Daily Archives: January 13, 2022

ROCKVILLE, Md., Jan. 10, 2022 /PRNewswire/ -- America is getting older faster. According to the U.S. Census Bureau, the number ofpeople aged 65 or older in the United States will grow to 95 million by the year 2060 and will account fornearlyone-quarterofthepopulation.Artificialintelligence(AI)andtechnologysolutionshaveasignificantpotential to transform quality of life and improve health care outcomes for older Americans, includingthosewithAlzheimer'sDisease andRelatedDementias(AD/ADRD).

To meet this challenge, the AI/Tech + Aging (a2) Collective is announcing the a2 Pilot Awards, a nationalcompetitionthatwillearmark $40millionover thenext5years forpromisingpilotprojects that leverageAI and other transformative technology to support healthy aging and persons living with AD/ADRD. Thea2 Collectiverepresents the National Institute on Aging's (NIA) Artificial Intelligence and TechnologyCollaboratories for Aging Research (AITC) program, which is dedicated to helping Americans live longer,betterthroughtheapplicationofAI and emergingtechnologies.

"AI and transformative technology that supports America's aging population is projected to be a multi-trillion dollar market opportunity," says Stephen Liu, a2 Collective's Managing Director Head ofMarketing & Business Development. "Tech giants and AI startups cannot afford to overlook how thisdemographicwill interactwiththeemerging #AgeTech economy."

The a2 Pilot Awards is funded by the NIA through three AITCs at Johns Hopkins University, theUniversity of Massachusetts-Amherst, and the University of Pennsylvania, with coordination supportprovided by Rose Li & Associates, Inc. Pilot applicants can request up to $200,000 in non-dilutive directcosts to be expended within a 12-month period, with multi-year commitments and time extensionsdetermined bytheawarding AITC.

Each AITC will offer pilot awardees access to a wealth of resources, translational services, and state-of theartfacilities,includingsoftwareandhardwareplatforms,datasets,andpopulationstudysites.

Awardeeswillalsobeeligibletoapplyfor$10,000inAWScredits.

Applications for the inaugural a2 Pilot Awards will be accepted from January 10 through February 18,2022.Pleasevisitoura2PilotAwardswebsiteforeligibility requirements.

CONTACTS:

Stephen C. Liu, Managing Director Head of Marketing & Business Development [emailprotected] 1.310.210.7066

Robert Verhein, Managing Director Head of Operations [emailprotected] 1.240.552.9224

SOURCE a2 Collective

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$40M Available for Artificial Intelligence and Transformative Technology Innovators to Improve Care and Health Outcomes for Older Americans -...

Artificial intelligence will be the common theme in the top 10 technology trends in the next few years, and these are expected to quicken breakthroughs across key economic sectors and society, the Alibaba Damo Academy says.

The global research arm of Chinese technology major Alibaba Group says innovation will be extended from the physical world to a mixed reality, as more innovation finds its way to industrial applications and digital technology drives a green and sustainable future.

"Digital technologies are growing faster than ever," Jeff Zhang, president of Alibaba Cloud Intelligence and head of Alibaba Damo, said in a report released on Monday.

"The advancements in digitisation, 'internetisation' and intelligence are redefining a digital world that is characterised by the prevalence of mixed reality.

"Digital technology plays an important role in powering a green and sustainable future, whether it is applied in industries such as green data centres and energy-efficient manufacturing, or in day-to-day activities like paperless office."

The report was compiled after analysing millions of public papers and patent filings over the past three years and conducting interviews with about 100 scientists.

Clouds, networks and devices will have a more clearly defined division of labour in the coming years. Photo: Alibaba Damo

The rapid development of new network technology will fuel the evolution of cloud computing towards a new system called cloud-network-device convergence.

The system will allow clouds, networks and devices to have a more clearly defined division of labour.

Clouds will function as brains and will be responsible for centralised computing and global data processing, while networks will serve as the interconnecting tracks that join various forms of networks on the cloud to build an ubiquitous, low-latency network.

The global cloud computing market is projected to grow to $947.3 billion by 2026, from $445.3bn in 2021, according to data platform Markets and Markets, with adoption set to increase in sectors where initiatives to work from home are prevalent.

AI is pegged to replace computers as the main production tool in scientific discovery. Photo: Alibaba Damo

AI would be a boon to scientists, with Alibaba Damo saying it will replace computers as the main production tool in scientific discovery, helping to improve efficiency in each phase of the research process from the formation of initial hypothesis to experimental procedures and the distillation of experimental findings.

This will shorten research cycles and improve the productivity of scientists.

Machine learning can process massive amounts of multidimensional and multimodal data and solve complex scientific problems, allowing scientific exploration to flourish in areas previously thought impossible, it said. As such, AI will also help to discover new scientific laws.

The global scientific research and development services sector is, unsurprisingly, a big market. The sector is forecast to grow to $822.49bn this year and $1.3 trillion by 2026, from $725.56bn in 2021, data provider ReportLinker says.

Cloud computing and AI will drive the rapid development of and demand for silicon photonics technology, Photo: Alibaba Damo

As defined by Intel, a silicon photonic chip is the combination of two of the most important inventions of the 20th century the silicon integrated circuit and the semiconductor laser. Unlike its electronic counterparts, it enables faster data transfers over longer distances.

The rise of cloud computing and AI will drive the rapid development of silicon photonics technology and demand. The widespread use of the chips is expected in the next three years.

Research company Markets and Markets predicts that the market will grow to $4.6bn by 2027, from $1.1bn in 2021.

The current challenges, according to Alibaba Damo, are mainly in the supply chain and manufacturing processes since the design, mass production and packaging of silicon photonic chips have not been standardised and scaled up, leading to low production capacity, low yields and high costs.

Applying AI in the renewable energy sector can also contribute to achieving carbon-neutrality. Photo: Alibaba Damo

Renewable energy is one of the sectors attracting the most attention as governments prioritise sustainability. But due to the unpredictable nature of renewable energy power generation, integrating renewable energy sources into the power grid presents challenges that affect the safety and reliability of the grid.

Alibaba Damo said the application of AI in the industry is critical and indispensable in capacity prediction, the scheduling of optimisation, performance evaluations, failure detection and risk management, all of which translates into improving the efficiency and automation of electric power systems and maximising resource use and stability. It would also be a key factor for achieving carbon neutrality.

A recent report by Allied Market Research said the global renewable energy market, which was worth $881.7bn in 2020, is expected to reach about $2tn by 2030.

Major economies have programmes in place to make renewables a significant part of their energy mix by that year: the US and China are on track to generate up to 50 per cent and 40 per cent, respectively, of their electricity from renewables.

The convergence of AI and precision medicine is expected to boost the integration of medical expertise. Photo: Alibaba Damo

As the Covid-19 pandemic has proved, any unexpected medical crisis will force the industry to hasten its research to achieve pinpoint accuracy.

With the medical field highly dependent on individual expertise involving a lot of trial and error, coupled with varying efficacies from patient to patient, the convergence of AI and precision medicine is expected to boost the integration of expertise and new auxiliary diagnostic technology.

It will serve as a "high-precision compass" for clinical medicine a compass that doctors can use to diagnose diseases and make medical decisions as quickly and accurately as possible.

The medical world is already reaping the advantages of AI. For example, using AI in the early screening of breast cancers can reduce the false negative rate by 5.7 per cent in the US and 1.2 per cent in the UK, Alibaba Damo said, citing country statistics.

The global precision medicine market is poised to grow to $118.32bn by 2025, from $72.58bn in 2021, driven by companies resuming their operations and adapting to the new normal while recovering from the effects of Covid-19, according to ReportLinker.

Privacy-preserving computation techniques and its successors will be critical to effective, safe and secure data sharing. Photo: Alibaba Damo

Privacy-preserving computation, as its name implies, is the use of techniques to process data in utility bills, for example without revealing a user's information. In an era where one of the largest challenges is ensuring the security of data while allowing it to flow freely between computing entities, this vertical is gaining traction as a viable solution to this challenge.

Alibaba Damo said that the next three years will see groundbreaking improvements in the performance and interpretability of privacy-preserving computation, and witness the emergence of data trust entities that provide data sharing services based on the technology.

Research company Gartner says that by 2025, half of large organisations will introduce privacy-enhancing computation for processing data in untrusted environments, while professional services company Accenture said its techniques will be critical to effective, safe and secure data sharing.

However, the application of the technology has been limited to a narrow scope of small-scale computation due to performance bottlenecks, lack of confidence in the technology and standardisation issues, Alibaba Damo said.

The next three years would see a new generation of XR glasses that have an indistinguishable look and feel. Photo: Alibaba Damo

The development of technologies such as cloud-edge computing, network communications and digital twins brings extended reality the combination of real and virtual worlds and human-machine interaction into "full bloom", Alibaba Damo said.

XR glasses aims to further develop immersive mixed reality Internet. It will reshape digital applications and revolutionise the way people interact with technology in any scenario from entertainment and social networking, to office and shopping, to education and healthcare.

The XR market was valued at $27bn in 2018 and is expected to hit $393bn by 2025 at a healthy compound annual growth rate of 69.4 per cent, according to data provider Market Research Future.

Alibaba predicts that a new generation of XR glasses that have an indistinguishable look and feel from ordinary glasses will enter the market in the next three years and will serve as a key entry point to the next generation of the Internet.

Perceptive soft robots are seen to replace traditional robots in the manufacturing industry in the next five years. Photo: Alibaba Damo

Perceptive soft robots are flexible, programmable and deformable, and are empowered by advanced technologies such as flexible electronics and pressure adaptive materials. This enables them to handle complex tasks in various environments.

AI further enhances their perception system, making them smarter and applicable to more industry functions such as for surgeries in the medical field.

Unlike conventional robots, perceptive soft robots are machines with physically flexible bodies and enhanced perceptibility towards pressure, vision and sound, allowing them to perform highly specialised and complex tasks and the ability to adapt to different physical environments.

The soft robotics market, still in its early stages, was valued at $1.05bn in 2020 and is expected to reach $6.37bn by 2026 at a CAGR of 35.17 per cent, according to Mordor Intelligence.

Alibaba Damo said the emergence of perceptive soft robotics will change the course of the manufacturing industry, from the mass-production of standardised products towards specialised, small-batch products.

In the next five years, it will replace conventional robots in the manufacturing industry and pave the way for wider adoption of service robots in daily life.

Satellite-terrestrial integrated computing can enable digital services to be more accessible and inclusive across Earth. Photo: Alibaba Damo

Current terrestrial networks and computing capabilities cannot catch up to the growing requirements for connectivity and digital services around the world, and is especially prominent in sparsely-inhabited areas such as deserts, seas and space.

Satellite-terrestrial integrated computing, Alibaba Damo says, creates a system that integrates satellites, satellite networks, terrestrial communications systems and cloud computing technologies, enabling digital services to be more accessible and inclusive across Earth.

The global satellite communication market was valued at $65.68bn in 2020 and is expected to hit $131.68bn by 2028, according to data provider Verified Market Research.

In the next three years, Alibaba Damo expects to see a large increase in the number of low-Earth orbit satellites, and the establishment of satellite networks with high-Earth orbit satellites.

In the next five years, satellites and terrestrial networks will work as computing nodes to constitute an integrated network system, providing ubiquitous connectivity.

The co-evolution of large and small-scale AI systems would create a new 'intelligent' one. Photo: Alibaba Damo

Future AI is shifting from the race on the scalability of foundation models to the co-evolution of large and small-scale models via clouds, edges and devices, which is more useful in practice.

In the co-evolution paradigm, foundation models deliver the general abilities to small-scale models that play the role of learning, inference and execution in downstream applications, Alibaba Damo said.

Small-scale models will also send the feedback of the environment to the foundation models for further co-evolution. This mechanism mutually enhances both large and small-scale models via positive cycles.

The would-be new "intelligent system" brings three merits: it makes it easier for small-scale models to learn the general knowledge and inductive abilities, which are then fine-tuned to their specific application scenarios; the system increases the variety of data for the foundation models; and it helps achieve the best combination between energy efficiency and training speed.

The global AI market was valued at $62.35bn in 2020 and is seen to expand at a robust CAGR of 40.2 per cent from 2021 to 2028, according to Grand View Research.

Continuous research and innovation directed by technology giants are driving the adoption of advanced technologies in industry verticals, such as automotive, health care, retail, finance and manufacturing, but AI has brought technology to the centre of organisations, it said.

Updated: January 11th 2022, 4:14 AM

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Artificial intelligence to influence top tech trends in major way in next five years - The National

Galleon and Birdoo are the latest innovative solutions to help maximize animal health and flock performance

WAYZATA, Minn., Jan. 11, 2022 /PRNewswire/ -- Poultry producers are always looking for ways to improve the efficiency and health of their flocks. Advancements in technology, like artificial intelligence, can help accelerate these improvements, identify previously unknown problems and anticipate outcomes. Cargill is assembling a portfolio of AI-driven innovations through proprietary development and strategic partnerships to go beyond nutrition and help customers optimize their operations with actionable insights.

Galleon Microbiome Analysis a comprehensive broiler microbiome health assessment toolThere is an interdependency between the condition of the gut microbiome and the flock's health. Therefore, understanding the gut microbiome allows producers to optimize animal health and performance. Cargill's patent-pending Galleon tool enables broiler producers to decide how changes such as in raw materials, diet, additives, vaccine programs, and farm management practices influence the microbiome of their flock.

Using a simple swab from a live bird, Cargill scientists analyze a customer's flock health using Galleon's robust database of poultry microbiome, developed over a decade using a global data set and nearly 100 trial studies. The analysis is further augmented using statistical analysis, machine learning and artificial intelligence capabilities to provide producers with a comprehensive report and recommended interventions to address issues. In addition, results are unbiased towards a specific product.

Galleon can help producers:

Improve the flock's performance for economic benefit by means including but not limited to switching feed and additives or improving management practices.

Support a healthy flock.

Help provide information when a flock is not performing well.

Pinpoint reasons why different farms with the same inputs, like feed management and antibiotic regimens, have different performance results.

Story continues

"An animal's gut microbiome influences its health in so many ways," said Cargill's principal microbiome researcher, Dr. Briana Kozlowicz. "We've accumulated an industry-leading volume of microbiome data that we can now tap into to provide actionable insights to our customers to improve the performance of their flocks."

Birdoo for real-time, hands-free measurement of broiler weight performance through advanced imaging and predictive analysisFeed is the highest cost input for poultry producers and the primary contributor to their birds' health. At the same time, obtaining accurate animal weight is a time-consuming and labor-intensive flock management effort.

To help producers better track broiler performance, Cargill has teamed up with digital technology enablement firm, Knex, to develop 'Birdoo," a first-of-its-kind technology that leverages proprietary computer visioning and artificial intelligence that combines hands-free, real-time flock insights with predictive modeling data. This helps producers make informed decisions quicker while supporting their bottom lines through better animal health and well-being, increased uniformity and improved performance of their flocks.

Birdoo will help Cargill producers:

Replace manual weighing with precision through 3D imaging: Get greater than 95% accuracy on broiler weight estimation with no labor required to clean or calibrate devices, thus improving human and animal welfare.

Track broiler performance and weight variability in real-time: A cloud-based platform allows farmers, technical assistants, nutritionists and management to track animal performance and anticipate issues for better resolutions and outcomes.

Reduce processing variability and save on costs through better harvest planning: Weight prediction data helps planners harvest flocks more efficiently and sustainably by improving the feed conversion ratio and saving on feed (on average 10-30g per bird), thus reducing variability and the number of downgrades at the processing packing plant.

"We talk with our customers every day, listen to what they need, and are committed to delivering innovative solutions, like Galleon and Birdoo, to help their businesses thrive," says Adriano Marcon, President of Cargill's animal nutrition business. "We're combining our deep animal nutrition expertise with leading-edge technologies to deliver actionable insights that address their unique animal health and production challenges."

Cargill innovation demos at the International Production & Processing Expo (IPPE)To see in-person demonstrations of Galleon and Birdoo at the upcoming IPPE, visit the Cargill's booth #B8159 and attend the "Tech Talks" featuring Galleon on January 25 and Birdoo on January 26.

Additional broiler performance solutions for poultry producers to consider

BinSentry for safer, hands-free measuring of feed bin inventory; and

COMPASS by Intelia for real-time environmental and broiler performance tracking.

To learn more about any of Cargill's solutions for poultry production, reach out to your local Cargill representative.

About CargillCargill's 155,000 employees across 70 countries work relentlessly to achieve our purpose of nourishing the world in a safe, responsible and sustainable way. Every day, we connect farmers with markets, customers with ingredients, and people and animals with the food they need to thrive.

We combine 155 years of experience with new technologies and insights to serve as a trusted partner for food, agriculture, financial and industrial customers in more than 125 countries. Side-by-side, we are building a stronger, sustainable future for agriculture. For more information, visit Cargill.com and our News Center.

Cargill is the exclusive market provider for Birdoo in the Americas.

Cargill, Inc. (PRNewsFoto/Cargill) (PRNewsfoto/Cargill, Inc.)

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SOURCE Cargill, Inc.

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Cargill expands portfolio of artificial intelligence-powered innovations to give poultry producers actionable insights - Yahoo Finance

Crypto industry peaks deserve more than two hands to handle; more traders are looking into AI as an advantage. Quick analysis and making the right calls at the right time can be a game-changer. Will AI be the new frontier in the crypto markets?

Admittedly, precise calls in the crypto space or any other industry are scarce, with complex graphs and other determinants to contemplate. Decent patterns at the right pace, coupled with a thirsty investor, can always get the job done. Therefore, in the latter part of 2021 and well into 2022, AI is vital, probably the missing piece on how to short bitcoin on trading platforms such as PrimeXBT.

Opening positions early and investigating them can create value, albeit these smart moves have been there for a while. Crypto bots have had their time in the crypto space for some time, bringing valuable information and highlighting unpopular moves that give impressive outcomes. Achieving smart and efficient abilities to gain an advantage goes beyond basic financial knowledge, and brokers contemplating this require advanced programming knowledge.

Tons of bots on the web exist for this sole reason, no wonder many warnings to pick the ones that complete the job efficiently. Decentralized AI platforms create two-way communications with traders, and give almost accurate predictions.

However, it is imperative to understand how AI bots work before putting them to task, as some smart technologies make use of neural networks. Such networks can determine the dynamics in the market, predict market fluctuations and make accurate descriptions of the next days trading patterns. Some AI bots have made accurate predictions better than experienced traders have, and improvements on these tools will be valuable in PrimeXBT and other trading platforms.

For humans, it is a tiring endeavor to peer through tons of data to make charts and other predictive elements. Nevertheless, with AI, it is easy to go through magazines, forums, blogs, and articles to understand the direction of different digital assets. AI goes through this in record time and comes up with better charts to determine future trends; some take a fraction of the time used by humans. Noteworthy, these tools can come in handy for novice traders and reduce the workload for experienced ones.

Crypto markets are awash with many issues to contemplate and can squeeze the juice out of the traders. Investors contend with a lack of liquidity, sudden fluctuations, and disappointing pricing on digital assets. In addition to that, high fees often dampen the mood, which to some extent discourages some traders. Some machine learning tools are helping solve these problems. Side matching protocols are a thing and have helped connect bankers and brokers with lower fees to consider.

Money Token already uses AI to give customers loans using crypto as collateral. Further, Amanda, the Money Token AI tool can handle complex issuesissuing loans and customer support. The support ends when the loan is repaid, meaning the AI tool is fully autonomous with occasional tweaks from Money Tokens developers.

While impressive, AI tools are a major security concern. Some tools created by anonymous developers are out to steal API keys for platforms such as PrimeXBT and different exchanges. Therefore, traders must understand the AI tools they entrust their information with to prevent fraud. Most bots cannot work without API keys, though this is a sign to be cautious, users must further investigate a bot. Steps such as activating two-factor authentication provided by exchanges are simple ways to safeguard crypto assets.

Noteworthy, the security issues should not frustrate the understanding of how important trading bots are in the crypto industry. They are not human, so not prone to emotions. AI tools analyze an instant and lastly make minor mistakes when programmed in the right way. AI tools are valuable in the highly volatile crypto industry, making the right call at the right time can be that slight advantage for a novice trader.

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Trusting Artificial Intelligence (AI) with Crypto Tradesis it Time to Ditch the Hard Work? - The Tech Education

The COVID-19 pandemic took the world by storm in early 2020 and has become since then the leading cause of death in several countries, including China, USA, Spain, and the United Kingdom. Researchers are working extensively on developing practical ways to diagnose COVID-19 infections, and many of them have focused their attention on how artificial intelligence (AI) could be leveraged for this purpose.

Several studies have reported that AI-based systems can be used to detect COVID-19 in chest X-ray images because the disease tends to produce areas with pus and water in the lungs, which show up as white spots in the X-ray scans. Although various diagnostic AI models based on this principle have been proposed, improving their accuracy, speed, and applicability remains a top priority.

Now, a team of scientists led by Professor Gwanggil Jeon of Incheon National University, Korea, has developed an automatic COVID-19 diagnosis framework that turns things up a notch by combining two powerful AI-based techniques. Their system can be trained to accurately differentiate between chest X-ray images of COVID-19 patients from non-COVID-19 ones. Their paper was made available online on October 27, 2021, and published on November 21, 2021, in Volume 8, Issue 21 of the IEEE Internet of Things Journal.

The two algorithms the researchers used were Faster R-CNN and ResNet-101. The first one is a machine learning-based model that uses a region-proposal network, which can be trained to identify the relevant regions in an input image. The second one is a deep-learning neural network comprising 101 layers, which was used as a backbone. ResNet-101, when trained with enough input data, is a powerful model for image recognition. To the best of our knowledge, our approach is the first to combine ResNet-101 and Faster R-CNN for COVID-19 detection, remarks Prof. Jeon, After training our model with 8800 X-ray images, we obtained a remarkable accuracy of 98%.

The research team believes that their strategy could prove useful for the early detection of COVID-19 in hospitals and public health centers. Using automatic diagnostic techniques based on AI technology could take some work and pressure off of radiologists and other medical experts, who have been facing huge workloads since the pandemic started. Moreover, as more modern medical devices become connected to the Internet, it will be possible to feed vast amounts of training data to the proposed model; this will result in even higher accuracies, and not just for COVID-19, as Prof. Jeon states: The deep learning approach used in our study are applicable to other types of medical images and could be used to diagnose different diseases.

Link:

Artificial Intelligence May Help in the Fight Against COVID-19 - eTurboNews | Trends | Travel News