Category Archives: Artificial Intelligence

Without bees, the United States could lose 100 commercial crops, world loses $100 billion

Everyone says, 'save the bees,' but researchers at Oregon State University College of Engineering have developed artificial intelligence to do just that.

The project, headed by assistant professor of chemical engineering Cory Simon and associate professor of computer science Xiaoli Fern, entailed using a machine learning model to predict the toxicity of new herbicides, insecticides or fungicides toward bees through their molecular structures. The National Science Foundation supported this research.

The results, published in The Journal of Chemical Physics' special issue "Chemical Design by Artificial Intelligence," are significant due to the dependence of many if not most fruit, vegetable, seed and nut crops on bee pollination.

If bees disappeared, so would almost 100 commercial crops in the United States. Additionally, bees' annual global economic contribution is estimated to surpass $100 billion.

"Pesticides are widely used in agriculture, which increase crop yield and provide food security, but pesticides can harm off-target species like bees," Simon said. "And since insects, weed, etc. eventually evolve resistance, new pesticides must continually be developed, ones that don't harm bees."

Graduate students Ping Yang and Adrian Henle fed the artificial intelligence honeybee toxicity data from pesticide exposure experiments to predict if new pesticide molecules would be toxic to bees.

"The model represents pesticide molecules by the set of random walks on their molecular graphs," Yang said.

A random walk is a math concept which predicts what a path, in this case a path along the chemical structure of a pesticide, will look like if left up to random chance.

"Imagine, Yang explains, that you're out for an aimless stroll along a pesticide's chemical structure, making your way from atom to atom via the bonds that hold the compound together," a release from OSU said. "You travel in random directions but keep track of your route, the sequence of atoms and bonds that you visit. Then you go out on a different molecule, comparing the series of twists and turns to what you've done before."

"The algorithm declares two molecules similar if they share many walks with the same sequence of atoms and bonds. Our model serves as a surrogate for a bee toxicity experiment and can be used to quickly screen proposed pesticide molecules for their toxicity."

You count on us to stay informed and we depend on you to fund our efforts.Quality local journalism takes time and money. Please support us to protect the future of community journalism.

Visit link:

OSU researchers use artificial intelligence to save bees from pesticides - Portland Tribune

New loss of containment capabilities will enable automatic detection of crude oil loss at oil and gas facilities

WALTHAM, MA / ACCESSWIRE / July 26, 2022 / Ondas Holdings Inc. (Nasdaq:ONDS), a leading provider of private wireless data, drone and automated data solutions through its wholly owned subsidiaries, Ondas Networks Inc. and American Robotics, Inc. ("American Robotics" or "AR"), announced today that American Robotics is adding new artificial intelligence anomaly detection capabilities to its autonomous Scout System drone. Loss of containment capabilities will enable oil and gas customers to minimize environmental risks, clean-up costs, fines, and litigation expenses. This new analytics feature is the first being introduced in connection with our strategic partnership with Dynam.AI, a leading edge provider of AI/ML development tools and services. Additional software-driven data analytics features targeted for the O&G markets are expected to be introduced in the second half of 2022.

"On the heels of our announcement of new high-resolution RGB and thermal camera payloads, American Robotics continues to enhance our offerings for current and future customers in the oil and gas industry," said Reese Mozer, co-founder and CEO of American Robotics. "This analytics feature is the first to be announced from our industry-optimized product roadmap put in place early last year. We have worked closely with our customers to define these requirements on route to fleet deployments, and we are grateful for their partnership."

The loss of containment analytics feature will accelerate early detection and location of crude oil leaks before they become critical to customers by providing frequent, autonomous inspections of oil and gas pumpjacks, heater treaters, tanks, pipes, pumps, and more via the autonomous Scout System. Autonomous drones have become a crucial component to ensuring safety and conducting regular inspections within the oil and gas industry. Through artificial intelligence anomaly detection capabilities tailor-made for the oil and gas industry, American Robotics is providing customers with the tools they need to reduce reputational risk resulting in loss of revenue and brand value, while minimizing environmental risk and costs associated with clean-ups.

A recent Market Research Future report predicted that the market size for drones in the oil and gas industry is projected to be worth over $23 billion by 2027. By continuing to add new features to its Scout System specifically for the oil and gas industry, American Robotics is further establishing itself as the market-leading autonomous drone-in-a-box (DIB) solution for the oil and gas sector. Combined with the high-resolution thermal and RGB camera payloads, the loss of containment analytics feature deepens and expands American Robotics' competitive differentiation within the oil and gas vertical.

A prototype of the loss of containment analytics feature is targeted for release in Q3 2022. To learn more about American Robotics and its Scout System drone, click here.

About Ondas Holdings Inc.Ondas Holdings Inc. ("Ondas") is a leading provider of private wireless data and drone solutions through its wholly owned subsidiaries Ondas Networks Inc. ("Ondas Networks") and American Robotics, Inc. ("American Robotics" or "AR"). Ondas Networks is a developer of proprietary, software-based wireless broadband technology for large established and emerging industrial markets. Ondas Networks' standards-based (802.16s), multi-patented, software-defined radio FullMAX platform enables Mission-Critical IoT (MC-IoT) applications by overcoming the bandwidth limitations of today's legacy private licensed wireless networks. Ondas Networks' customer end markets include railroads, utilities, oil and gas, transportation, aviation (including drone operators) and government entities whose demands span a wide range of mission critical applications. American Robotics designs, develops, and markets industrial drone solutions for rugged, real-world environments. AR's Scout System is a highly automated, AI-powered drone system capable of continuous, remote operation and is marketed as a "drone-in-a-box" turnkey data solution service under a Robot-as-a-Service (RAAS) business model. The Scout System is the first drone system approved by the FAA for automated operation beyond-visual-line-of-sight (BVLOS) without a human operator on-site. Ondas Networks and American Robotics together provide users in oil & gas, rail, mining, agriculture, and critical infrastructure markets with improved connectivity and data collection capabilities.

For additional information on Ondas Networks and Ondas Holdings, visit http://www.ondas.com or follow Ondas Networks on Twitter and LinkedIn. For additional information on American Robotics, visit http://www.american-robotics.com or follow American Robotics on Twitter and LinkedIn.

Information on our websites and social media platforms is not incorporated by reference in this release or in any of our filings with the U.S. Securities and Exchange Commission.

Forward-Looking StatementsStatements made in this release that are not statements of historical or current facts are "forward-looking statements" within the meaning of the Private Securities Litigation Reform Act of 1995. We caution readers that forward-looking statements are predictions based on our current expectations about future events. These forward-looking statements are not guarantees of future performance and are subject to risks, uncertainties and assumptions that are difficult to predict. Our actual results, performance, or achievements could differ materially from those expressed or implied by the forward-looking statements as a result of a number of factors, including the risks discussed under the heading "Risk Factors" discussed under the caption "Item 1A. Risk Factors" in Part I of our most recent Annual Report on Form 10-K or any updates discussed under the caption "Item 1A. Risk Factors" in Part II of our Quarterly Reports on Form 10-Q and in our other filings with the SEC. We undertake no obligation to publicly update or revise any forward-looking statements, whether as a result of new information, future events or otherwise that occur after that date, except as required by law.

ContactsMedia Contact for Ondas Holdings Inc.Derek Reisfield, President and CFOOndas Holdings Inc.888.350.9994 x1019[emailprotected]

Media Contact for American Robotics Payton St. LawrenceBIGfish Communications for American Robotics[emailprotected] 617-713-3800

Investor Relations ContactCody Cree and Matt Glover Gateway Group, Inc.949-574-3860[emailprotected]

SOURCE: Ondas Holdings Inc.

Go here to see the original:

Ondas Holdings American Robotics to Add New Artificial Intelligence Anomaly Detection Capabilities to its ... - AccessWire

PR Newswire

CHICAGO, July 28, 2022

CHICAGO, July 28, 2022 /PRNewswire/ --AACC welcomed thousands of medical professionals and healthcare leaders to the 2022 AACC Annual Scientific Meeting & Clinical Lab Expo from July 24-28. The meeting featured groundbreaking diagnostic advances that will solve challenging patient health problems, and affirmed just how essential laboratory medicine professionals are to patient safety and care.

(PRNewsfoto/AACC)

As of Wednesday, July 27, nearly 17,000 laboratory medicine professionals had registered for the meetinga clear sign that meeting attendance has bounced back to pre-pandemic levels. More attendees are expected today, the last day of the meeting.

A major highlight of the conference program was an in-depth discussion with Theranos whistleblowers Erika Cheung and Tyler Shultz about their efforts to reveal Theranos' fraud and protect patients. The session offered a vivid lesson in the standards of ethics and accountability at work within the profession.

Attendees also had the chance to see five plenary talks presented by life sciences pioneers.

In the opening keynote, Dr. Lucila Ohno-Machado discussed performance measures that may help clinicians select precision medicine artificial intelligence models for routine use.

Monday's plenary speaker, Dr. George Churchwinner of AACC's 2022 Wallace H. Coulter Lectureship Awardfocused on combining machine learning with multiplexing and how this is the key to unlocking the treasure chest of genomic technologies.

In Tuesday's plenary, Dr. Alysson Muotri explored brain organoids, which have been used to model the neurotropic effects of SARS-CoV-2 and provide insight into organogenesis and neurotoxicology.

On Wednesday, Dr. Thomas Lee described a three-component model for building trust between patients and the healthcare workforce.

Story continues

In today's closing keynote, Dr. Livia Schiavinato Eberlin presented on the development and application of direct mass spectrometry techniques used in clinical microbiology labs, clinical pathology labs, and the operating room.

As part of AACC's Disruptive Technology Award competition, biotech innovators presented novel technologies that could help more patients get accurate diagnoses. Nanopath won with its solid-state biosensing platform, which provides clinically actionable genetic information in less than 15 minutes and could greatly improve routine women's health screening at the point of care.

The 2022 AACC Clinical Lab Expo also featured 781 exhibitors and covered 246,700 net square feet. This dynamic exhibit featured cutting-edge tests from all laboratory medicine disciplines, including COVID-19 testing, artificial intelligence, mobile health, molecular diagnostics, mass spectrometry, point of care, and automation.

"We are thrilled to see the laboratory medicine and in vitro diagnostic community back in full force at the 2022 AACC Annual Scientific Meeting," said AACC CEO Mark J. Golden. "Laboratory medicine professionals have had a challenging two-plus years providing the testing that is crucial to managing the COVID-19 pandemic, and this meeting has been a vital opportunity for them to share lessons learned from this experience. It has also given our attendees the chance to look beyond the pandemic and prepare the field for the future. This year's AACC Annual Scientific Meeting showcased inspiring advances, and I am excited to see what next year's meeting will bring."

The 2023 AACC Annual Scientific Meeting & Clinical Lab Expo will be held in Anaheim, California from July 23-27, 2023.

About the 2022 AACC Annual Scientific Meeting & Clinical Lab ExpoThe AACC Annual Scientific Meeting offers 5 days packed with opportunities to learn about exciting science from July 24-28. Plenary sessions will explore artificial intelligence-based clinical prediction models, advances in multiplex technologies, human brain organogenesis, building trust between the public and healthcare experts, and direct mass spectrometry techniques.

At the AACC Clinical Lab Expo, more than 750 exhibitors will fill the show floor of the McCormick Place Convention Center in Chicago with displays of the latest diagnostic technology, including but not limited to COVID-19 testing, artificial intelligence, mobile health, molecular diagnostics, mass spectrometry, point-of-care, and automation.

About AACCDedicated to achieving better health through laboratory medicine, AACC brings together more than 70,000 clinical laboratory professionals, physicians, research scientists, and business leaders from around the world focused on clinical chemistry, molecular diagnostics, mass spectrometry, translational medicine, lab management, and other areas of progressing laboratory science. Since 1948, AACC has worked to advance the common interests of the field, providing programs that advance scientific collaboration, knowledge, expertise, and innovation. For more information, visit http://www.aacc.org.

Christine DeLongAACCSenior Manager, Communications & PR(p) 202.835.8722cdelong@aacc.org

Molly PolenAACCSenior Director, Communications & PR(p) 202.420.7612(c) 703.598.0472mpolen@aacc.org

Cision

View original content to download multimedia:https://www.prnewswire.com/news-releases/theranos-whistleblowers-and-experts-on-artificial-intelligence-and-genomic-sequencing-draw-nearly-17-000-attendees-to-the-2022-aacc-annual-scientific-meeting-301595463.html

SOURCE AACC

View post:

Theranos Whistleblowers and Experts on Artificial Intelligence and Genomic Sequencing Draw Nearly 17,000 Attendees to the 2022 AACC Annual Scientific...

Job Description

The Centre on Asia and Globalisation (CAG), at the Lee Kuan Yew School of Public Policy, National University of Singapore, invitesapplicationsfor a ResearchFellowshipin the field ofInternational Relations with a focus on technology and artificial intelligence (AI).

The Lee Kuan Yew School is a leading school of public policy with an international faculty and student body. CAG was established in 2006 to provide accurate, independent, and high-quality analysis on issues of regional and global significance for academia, decision-makers, commentators, and the general public. Its current research agenda focuses on: the prospects of regional and global order; the future of economic globalisation/de-globalisation and their impact on Asia; the alignment postures of Southeast Asia in an era of superpower competition; and the impact of technology and artificial intelligence on international politics (https://lkyspp.nus.edu.sg/cag).

Job Description

The candidate will conduct independent, in-depth, and fruitful research on issues in his/her expertise and contribute to the Centres research on technology and AI in international politics, including techno-nationalism and the impact of technology and AI on US-China rivalry. He/she is expected to initiate and organize research projects, workshops, conferences and other research events. He/she should be able to reach out to publishers and actively engage with academia, policy practitioners, media and business leaders as well as apply for external grants. In addition, he/she is expected to play a role in coordinating with other researchers and contribute to the broader intellectual life of the centre which focuses on the international relations of Asia.

Job Requirements

Job Requirements

Job Benefits

Benefits Include:

Application Procedure

Application Procedure

Applicants should submit the following in electronic form (MS Word or PDF file):

Please send electronic submissions to Ms. Serene Teang (cag@nus.edu.sg).

Covid-19 Message

At NUS, the health and safety of our staff and students are one of our utmost priorities, and COVID-vaccination supports our commitment to ensure the safety of our community and to make NUS as safe and welcoming as possible. Many of our roles require a significant amount of physical interactions with students/staff/public members. Even for job roles that may be performed remotely, there will be instances where on-campus presence is required.

Taking into consideration the health and well-being of our staff and students and to better protect everyone in the campus, applicants are strongly encouraged to have themselves fully COVID-19 vaccinated to secure successful employment with NUS.

More Information

Location: Bukit Timah CampusOrganization: Lee Kuan Yew School of Public PolicyDepartment : Academic AffairsEmployee Referral Eligible: NoJob requisition ID : 16718

Link:

Senior Research Fellow, International Relations, Technology and Artificial Intelligence job with NATIONAL UNIVERSITY OF SINGAPORE | 303037 - Times...

Disturbing footage emerged this week of a chess-playing robot breaking the finger of a seven-year-old child during a tournament in Russia.

Public commentary on this event highlights some concern in the community about the increasing use of robots in our society. Some people joked on social media that the robot was a sore loser and had a bad temper.

Of course, robots cannot actually express real human characteristics such as anger (at least, not yet). But these comments do demonstrate increasing concern in the community about the humanisation of robots. Others noted that this was the beginning of a robot revolution evoking images that many have of robots from popular films such as RoboCop and The Terminator.

While these comments may have been made in jest and some images of robots in popular culture are exaggerated, they do highlight uncertainty about what our future with robots will look like. We should ask: are we ready to deal with the moral and legal complexities raised by human-robot interaction?

Many of us have basic forms of artificial intelligence in our home. For instance, robotic vacuums are very popular items in houses across Australia, helping us with chores we would rather not do ourselves.

But as we increase our interaction with robots, we must consider the dangers and unknown elements in the development of this technology.

Examining the Russian chess incident, we might ask why the robot acted the way it did? The answer to this is that robots are designed to operate in situations of certainty. They do not deal well with unexpected events.

So in the case of the child with the broken finger, Russian chess officials stated the incident occurred because the child violated safety rules by taking his turn too quickly. One explanation of the incident was that when the child moved quickly, the robot mistakenly interpreted the childs finger as a chess piece.

Whatever the technical reason for the robots action, it demonstrates there are particular dangers in allowing robots to interact directly with humans. Human communication is complex and requires attention to voice and body language. Robots are not yet sophisticated enough to process those cues and act appropriately.

Read more: Researchers trained an AI model to 'think' like a baby, and it suddenly excelled

Despite the dangers of human-robot interaction demonstrated by the chess incident, these complexities have not yet been adequately considered in Australian law and policies.

One fundamental legal question is who is liable for the acts of a robot. Australian consumer law sets out robust requirements for product safety for goods sold in Australia. These include provisions for safety standards, safety warning notices and manufacturer liability for product defects. Using these laws, the manufacturer of the robot in the chess incident would ordinarily be liable for the damage caused to the child.

However, there are no specific provisions in our product laws related to robots. This is problematic because Australian Consumer law provides a defence to liability. This could be used by manufacturers of robots to evade their legal responsibility, as it applies if

the state of scientific or technical knowledge at the time when the goods were supplied by their manufacturer was not such as to enable that safety defect to be discovered.

To put it simply, the robot manufacturer could argue that it was not aware of the safety defect and could not have been aware. It could also be argued that the consumer used the product in a way that was not intended. Therefore, I would argue more specific laws directly dealing with robots and other technology are needed in Australia.

Law reform bodies have done some work to guide our lawmakers in this area. For instance, the Australian Human Rights Commission handed down a landmark Human Rights and Technology Report in 2021. The report recommended the Australian government establish an AI safety commissioner focused on promoting safety and protecting human rights in the development and use of AI in Australia. The government has not yet implemented this recommendation, but it would provide a way for robot manufacturers and suppliers to be held accountable.

The chess robots acts this week have demonstrated the need for greater legal regulation of artificial intelligence and robotics in Australia. This is particularly so because robots are increasingly being used in high-risk environments such as aged care and to assist people with a disability. Sex robots are also available in Australia and are very human-like in appearance, raising ethical and legal concerns about the unforeseen consequences of their use.

Read more: Six ways robots are used today that you probably didn't know about

Using robots clearly has some benefits for society they can increase efficiency, fill staff shortages and undertake dangerous work on our behalf.

But this issue is complex and requires a complex response. While a robot breaking a childs finger may be seen as a once-off, it should not be ignored. This event should cause our legal regulators to implement more sophisticated laws that directly deal with robots and AI.

See original here:

A robot breaks the finger of a 7-year-old: a lesson in the need for stronger regulation of artificial intelligence - The Conversation Indonesia

In 2019, guards on the borders of Greece, Hungary, and Latvia began testing an artificial-intelligence-powered lie detector. The system, called iBorderCtrl, analyzed facial movements to attempt to spot signs a person was lying to a border agent. The trial was propelled by nearly $5 million in European Union research funding, and almost 20 years of research at Manchester Metropolitan University, in the UK.

The trial sparked controversy. Polygraphs and other technologies built to detect lies from physical attributes have been widely declared unreliable by psychologists. Soon, errors were reported from iBorderCtrl, too. Media reports indicated that its lie-prediction algorithm didnt work, and the projects own website acknowledged that the technology may imply risks for fundamental human rights.

This month, Silent Talker, a company spun out of Manchester Met that made the technology underlying iBorderCtrl, dissolved. But thats not the end of the story. Lawyers, activists, and lawmakers are pushing for a European Union law to regulate AI, which would ban systems that claim to detect human deception in migrationciting iBorderCtrl as an example of what can go wrong. Former Silent Talker executives could not be reached for comment.

A ban on AI lie detectors at borders is one of thousands of amendments to the AI Act being considered by officials from EU nations and members of the European Parliament. The legislation is intended to protect EU citizens fundamental rights, like the right to live free from discrimination or to declare asylum. It labels some use cases of AI high-risk, some low-risk, and slaps an outright ban on others. Those lobbying to change the AI Act include human rights groups, trade unions, and companies like Google and Microsoft, which want the AI Act to draw a distinction between those who make general-purpose AI systems, and those who deploy them for specific uses.

Last month, advocacy groups including European Digital Rights and the Platform for International Cooperation on Undocumented Migrants called for the act to ban the use of AI polygraphs that measure things like eye movement, tone of voice, or facial expression at borders. Statewatch, a civil liberties nonprofit, released an analysis warning that the AI Act as written would allow use of systems like iBorderCtrl, adding to Europes existing publicly funded border AI ecosystem. The analysis calculated that over the past two decades, roughly half of the 341 million ($356 million) in funding for use of AI at the border, such as profiling migrants, went to private companies.

The use of AI lie detectors on borders effectively creates new immigration policy through technology, says Petra Molnar, associate director of the nonprofit Refugee Law Lab, labeling everyone as suspicious. You have to prove that you are a refugee, and you're assumed to be a liar unless proven otherwise, she says. That logic underpins everything. It underpins AI lie detectors, and it underpins more surveillance and pushback at borders.

Molnar, an immigration lawyer, says people often avoid eye contact with border or migration officials for innocuous reasonssuch as culture, religion, or traumabut doing so is sometimes misread as a signal a person is hiding something. Humans often struggle with cross-cultural communication or speaking to people who experienced trauma, she says, so why would people believe a machine can do better?

Link:

The Fight Over Which Uses of Artificial Intelligence Europe Should Outlaw - WIRED

Machine learning is one of the artificial intelligence models frequently used for modeling, prediction, and management of swine farming. Machine learning models mainly include algorithms of a decision tree, clustering, a support vector machine, and the Markov chain model focused on disease detection, behaviour recognition for postural classification, and sound detection of animals. The researchers from North Carolina State University and Smithfield Premium Genetics* demonstrated the application of machine learning algorithms to estimate body weight in growing pigs from feeding behaviour and feed intake data.

Feed intake, feeder occupation time, and body weight information were collected from 655 pigs of 3 breeds (Duroc, Landrace, and Large White) from 75 to 166 days of age. 2 machine learning algorithms (long short-term memory network and random forest) were selected to forecast the body weight of pigs using 4 scenarios. Long short-term memory was used to accurately predict time series data due to its ability in learning and storing long term patterns in a sequence-dependent order and random forest approach was used as a representative algorithm in the machine learning space. The scenarios included an individually informed predictive scenario, an individually and group informed predictive scenario, a breed-specific individually and group informed predictive scenario, and a group informed predictive scenario. 4 models each implemented with 3 algorithms were constructed and trained by different subsets of data collected along the grow-finish period to predict the body weight of individuals or groups of pigs.

Overall, as pigs matured and gained weight, daily feed intake increased, while the daily number of visits and daily occupation time decreased. Overall, the individually informed predictive scenario achieved better predictive performances than the individually and group informed predictive scenarios in terms of correlation, accuracy, sensitivity, and specificity. The greatest correlation was 0.87, and the highest accuracy was 0.89 for the individually informed prediction, while they were 0.84 and 0.85 for the individually and group informed predictions, respectively. The effect of the addition of feeding behaviour and feed intake data varied across algorithms and scenarios from a small to moderate improvement in predictive performance.

This study demonstrated various roles of feeding behaviour and feed intake data in diverse predictive scenarios. The information collected from the period closest to the finishing stage was useful to achieve the best predictive performance across predictions. Artificial intelligence has the potential to connect feeding behaviour dynamics to body growth and to provide a promising picture of the feeding behaviour data involvement in the group-housed pigs body weight prediction. Artificial intelligence and machine learning can be used as management tools for swine farmers to evaluate and rank individual pigs to adjust feeding strategies during the growth period and to avoid sorting losses at the finishing stage while reducing labor and costs.

Some technologies and tools have been developed for data collection, data processing, and modeling algorithms to evaluate pigs feeding behaviour and feed intake. These technologies demonstrated great potential to enhance the swine industry efficiency on decision making. A standard database or method for data cleaning and selection is however required to minimise the time and costs of data processing.

* He Y, Tiezzi F, Howard J, Maltecca C. Predicting body weight in growing pigs from feeding behavior data using machine learning algorithms. Comput Electron Agric. 2021;184:106085. doi:10.1016/j.compag.2021.106085

Visit link:

Artificial intelligence: a new paradigm in the swine industry - Pig Progress

Virtual assistants usually hog the spotlight when it comes to talk of artificial intelligence software on smartphones and tablets. But Apples Siri, Google Assistant, Samsungs Bixby and company arent the only tools using machine learning to make life easier other common programs use the technology, too. Heres a quick tour through some common A.I.-driven apps and how you can manage them.

When you set up a new device, youre usually invited to enroll in its facial recognition security program, which captures your image and analyzes it so the program will recognize you in different looks and lighting situations. Later, when you want to unlock the device or use apps like digital payment systems, the camera confirms that your face matches the stored data so you can proceed.

If you decide to use the feature, check your device makers privacy policy to see where that data is stored. For example, Apple states that Face ID data does not leave your device, and Google says it stores face data on the security chips on its Pixel phones. If you sign up and then have second thoughts, you can always go into your phones Face ID or Face Unlock settings, delete or reset the data, turn off the feature and stick with a passcode.

If youve ever been typing along on your phones keyboard and noticed suggested words for what you might type next, thats machine learning in action. Apples iOS software includes a predictive text function that bases its suggestions on your past conversations, Safari browser searches and other sources.

Googles Gboard keyboard for Android and iOS can offer word suggestions, and Google has a Smart Compose tool for Gmail and other text-entry apps that draws on personal information collected in your Google Account to tailor its word predictions. Samsung has its own predictive text software for its Galaxy devices.

The suggestions may save you time, and Apple and Google both state that the customized predictions based on your personal information remain private. Still, if youd like fewer algorithms in your business, turn it off. On an iPhone (or iPad), you can turn off Predictive Text in the Keyboard settings.

Google Lens (for Android and iOS) and Apples Live Text feature use artificial intelligence to analyze the text in images for automatic translation and can perform other helpful tasks like Apples visual look up. Google Lens can identify plants, animals and products seen through the phones camera, and these searches are saved. You can delete the information or turn off the data-gathering in the Web & App Activity settings in your Google Account.

In iOS 15, you can turn off Live Text by opening the Settings app, tapping General and then Language & Region and turning off the button for Live Text. Later this year, Live Text is getting an upgrade in iOS 16, in which Apple stresses the role of on-device intelligence in doing the work.

These A.I.-in-action tools are most useful when they have access to personal information like your address and contacts. If you have concerns, read your phone makers privacy policy: Apple, Google and Samsung all have documents posted in their sites. The nonprofit site Common Sense Media has posted independent privacy evaluations for Siri, Google Assistant and Bixby.

Setting up the software is straightforward because the assistant guides you, but check out the apps own settings to customize it. And dont forget the general privacy controls built into your phones operating system.

Read the original post:

Use That Everyday A.I. in Your Pocket - The New York Times

Sweeping rules to police artificial intelligence in the European Union could come as soon as 2023 but Spain wants to get a move on.

The country this week in Brussels unveiled a new plan to test the EU's Artificial Intelligence Act, which seeks to enforce strict rules on technologies like facial recognition and algorithms for hiring and to determine social benefits.

Starting in October, Madrid will set up a sandbox a closed-off environment where hundreds of companies will be able to test their risky AI systems for law enforcement, health or education purposes, following the rules proposed by the European Commission in 2021 and under the oversight of regulators.

The development of artificial intelligence is a priority in Spain, the countrys junior minister for digital Carme Artigas told POLITICO.

Spain has already launched several initiatives in the field of AI. Earlier in June, the labor ministry presented a new tool to enable platform workers to request companies like Uber and Deliveroo to explain whats behind the algorithms deciding their schedules and rating their productivity. Madrid is also set to establish a new artificial intelligence authority by 2023.

The project seeks to give a headstart to European startups and medium-sized companies, which make up a large part of Europe's economic fabric, at a time when innovation in artificial intelligence is largely driven by Big Tech firms including Google, Microsoft, IBM and Meta (Facebook's parent company). Smaller companies have warned that the future European AI requirements could prove really challenging to meet.

In a global race to master artificial intelligence, the EU has been trying to push for the development of responsible AI systems. The goal is to give "confidence to citizens and companies that European AI is safe, trustworthy and respects our values," Internal Market Commissioner Thierry Breton said on June 27 at the launch of the Spanish project.

Under its new scheme, Spain hopes to convince companies working on AI systems like self-driving cars, hiring and work-management algorithms, and health applications to come under the microscope of regulators so that they can help them to follow the flurry of future rules on the quality of data sets and of human oversight. Regulators would also warn Spanish and Commission officials about potentially dangerous loopholes as well as guidelines for industries and best practices.

Authorities would also train their staff to supervise and understand complex algorithms.

Artigas said the EUs privacy rules, theGeneral Data Protection Regulation, had caught Spain off-guardby having to translate complex legal requirements in a short time.She said the country was really concerned about making sure the upcoming AI rules didnt similarly throw off regulators or put Spanish companies at a disadvantage

The project could prove tricky, though, since European lawmakers and EU countries in the Council are still negotiating on their versions of the AI law, where many controversial issues have popped up. These include calls to fully ban all facial recognition and algorithms to predict crimes or prison sentences. Lawmakers are also still undecided on the enforcement of the rules and have different opinions on regulatory sandboxes.

But Artigas said the Spanish pilot will include AI companies working on high-risk projects that are not seen as controversial, such as autonomous cars or medical AI, and remain flexible. The project will receive 4.3 million from the EU's recovery fund.

In a strategic move, the Spanish government wants to reveal the findings of its AI test in the second half of 2023, when Madrid takes up the head of the Council of the EU and seeks to clinch a final deal on the AI rulebook.

This article is part ofPOLITICO Pro

The one-stop-shop solution for policy professionals fusing the depth of POLITICO journalism with the power of technology

Exclusive, breaking scoops and insights

Customized policy intelligence platform

A high-level public affairs network

Read more:

Hungry for rules: Spain to test Europes artificial intelligence law ahead of time - POLITICO Europe

NEW YORK, June 29, 2022 /PRNewswire/ --The "Artificial Intelligence (AI) Market in Retail Sector Market - Competitive Analysis, Drivers, Trends, Challenges &Five Force Analysis" report has been added to Technavio's offering.The artificial intelligence (AI) market in the retail sector market value is anticipated to grow by USD 29.57 billion, at a CAGR of 35.69% from 2021to 2026.

Technavio has announced its latest market research report titled Artificial Intelligence (AI) Market in Retail Sector Market by Application and Geography - Forecast and Analysis 2022-2026

40% of the market's growth will originate from North America during the forecast period. US andCanada are the key markets forartificial intelligence (AI)in the retail sectorin North America. Market growth in this region will be fasterthan the growth of the market in South America and MEA.The significant increase in theinvestments in the technology and theearly adoption of AI will facilitate theartificial intelligence (AI) market growth in the retail sector in North America over the forecast period.

For more information on region segment Get a sample now!

Market Dynamics

The key factordriving the global artificial intelligence (AI) market growth inthe retail sector is the rise in investments and R&D in AI startups. Many governments have come up with formal AI frameworks and strategies, such as the US executive order on American leadership in AI, China's Next Generation Artificial Intelligence Development Plan, and AI Made in Germany, all of which are aimed at driving economic and technological growth.

However,the key challenge to the global artificial intelligence market growth in the retail sector is theprivacy issues associated with AI deployment. By using advanced data mining techniques, data is gathered on several parameters such as the customer's buying habits, customers' online behavior, and payment information.

To know about other drivers & challenges along with market trends Request a sample now!

Company Profiles

The artificial intelligence (AI) market in the retail sector market is fragmented and the vendors are deploying growth strategies such aspricing and marketing strategies andproduct differentiationto compete in the market.

Story continues

Some of the companies covered in this report are Accenture Plc, Amazon.com Inc., BloomReach Inc., Capgemini SE, Daisy Intelligence Corp., Element AI Inc., Evolv Technology Solutions Inc., Inbenta Technologies Inc., Infosys Ltd., Intel Corp., International Business Machines Corp., Mad Street Den Inc., Microsoft Corp., NVIDIA Corp., Oracle Corp., Plexure Group Ltd., Salesforce.com Inc., SAP SE, Symphony Retail Solutions, and Trax Technology Solutions Pte. Ltd., etc.

To know about all major vendor offerings Click here for sample report!

Competitive Analysis

The competitive scenario provided in the artificial intelligence (AI) market in retail sector market report analyzes, evaluates, and positions companies based on various performance indicators. Some of the factors considered for this analysis include the financial performance of companies over the past few years, growth strategies, product innovations, new product launches, investments, growth in market share, etc.

Segmentation Analysis

By Application, the market is classified assales and marketing, in-store, PPP, and logistics management.

ByGeography, the market is classified as North America, APAC, Europe, the Middle East and Africa, and South America.

To know about the contribution of each segment - Request a sample report!

Related Reports:

Product Information Management Market-The product information management market share is expected to increase toUSD7.40 billion from 2021 to 2026,and the market's growth momentum will accelerate at a CAGR of 12.17%.Download a sample now!

Business Productivity Software Market-The business productivity software market share is estimated to reach a value of USD98.39 billion from 2021 to 2026 at an acceleratingCAGR of 14.24%. Download a sample now!

Artificial Intelligence (AI) Market Scopein Retail Sector

Report Coverage

Details

Page number

120

Base year

2021

Forecast period

2022-2026

Growth momentum & CAGR

Accelerate at a CAGR of 35.69%

Market growth 2022-2026

$ 29.57 billion

Market structure

Fragmented

YoY growth (%)

31.45

Regional analysis

North America, APAC, Europe, Middle East and Africa, and South America

Performing market contribution

North America at 40%

Key consumer countries

US, Canada, China, Japan, and UK

Competitive landscape

Leading companies, Competitive strategies, Consumer engagement scope

Key companies profiled

Accenture Plc, Amazon.com Inc., BloomReach Inc., Capgemini SE, Daisy Intelligence Corp., Element AI Inc., Evolv Technology Solutions Inc., Inbenta Technologies Inc., Infosys Ltd., Intel Corp., International Business Machines Corp., Mad Street Den Inc., Microsoft Corp., NVIDIA Corp., Oracle Corp., Plexure Group Ltd., Salesforce.com Inc., SAP SE, Symphony Retail Solutions, and Trax Technology Solutions Pte. Ltd.

Market dynamics

Parent market analysis, Market growth inducers and obstacles, Fast-growing and slow-growing segment analysis, COVID 19 impact and recovery analysis and future consumer dynamics, Market condition analysis for forecast period

Customization purview

If our report has not included the data that you are looking for, you can reach out to our analysts and get segments customized.

Table of Content

1 Executive Summary

2 Market Landscape

3 Market Sizing

4 Five Forces Analysis

5 Market Segmentation by Application

6 Customer Landscape

7 Geographic Landscape

8 Drivers, Challenges, and Trends

9 Vendor Landscape

10 Vendor Analysis

11 Appendix

About Us

Technavio is a leading global technology research and advisory company. Their research and analysis focus on emerging market trends and provides actionable insights to help businesses identify market opportunities and develop effective strategies to optimize their market positions. With over 500 specialized analysts, Technavio's report library consists of more than 17,000 reports and counting, covering 800 technologies, spanning across 50 countries. Their client base consists of enterprises of all sizes, including more than 100 Fortune 500 companies. This growing client base relies on Technavio's comprehensive coverage, extensive research, and actionable market insights to identify opportunities in existing and potential markets and assess their competitive positions within changing market scenarios.

Contact

Technavio ResearchJesse MaidaMedia & Marketing ExecutiveUS: +1 844 364 1100UK: +44 203 893 3200Email: media@technavio.comWebsite: http://www.technavio.com/

Technavio (PRNewsfoto/Technavio)

Cision

View original content to download multimedia:https://www.prnewswire.com/news-releases/artificial-intelligence-ai-market-in-retail-sector-market---40-of-growth-to-originate-from-north-america-driven-by-the-rise-in-investments-and-r--d-in-ai-startups-technavio-301576949.html

SOURCE Technavio

See the original post:

Artificial Intelligence (AI) Market in Retail Sector Market - 40% of Growth to Originate from North America| Driven by the Rise in Investments and R...