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The apps machine-learning algorithm can identify patterns and learn from data with human help. It analyzes data from different individuals blood sugar responses to tens of thousands of different meals to identify personal characteristics age, gender, weight, microbiome profile and various metabolic measurements that explain why one persons glucose spikes with certain foods when another persons doesnt. The algorithm uses these observations to predict how a particular food will affect ones blood sugar and assign each meal a score.

The system cant yet take into account the candy bar someone had two hours ago but users can play around with food combinations to change the score for each meal. For example, the app gave macaroni and cheese one of Mr. Idemas favorites a low score, but he was able to improve it by adding protein. Thats because adding protein or healthy fats can temper the blood sugar spike from a carbohydrate-heavy meal like macaroni.

I thought they were going to say, Oh my gosh, youve just got to become a salad eater, and thats not been the case, said Mr. Idema.

DayTwo, which is currently only available to employers or health plans, not consumers, is one of a handful of A.I.-based apps recommending healthier meal options. Another company, ZOE, also generates meal scores and is available directly to consumers for $59 per month. ZOEs algorithm uses additional data, such as blood fat levels, in addition to microbiome and blood sugar tests. The algorithm was able to predict how a persons blood sugar and fats respond to different foods in a large 2020 study led by one of the companys founders, Dr. Tim Spector, a professor of genetic epidemiology at Kings College in London.

Currently these algorithms mostly focus on blood sugar, but newer versions will incorporate more personal data, and, in theory, recommend diets that reduce cholesterol, blood pressure, resting heart rate or any other measurable clinical indicator.

Bringing in all these different data types is very, very powerful, and thats where machine learning kicks in, said Dr. Michael Snyder, a genetics professor at Stanford University who helped found the health start-up, January.

The field of personalized nutrition is still in its Wild West phase, and experts say its important to sort through the hype. Many companies are willing to test your microbiome and offer A.I.-driven dietary recommendations as well as sell you supplements but few are based on scientifically rigorous trials. Last year, uBiome, which made one, was even charged with fraud. In general, the more broad-ranging the health and weight loss claims the companies make, the less reliable the evidence to support them.

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Here Come the Artificial Intelligence Nutritionists - The New York Times

NEEDHAM, Mass.--(BUSINESS WIRE)--Spending on artificial intelligence in the United States will grow to $120 billion by 2025, representing a compound annual growth rate (CAGR) of 26.0% over the 2021-2025 forecast period. Moreover, all 19 U.S. industries profiled in the latest Worldwide Artificial Intelligence Spending Guide from International Data Corporation (IDC) are forecast to deliver AI spending growth of 20% or more. The U.S. also accounts for more than half of all AI spending worldwide.

Retail will remain the largest U.S. industry for AI spending throughout the forecast while Banking will be the second largest industry. Together, these two industries will represent nearly 28% of all AI spending in the United States in 2025 and will account for nearly $20 billion of the amount added to the U.S. total over the forecast. The U.S. industries that will see the fastest growth in AI spending will be Professional Services, Media, and Securities and Investment Services, all of which will have CAGRs greater than 30%.

Within Retail, the AI use cases that will receive the most investment will be Augmented Customer Service Agents, and Expert Shopping Advisors & Product Recommendations. These two use cases encourage and assist increased spending by retail customers and account for nearly 40 percent of AI spending in the industry. The shift to online shopping contributes considerably to the adoption of AI within retail. AI spending in the Banking industry will be spread across several different functional areas, including customer service (Program Advisors and Recommendation Systems), operations (Fraud Analysis and Investigation), and security (Augmented Threat Intelligence and Prevention Systems).

Among the 30 AI use cases included in the Spending Guide, two will remain the largest in terms of total spending throughout the forecast Augmented Customer Service Agents and Sales Process Recommendation and Augmentation. Together, these two use cases will account for more than 20% of all AI spending in the U.S. in 2025. In terms of growth, two AI use cases (Public Safety and Emergency Response and Augmented Claims Processing) will have five-year CAGRs greater than 30% while a third use case (IT Optimization) will ride a CAGR of 29.7% to become the third largest AI use case in 2025.

"The greatest potential benefit for the use of AI remains its use in developing new business, and building new business models," said Mike Glennon, senior research manager with IDC's Customer Insights & Analysis team. "However, existing businesses are hesitant to embrace this potential, leaving the greatest opportunities to new market entrants that have no fear of change and can adapt easily to new ways of conducting business. The future for business is AI and those companies that can seize this opportunity could easily become the new giants."

The Worldwide Artificial Intelligence Spending Guide sizes spending for technologies that analyze, organize, access, and provide advisory services based on a range of unstructured information. The Spending Guide quantifies the AI opportunity by providing data for 30 use cases across 19 industries in nine regions and 32 countries. Data is also available for the related hardware, software, and services categories.

Taxonomy Note: The IDC Worldwide Artificial Intelligence Spending Guide uses a precise definition of what constitutes an AI Application in which the application must have an AI component that is crucial to the application without this AI component the application will not function. This distinction enables the Spending Guide to focus on those software applications that are strongly AI Centric. In comparison, the IDC Worldwide Semiannual Artificial Intelligence Tracker uses a broad definition of AI Applications that includes applications where the AI component is non-centric, or not fundamental, to the application. This enables the inclusion of vendors that have incorporated AI capabilities into their software, but the applications are not exclusively used for AI functions only. In other words, the application will function without the inclusion of the AI component.

About IDC Spending GuidesIDC's Spending Guides provide a granular view of key technology markets from a regional, vertical industry, use case, buyer, and technology perspective. The spending guides are delivered via pivot table format or custom query tool, allowing the user to easily extract meaningful information about each market by viewing data trends and relationships.

Click here to learn about IDC's full suite of data products and how you can leverage them to grow your business.

About IDCInternational Data Corporation (IDC) is the premier global provider of market intelligence, advisory services, and events for the information technology, telecommunications, and consumer technology markets. With more than 1,200 analysts worldwide, IDC offers global, regional, and local expertise on technology, IT benchmarking and sourcing, and industry opportunities and trends in over 110 countries. IDC's analysis and insight helps IT professionals, business executives, and the investment community to make fact-based technology decisions and to achieve their key business objectives. Founded in 1964, IDC is a wholly owned subsidiary of International Data Group (IDG), the world's leading tech media, data, and marketing services company. To learn more about IDC, please visit http://www.idc.com. Follow IDC on Twitter at @IDC and LinkedIn. Subscribe to the IDC Blog for industry news and insights.

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Spending on Artificial Intelligence Solutions Will Double in the United States by 2025, According to a New IDC Spending Guide - Business Wire

Bengalurus Aster CMI Hospital, in association with the Indian Institute of Science (IISc), launched an artificial intelligence (AI) lab on Friday. The Aster-AI lab is a collaborative lab, set up with the aim to build cutting-edge AI products in the healthcare domain and bridge the gap between clinical medicine and technology by training healthcare professionals in AI.

Speaking on how technology is transforming the healthcare system in India, Dr Azad Moopen, founder chairman and managing director of the Aster DM Healthcare conglomerate, said, With the use of AI, doctors and medical providers will now be able to deliver more accurate diagnosis in the fastest possible time, which can aid the treatment journey. Also, AI would be a big leap towards predictive and proactive data analytics, which will improve preventive care recommendations for patients. We are really glad to partner with IISc, which will open doors for healthcare professionals to undertake research and better utilize AI tools to understand their patients disease patterns and improve treatment outcomes significantly.

Commenting on the collaboration, Dr Lokesh B, a neurologist at the hospital, said, This lab will be hosted at Aster CMI to enable faster translation into the clinical care system. This collaboration is only a start; future scope includes exchange of personnel as well as joint workshops for increased cooperation in making AI in medicine more effective both for clinicians as well as patients. This is the first collaborative lab in the clinical environment with an aim to perform impactful as well as translatable research work in the space of AI in medicine.

Phaneendra K Yalavarthy, professor of medical imaging at the IISc, has been instrumental in setting up the lab by providing computational infrastructure and expertise. Yalavarthy said, Artificial intelligence-powered medical technologies have been rapidly evolving and have become powerful adjunct tools in clinical practice. The broad spectrum of digital medicine, especially to enable the 4P model of medicine (predictive, preventive, personalized, and participatory) involves natural collaboration between academic institutions and medical institutions. This artificial intelligence lab is a collaborative effort to develop these AI technologies in the hospital settings so that the translation to the clinic will be seamless. The initial focus of this collaborative lab will be in neurology and its scope will later be expanded to other clinical specialities.

The hospital will be working with Yalavarthy and his team on the development of deep-learning methods for automated tracking and segmentation of nerves in ultrasound images. Dr Sriram Ganapathy, associate professor of electrical engineering, has been collaborating on automatic acute stroke symptom detection using mobile health technologies and also on audio analytics in neurological disorders. These initial projects have a direct impact on the current clinical practice in neurosciences. The problem-solving requires deep technical and clinical knowledge, which the Aster-AI lab aims to bring together.

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Aster launches artificial intelligence lab in collaboration with Bengaluru IISc - The Indian Express

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The EU is taking a bold step in its attempt to regulate artificial intelligence a technology that is increasingly used in many areas of public life. Unfortunately, artificial intelligence systems also exacerbate existing injustices and create new harms for people who already suffer from racial discrimination and systemic injustice. The EUs Artificial Intelligence Act brings a unique opportunity to correct and prevent those harms, and to give people ways to seek redress.

The Open Society European Policy Institute and European Digital Rights (EDRi) invite you to rewatch us on a deep dive with EU policy-makers, academic and civil society experts. The virtual conference explored how the Artificial Intelligence Act can be a positive force in Europe towards protecting peoples human rights and delivering social justice.

ORGANISED BY: The Open Society European Policy Institute and European Digital Rights (EDRi)

MEDIA PARTNER: EURACTIV

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Media Partnership - Discrimination and surveillance: Can the EU Artificial Intelligence Act fix injustice? - EURACTIV

Most festival visitors witnessed inventions for the first time, challenging guests to rethink the way we may one day go about our daily lives. Festival seekers were greeted by a host robot who encouraged fluid conversation in Arabic, speaking on a variety of topics from tourism, health and pop culture. Families, couples, and school groups from around the region of Qassim were encouraged to explore and immerse themselves throughout the 600 square meter event space, broken up into 3 experience zones:

In addition to the 3 zones, the festival offered a series of half-hour workshops relating to various technologies, beyond those featured in the zones, from ioT, blockchain, and quantum computing. The venue also provided groups with a leisure area where food trucks, pop-up coffee shops and lounge space could accommodate festival goers.

The festival was curated and organized by Knowliom, a Riyadh based agency that specializes in museum management, edutainment and informal educational programming. Adil Khan, Digital Fabrication Expert at Knowliom and Lead Festival Curator said, "It was essential to our team that we provide an awe inspiring guest experience while at the same time showcasing how real and accessible these inventions are and how they may improve our quality of life. Furthermore, Most festivals and gatherings of this caliber are hosted in the capital city of Riyadh, therefore it was an honor to bring cutting edge technology inventions and hands-on experiences into a relatively remote region of Saudi Arabia."

About Knowliom

Leading the way in informal learning experiences throughout the Kingdom of Saudi Arabia, Knowliom is a privately held company and member of All Group, a conglomerate of event-centric companies dedicated to enhancing the quality of life and elevating entertainment experiences around the region. Knowliom is an agency based in Riyadh, that provides museum operation solutions, edutainment as well as learning and cultural based programming to its clients. Working on a variety of projects, from art exhibitions, science museums to heritage festivals, Knowliom's team blends together its deep understanding of the local market with its broad perspective of international learning standards to deliver fun, interactive and meaningful experiences to festival, museum and programming guests.

For more information, please visit http://www.knowliom.comor contact [emailprotected]for direct inquiries.

SOURCE Knowliom

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Newly unveiled Qassim Science Center hosts its first event series, The Robotic and Artificial Intelligence Festival - PR Newswire