technology every day, and that will only increase, said UF Associate Provost David Reed, who leads the university’s Artificial Intelligence Academic Initiative Center. 

“More and more people with all levels of education and technical skills are exposed to AI, including on their phones, their watches and in their homes,” Reed said. “Through several initiatives, including an AI curriculum program developed for Florida public schools, the University of Florida aims to increase understanding among students about how their data is being used, improve their skills in computer science and also impact the AI workforce shortage.” 

The framework for the public school coursework was designed with help from UF faculty, including Christina Gardner-McCune, who modeled it after the Artificial Intelligence for K-12 Initiative, or AI4K12. The initiative, a National Science Foundation-funded program, is developing national guidelines for teaching AI in elementary and secondary schools and is co-led by Gardner-McCune, an associate professor in the Herbert Wertheim College of Engineering Department of Computer and Information Science and Engineering.

The state’s new high school program offers courses that provide an overview of the aspects of AI, programming and machine learning to better prepare students to be successful both personally and professionally in an AI-based society, Gardner-McCune said.  

“Students will gain practical, hands-on experience such as constructing chatbots, evaluating the societal impacts of AI and mastering foundational skills to become knowledgeable users of AI,” she said. “Once they complete the program, they will be armed with a portfolio of projects that demonstrates their ability in AI system design.”

UF faculty in the Wertheim College of Engineering gathered input from private industry through focus groups and a comprehensive AI Workforce Needs Industry Survey to help inform the design of the program.

“We leaned heavily on industry to learn what knowledge and skills companies are looking for in their employees,” said Cammy Abernathy, dean of the Wertheim College of Engineering. “We were able to leverage our relationships with national companies, and therefore, get a big picture of the common skills that are in demand.” 

How Leaders Are Investing In Artificial Intelligence To Improve Public Relations

While many companies invest all their marketing dollars in digital marketing, leaders in the public relations (PR) space claim they can achieve similar or better results combining public relations with artificial intelligence. Artificial intelligence (AI) and other advanced technologies have penetrated every aspect of life. In a survey of 6000 consumers, 33 percent responded that they think they use AI technology; in reality, 77 percent were using AI.

Public relations is often an integral part of companies, big or small. But traditionally, most PR operations rely on humans. For instance, press releases, memos, and other written communication are done by PR specialists, either inside the company or hired through an agency.

AI is now making strides in the PR industry, with many impressive tools in the market utilizing AI to improve PR capabilities for PR agencies and businesses alike. Still, PR has a long way to go toward fully embracing AI.

Here are five ways AI can benefit and change PR:

Speech to Text Conversion

AI’s capabilities to transcribe speech can come in handy for PR teams immensely. This technology can be a big time saver because there’s a lot of use of audio speech in PR, from transcribing interviews to writing about podcasts.

PR agents can record interviews and speeches and transcribe them using AI-based tools. With natural language processing (NLP) technology, such tools may be able to not only transcribe audio but also translate it without losing context.

Contact Search and Recommendation

Perhaps the biggest benefit AI can offer PR is to identify and recommend contacts from media to pitch. In the State of PR 2021 report, 34 percent of PR professionals said that finding journalists is their biggest challenge. It’s time-consuming, and often unsuccessful.

“With data analysis and language processing capabilities, AI can find and recommend contacts that are perhaps more likely to respond to PR pitches,” says Valentin Saitarli, CEO and co-founder of the AI-powered public relations platform PRAI.co. Artificial intelligence can handle these mundane and arguably more challenging tasks, freeing up time for other important PR tasks.

Also, by selecting journalists and media personalities relevant to the company's niche/industry, it increases the likelihood of your pitches being picked up.

Autonomous stores: Coming soon to a neighborhood near you

Are autonomous stores the next big thing in retail tech? Chris Hartman, senior director of fuels, forecourt, advertising and construction at Rutter’s, thinks so.

While autonomous stores are still rare, several major retailers are exploring the concept as they try to improve the customer experience by creating a seamless checkout experience as part of their short-term and long-term strategies.

Taking the concept a step further, stores could eventually even make autonomous technology part of the store itself. Convenience stores have been adopting such technology for a few years, with so-called “smart shelves”’ Such technology-enabled shelves track the inventory of all products on each shelf, and order new stock as needed. They track how customers pick up or move products around in order to share insights on what’s popular.

Skip to main content

Retailers and convenience stores have increasingly invested heavily in technology, especially mobile applications, that enable customers to do much of the shopping legwork from home. Are autonomous stores the next big thing in retail tech? Chris Hartman, senior director of fuels, forecourt, advertising and construction at Rutter’s, thinks so.

An autonomous store is a cashier-less store that doesn’t require a human presence to ring up purchases or check a customer out. They enable a retailer to manage and optimize all of their traditional store operations, but at obviously less overhead, while providing customers with frictionless checkout.