Mediaboss Marketing

SAN MATEO, Calif., June 28, 2021 /PRNewswire/ --LLENA (AI) Health Solutions Inc. today announced apartnership with Southern University in Baton Rouge, Louisianato support their "Center of Excellence for Nutrition, Health, Wellness, and Quality of Life" initiative to address diet-related health disparities in African Americans by increasing the capacities of 1890 institutions through nutrition research, teaching and extension.The Southern University Agricultural Research and Extension Center is one ofthe 1890 Centers of Excellence grantrecipients to receive funding from the U.S. Department ofAgriculture's National Institute of Food and Agriculture(USDA/NIFA). The 1890 Universities Foundation mobilizes and manages resources to facilitate broad based programs, initiatives and approaches across the 1890 universities system.

LLENA (AI) will provide artificial intelligence insights & targeted research in the areas of food insecurity, food deserts and COVID-19 in underserved and local communities under the direct leadership of Dr. Fatemeh Malekian, Professor of Food Science, Project Director and Director of the Southern Institute for Food, Nutrition, and Wellness at the SU Ag Center.LLENA (AI) will leverage its proprietary Artificial Intelligence (AI) that creates an individualized GI (glycemic index) value meal based on blood sugar, blood pressure and other preferences. African Americans remain the least healthy ethnic group in the USA. Diet is a key contributor to disparities in many chronic diseases and conditions.

Southern University alumnaand LLENA (AI) CEOCharlotta Carter is excited to empower her community. "As an HBCU grad, we areexcited to work with SUAREC to bring needed AI Technology fighting chronic illness in underserved communities. Working with Dr. Fatemeh Malekian on this pilot program, delivering real COVID proofsolutions is an amazing opportunity to give back. A multi-state university collaboration featuring training, education, business skills and podcasts while leveraging LLENA (AI) technology is ahomerun in fighting food insecurity & food deserts. LLENA (AI) is the key interface (Hub) to allow the community easy access to the resources needed to manage a healthy lifestyle. Thisinnovative nutritional outreach program is a giant step to help eradicate type 2 diabetes!"

About:

Southern University Agricultural Research and Extension Center

Southern University Agricultural Research & Extension Center Linking Citizens of Louisiana with Opportunities for Success. The SUAREC provides service to the citizens of Louisiana in a manner that is useful in addressing their scientific, technological, social, economic and cultural needs in order to enhance their overall quality of life.

Visit:https://www.suagcenter.com/

LLENA (AI) Health Solutions Inc.

Learn to Love Eating Nutritiously Always, LLENA (AI) Health Solutions Inc. is a digital diabetes management platform with personalized recommendations powered by proprietary artificial intelligence.https://llenafood.life

LLENA (AI) certification helps clients reach locally targeted consumers who are ready to eat healthy:https://llenafood.life/restaurant-registration/

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Artificial Intelligence Startup LLENA (AI) Health Solutions Inc. tackles food deserts, partners with Southern University to support (USDA/NIFA)...

The integration of artificial intelligence technology is about trust, and a responsible AI ecosystem is the foundation for that trust, Deputy Defense Secretary Kathleen H. Hicks said today.

Speaking virtually to the opening of the Defense Department's Artificial Intelligence Symposium and Tech Exchange, Hicks said DOD's operators must come to trust the outputs of AI systems; its commanders must come to trust the legal, ethical and moral foundations of explainable AI; and the American people must come to trust the values DOD has integrated into each of its applications.

"A key part of an AI-ready department is a strong data foundation," Hicks said. "Data enables the creation of algorithmic models, and, with the right data, we are able to take concepts and ideas and turn them into reality."

The deputy secretary said she recently set forth a series of data decrees for DOD that will help the U.S. achieve the AI superiority it needs.

"We will ensure that DOD data is visible, accessible, understandable, linked, trustworthy, interoperable and secure. To do so, I have directed key initial steps to ensure the department treats data as a strategic asset," she said, adding these steps set DOD on a solid foundation both ethically and organizationally.

"Today, I am proud to announce the DOD AI and Data Acceleration initiative, or ADA initiative. Its goal is to rapidly advance data and AI dependent concepts, like joint all-domain command and control, to the ADA initiative [to] generate foundational capabilities through a series of implementation experiments or exercises, each one purposefully building understanding through successive and incremental learning."

Hicks said each exercise pushes the boundaries of the one before, building on the knowledge gained. She said this represents a software engineering approach that will iteratively gain and expand capabilities to different lines of effort:

"Importantly, these events will be conducted in alignment with the busy combatant command experimentation and exercise cycle," Hicks said. "Through successive experiments, we seek to understand the obstacles and challenges that impair our current ability to rapidly scale AI across the department and the Joint Force."

As DOD completes these episodic exercises and experiments, it intends to leave behind capability, Hicks said. "True to our software engineering mindset, we aim to interactively gain capability and rapidly scale to other combatant command environments with similar challenges. This will ultimately produce data and operational platforms designed for real-time sensor data fusion, automated command-and-control tasking and autonomous system integration. It will allow data to flow across both geographic and functional commands."

Hicks said DOD's fourth line of effort will set the stage for advanced data management platforms consistent with the data decrees. These platforms will enable open data standard architecture and the production of scalable, testable and repeatable data workflows. This will facilitate cross-domain and cross-component experimentation and development. By generating centralized and scalable data, DOD will be accelerating the gains from leveraging AI, she explained.

The ADA initiative recognizes the challenges that DOD is facing and provides a systematized method to harness data and AI. It also creates a path forward for a mission space that has often appeared to be more rhetoric than action, Hicks said.

"You represent the department and its many partners who are rising to the competitive challenge of our future. [Secretary of Defense Lloyd J. Austin III] and I need your help to harness our innovation, build trust, modernize our processes, and serve our great nation," Hicks said, thanking the group for its efforts."

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Hicks Announces New Artificial Intelligence Initiative > US DEPARTMENT OF DEFENSE > Defense Department News - Department of Defense

The continuous progress of technology has led to different government organizations having to modify their structures, as well as the way in which they execute their processes.

Nowadays, applying tools such as Artificial Intelligence (AI ) in government is essential, since AI makes all operations more efficient , allows citizens to listen better, have greater sensitivity about what they are asking for, what they need, and know the general feeling you have.

In other words, it can be said that Artificial Intelligence is an extraordinary content source for the public sector and, above all, it is a great value .

Many developed and developing countries are already implementing AI in different activities within the Public Administration. An example of this is what the Government of Finland is doing, which is conducting tests with what is considered, so far, the most ambitious public assistant based on Artificial Intelligence in the world: AuroraAI .

The objective of this program is to offer citizens personalized services, and filter them according to the specific needs of each person at different times in their lives. Likewise, work is being done to integrate public and business services into a single platform. For example, if AuroraAI detects that a citizen wants to change jobs, it would offer them jobs that match their profile, both in the public and private sectors.

According to Christian Pealoza , doctor in Cognitive Neuroscience, there are three categories into which the main current benefits of Artificial Intelligence in government can be grouped. These are:

Even so, if we have to analyze the exploitation of Artificial Intelligence by government sectors in Latin America, we must emphasize that for many of them the use of AI is still at a very early stage, so they have a long way to go. go through and many technological challenges to face.

The governments already have a part of the road traveled, they are not completely at zero. Most, for example, already have a demographic database. However, there is still much to refine to make certain public policy decisions, says John Salazar , commercial director of Forest Rim Technology for Latin America.

AI in LatAm governments has a long way to go and many technological challenges to face / Image: Depositphotos.com

It should be noted that the application of Artificial Intelligence revolves around techniques such as machine learning and deep learning, artificial vision, voice recognition and robotics . When these are implemented, they become real and tangible benefits for the government . The best? This technology makes results are obtained faster, thus also saving time and avoiding tedious tasks.

At this point, it is essential to emphasize that for AI to work in any organization, it is essential to have the right data , as well as to ensure its accuracy and to label it appropriately for learning.

That is why, first of all, Governments must have the ability to control the data cycle, which consists of collecting data, generating data, storing it, sharing it and, finally, knowing how to use it.

The most important thing is that governments take this data and, with that information, begin to generate policies and public development plans. Because we realize that many governments, especially those in Latin America, do not use data to make decisions and, therefore, do not generate trust or value in citizens , emphasizes Salazar.

Specifically, the Government of Mexico needs to realize how to use and exploit this data, something that is already happening in the United States in a greater way. As an example, the United States Citizenship and Immigration Services (USCIS) uses a virtual assistant, generated by a computer called Emma , to answer questions and direct people to the correct area of the website.

In short, we can see that currently there are many governments that need to exploit the documentation they have. They need to take advantage of all that data to make better decisions and achieve better results.

What's more, data should be the mainstay of current public policies since, as mentioned above, they generate enormous value .

For all this, it is key to continue working so that, day by day, governments are integrating and adopting this technology, so that they develop this culture of working with data, structuring it and managing it, in order to do something that is efficient and productive for the citizenship.

This article originally appeared on entrepreneur.com

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What are the benefits of Artificial Intelligence in Government? - mySanAntonio.com

ANN ARBOR, Mich.--(BUSINESS WIRE)--The Association for Advancing Automation (A3) has created a new Artificial Intelligence (AI) Technology Strategy Board of leading AI experts, part of a major initiative to promote education and adoption of the applications of artificial intelligence in automation industries.

This new board places AI leadership at the same level as A3s existing technology groups: robotics, vision & imaging, and motion control & motors. The AI Technology Strategy Board will be comprised of senior executives from leading AI and technology companies. This is the first time the global trade association has added a technology group to its leadership since adding motion control in 2006. A3 represents 1,100 companies from across the automation industry.

Artificial intelligence is layering atop robotics, vision, motion control, and other automation technologies to create new solutions, great flexibility, and expanding opportunities. Big tech companiesonce focused more on phones than factory floorsnow view manufacturing, robotics and industrial automation as key segments of their business.

Artificial intelligencein many shapes and formswill be the stitching that weaves together a new age of industry, said Jeff Burnstein, president of A3. As the global trade group of the automation industry, we need to help prepare our members to seize this potential.

The creation of the technology strategy board is the culmination of a three-year effort to educate and inform automation leaders about the growing importance of artificial intelligence. The boards chairman is John Lizzi, Executive Leader-Robotics at GE Research, who has chaired and played a leading role in the A3s AI efforts to date. Companies such as Amazon, GE, Google, Intel, Microsoft, NVIDIA, Siemens and others have helped guide A3s initiatives. Robert Huschka, A3s vice president of education strategies, will serve as the associations liaison to the new board.

Last fall, A3 hosted its first virtual AI conference, the AI & Smart Automation Conference, with more than 1,600 virtual registrants. Last year, A3 released the whitepaper, Intelligent Automation: 6 AI Applications That Are Changing Industry. Focused on real-world use cases for AI, the 20-page paper has become the most-read whitepaper in the history of the association. The associations new website, AUTOMATE.ORG, has devoted an entire section to artificial intelligence. A3 is also set to begin work on new industry-recognized certification programs on AI and autonomous systems.

AI technologies will play a central role at A3s two major trade shows in 2022, The Automate Show & Conference, June 6-9, in Detroit, Michigan, and The Vision Show, October 11-13, in Boston, Massachusetts.

About Association for Advancing Automation (A3)

The Association for Advancing Automation is the global advocate for the benefits of automating. A3 promotes automation technologies and ideas that transform the way business is done. For more information, visit https://www.automate.org/.

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New Artificial Intelligence Strategy Board to Lead AI Initiatives for the Association for Advancing Automation - Business Wire

Artificial intelligencehas put the future of technology on a high pedestal. In the digital world,artificial intelligenceis already capable of doing several things that humans can do. The technology can helprobotsdraw your picture amazingly, write a poem for you, click pictures, do house chores, etc. In a nutshell,artificial intelligence is turning to be humans in the 21st century. However, all is not working out in its favor. If we look closely atAI technology, we can see there are some things thatartificial intelligence cant do.

Humans started working on technology with the thought to make something as capable as him/them. Although we are not in a full-fledged situation to enjoy such luxury, today, artificial intelligencecan do a lot of tasks that humans dreamed of. Moving on to the future,AI researcherspredict a period whenrobotscould walk, talk, and have perfect human qualities. Even now, half of them are already happening and some are in progress. However, we dont know if we are awaiting a future where humans and machines work together orrobotsbring an apocalypse to take over human society. There is no doubt we have had many ground-breaking advancements in machine learning, cloud computing, robotics, quantum computing, etc. Unfortunately,artificial intelligencejust isnt there yet. There are many things, thatartificial intelligence cant dofor humankind or society. In a world filled with AI punditry and hysterical fearmongering, separatingartificial intelligencefrom fiction can be a tough task indeed. That is why Analytics Insight has phrased out some things thatartificial intelligence cant dodespite its increasing dominance and unconditional development.

A major aspect where artificial intelligence falls behind humans is in using common sense. Although robots are capable of doing what man is incapable of, such as labor intense jobs and working in dangerous circumstances, artificial intelligence is still no competition to humans intellect. Machines can even make wise decisions and help humans make the right choice, but when things get twisted, robots entangle in confusion. For example, if we say A woman went shopping. She bought a beautiful dress. She left the place with a big smile. If asked what the woman shopped, a human would instantly say a beautiful dress. But answering these simple questions is very difficult for artificial intelligence.

Humans can automatically grasp the concept in real-time, but machines are not wise enough to use their common sense and answer in such situations. Besides, humans have lived through times. So, we know what is necessary for a circumstance and what is not. But machines are just fed with data that were run on humans, which can be complicated. Robots cant get things straight through those datasets and acting to situations in real-time is real trouble for artificial intelligence.

Humans are gifted with a sixth sense that makes us different from other living beings. However, despite the improvements that AI researchers have made, robots are still incapable of caring for humans or fellow robots and machines. For example, the Australian government uses a chatbot called Nadia to help people access the National Disability Insurance Scheme. Although Nadia can interpret their speech and expressions with 85% accuracy, she cant abstract the emotions they carry. With zero emotional intelligence, Nadia just looks at their sad face and carries out the process. Therefore, all the responses by Nadia are rational from a perspective. Whether the caller yells or cries or talks sweetly, her response would be similar to all of them.

This is where robots highly differ from humans. Even AI researchers agree that people will never forget how you made them feel in a critical situation and todays artificial intelligence cant compete with reality on that scale.

We mustve come across the ideology that women are capable of doing multiple tasks at the same time very well. When men are already incapable of doing the same at womens level, machines are nothing. AI researchers have trained robots to solve specific problems. But the ability to perform different tasks at a time is still in progress. Recently, Google tried its hand at making robots do multiple tasks. It implied its Google Assistant to do the routines. But the result was not very positive. Although artificial intelligence was capable of doing a number of things, it only played a selective role after receiving a command. So it is safe to say that todays robots cant take notes from a business chart, attend a phone call and answer the queries, and arrange things for the upcoming meeting, all at the same time.

Forget the dystopian future, humans are just scared of the fact that robots might take over their jobs very soon. Although this could be a reality to some extent, it is not a complete truth. Take the robots in healthcare for example. They take medicines to patients, follow their timeline, and even perform surgeries. But what they lack is the empathy to comfort people. But an actual human doctor can do that. Besides, machines cant take the initiative and proactively look for areas of improvement. Human employees develop processes and train others to make the company work more effectively and efficiently. Even though machines can take over laborious jobs, they will only push humans to carry out intellectual works without wiping out their job opportunities.

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Incapable? Yes, Artificial Intelligence Can't Do These Things! - Analytics Insight