Category Archives: Artificial Intelligence
The B Side Of Artificial Intelligence, Around The Macho Algorithm – Nation World News
Bruno Fortea Miraso
Prague, 24 July. The social gaps of the analog world are also digitized at the hands of artificial intelligence (AI), as this technology often works with biased data on gender issues, and the solution to purging them is near, as consulted by EFE. Doing so also through the workings and legal imperative of AI to improve, according to experts.
Harvard University researcher Alexandra Przegalinska is convinced that, once they thoroughly examine artificial intelligence, public authorities will immediately see that perhaps there may be a certain abuse of power along with its potential.
In this sense, she celebrates the pioneering legislation that the European Commission has proposed, as it considers AI from a risk perspective, according to the professor attending the Womens Leadership School organized by the Chinese technology company Huawei. After, and which brought young talents from all over Europe together in Prague this week.
There is hope associated with AI, and we should uncover it. But there is also a risk associated with artificial intelligence, or the misuse of artificial intelligence. And I think its good that we have this regulation, he says .
The rules drawn up by Brussels consider the use of AI to be low risk to those who clearly carry high risk, a criterion which, according to Przegalinska, impacts on human life. varies depending on. This technology.
Lets think about a field like weather forecasting. Its not something thats going to hurt anyone if you tell them its going to rain. Its a trivial problem compared to a situation where a biased algorithm Says you have a disease that you dont have. You really dont have it, or where a very complicated algorithm tells you you cant get a loan and you dont know why, he says.
Women, the most hurt
In these situations, which Przegalinska uncovers, women are often most affected, given that their parameters are underrepresented in the databases with which algorithms operate and, therefore, they are a transmission belt of true discrimination. Which women have to suffer in the analog world.
Its not the technology thats the problem, its the people. Theres a saying in the AI world that garbage out, garbage in. So if the data is biased, there will certainly be bias in the system as well, says Tilburg University of Cognitive Science Thats the claim of the head of the region, Maria Postma, who also spoke with EFE.
The professor recalls that AI is an attempt to create an artificial version of human intelligence, for example in simultaneous language translation or autonomous driving of vehicles, so the original idea was, according to him, create a kind of human. Brain simulation.
AI feeds on the database and from this information, in turn, generates algorithms with mathematical models that guide its actions.
Suppose a database contains information about the profiles of job candidates based on decisions made in the past. And, in the past, many decisions were made with gender bias and female candidates were not selected. fixed position, he cites as an example.
And he continues: If the system works with this information, it will use gender as a variable in its decision-making process, because the AI will think that, if it excludes women, it will arrive at the same decision that humans did in the past, he warned.
Both Postma and Przegalinska claim the existence of solutions to stop this spiral of bias, which results either from systems excluding gender variables, according to Postma, or by deliberately screwing up mathematical models of AI. Przegalinska proposes scrambling and scrambling of the data to enhance the randomness of the algorithm.
AI researcher
For the director of the Spanish Womens Leadership School, Berta Herrero, the scope of work of these two experts shows that ethics experts are still needed in the field of AI.
The Spanish representative at the school, Maitane Gonzlez, a 22-year-old from Bilbao who has just graduated in law, is in favor of preventing pre-regulation of new technologies such as AI. EFE
bfm/cat/pi
(Photo/Video)
(This chronicle is part of a series supported by Huawei. Efes editorial content is independent of this companys posts)
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The B Side Of Artificial Intelligence, Around The Macho Algorithm - Nation World News
Artificial intelligence (AI) market, Prevention of fraud and malicious attacks to boost market growth, Evolving Opportunities with Alphabet Inc. and…
Read the 120-page report with TOC on "Artificial Intelligence (AI) Market Analysis Report byEnd-user (retail, banking, manufacturing, healthcare, and others) and Geography (North America, Europe, APAC, South America, and MEA), and the Segment Forecasts". Buy Sample Report Now!
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Parent Market Analysis
Technavio categorizes the globalartificial intelligence (AI) market as a part of the global application software market within the global information technology market. The end-to-end understanding of the value chainis essential in profit margin optimization and evaluation of business strategies. The data available in our value chain analysis segment can help vendors drive costs and enhance customer services during the forecast period.
The value chain of the application software marketincludes the following core components:
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Artificial Intelligence (AI) Market Scope
Report Coverage
Details
Page number
120
Base year
2020
Forecast period
2021-2025
Growth momentum & CAGR
Accelerate at a CAGR of 21%
Market growth 2021-2025
$ 76.44 billion
Market structure
Fragmented
YoY growth (%)
19.84
Regional analysis
North America, Europe, APAC, South America, and MEA
Performing market contribution
North America at 56%
Key consumer countries
US, China, Germany, UK, and France
Competitive landscape
Leading companies, Competitive strategies, Consumer engagement scope
Key companies profiled
Alphabet Inc., CognitiveScale, Intel Corp., International Business Machines Corp., Microsoft Corp., Nuance Communications Inc., NVIDIA Corp., Oracle Corp., Tesla Inc., and Wipro 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 the 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 Contents
Executive Summary
Market Landscape
Market Sizing
Five Forces Analysis
Market Segmentation by End-user
Customer landscape
Geographic Landscape
Vendor Landscape
Vendor Analysis
Appendix
About Technavio
Technavio is a leading global technology research and advisory company. Their research and analysis focus on emerging market trends and provide 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.
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Artificial intelligence (AI) market, Prevention of fraud and malicious attacks to boost market growth, Evolving Opportunities with Alphabet Inc. and...
Outlook on the Artificial Intelligence in Aviation Global Market to 2027 – Increasing Adoption of AI to Improve Customer Services Presents…
DUBLIN--(BUSINESS WIRE)--The "Global Artificial Intelligence in Aviation Market (2022-2027) by Offerings, Technology, Applications, Geography, Competitive Analysis and the Impact of Covid-19 with Ansoff Analysis" report has been added to ResearchAndMarkets.com's offering.
The Global Artificial Intelligence in Aviation Market is estimated to be USD 6.47 Bn in 2022 and is projected to reach USD 32.65 Bn by 2027, growing at a CAGR of 38.23%..
Market dynamics are forces that impact the prices and behaviors of the Global Artificial Intelligence in Aviation Market stakeholders. These forces create pricing signals which result from the changes in the supply and demand curves for a given product or service. Forces of Market Dynamics may be related to macro-economic and micro-economic factors. There are dynamic market forces other than price, demand, and supply. Human emotions can also drive decisions, influence the market, and create price signals.
As the market dynamics impact the supply and demand curves, decision-makers aim to determine the best way to use various financial tools to stem various strategies for speeding the growth and reducing the risks.
Competitive Quadrant
The report includes Competitive Quadrant, a proprietary tool to analyze and evaluate the position of companies based on their Industry Position score and Market Performance score. The tool uses various factors for categorizing the players into four categories. Some of these factors considered for analysis are financial performance over the last 3 years, growth strategies, innovation score, new product launches, investments, growth in market share, etc.
Ansoff Analysis
The report presents a detailed Ansoff matrix analysis for the Global Artificial Intelligence in Aviation Market. Ansoff Matrix, also known as Product/Market Expansion Grid, is a strategic tool used to design strategies for the growth of the company. The matrix can be used to evaluate approaches in four strategies viz. Market Development, Market Penetration, Product Development and Diversification. The matrix is also used for risk analysis to understand the risk involved with each approach.
The analyst analyses the Global Artificial Intelligence in Aviation Market using the Ansoff Matrix to provide the best approaches a company can take to improve its market position.
Based on the SWOT analysis conducted on the industry and industry players, The analyst has devised suitable strategies for market growth.
Why buy this report?
Market Dynamics
Drivers
Restraints
Opportunities
Challenges
Market Segmentations
The Global Artificial Intelligence in Aviation Market is segmented based on Offerings, Technology, Applications, and Geography.
Companies Mentioned
For more information about this report visit https://www.researchandmarkets.com/r/zbhai
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Outlook on the Artificial Intelligence in Aviation Global Market to 2027 - Increasing Adoption of AI to Improve Customer Services Presents...
Artificial intelligence pioneers fund next generation of researchers – University of Sydney
Professor Gemma Figtree
"We have long known that smoking, high cholesterol, diabetes and hypertension are risk factors for heart disease, but many people develop a silent build-up of plaque in their arteries and suffer subsequent heart attack without any of these risk factors," Professor Figtree said.
As part of the project, Professor Figtree and her team will apply complex algorithms to clinical and state-of-the-art 'omic' data to unravel novel biomarkers of heart disease in its early phases.
"As part of our study, we will analyse blood samples of individuals who have advanced imaging of their coronary arteries and characterisation of their coronary plaque burden. We will use advanced technology platforms to measure hundreds of thousands of small molecules in the blood, including, RNA, protein and metabolites, as well as genomic variations. With the help of machine learning, we will then be able to train our systems to discover novel signatures of coronary plaque."
"This will allow us to develop new methods for early diagnosis. Our vision is for a simple blood test that your GP could order on a regular basis to detect the earliest phases of coronary heart disease, many years before a heart attack. If positive, your GP could prescribe life-saving drugs that stabilise the plaque, and prevent plaque progression and heart attack."
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Artificial intelligence pioneers fund next generation of researchers - University of Sydney
Artificial Intelligence (AI) and the Risk of Bias in Recruitment Decisions – Lexology
As part of the UK data protection authoritys new three-year strategy (ICO25), launched on 14 July, UK Information Commissioner John Edwards announced an investigation into the use of AI systems in recruitment. The investigation will have a particular focus on the potential for bias and discrimination stemming from the algorithms and training data underpinning AI systems used to sift recruitment applications. A key concern is that training data could be negatively impacting the employment opportunities of those from diverse backgrounds.
Bias is a particular risk in AI or machine learning systems designed not to solve a problem by following a set of rules, but instead to learn from examples of what the solution looks like. If the data sets used to provide those examples have bias built in, then an AI system is likely to replicate and amplify that bias. For example, if successful candidates reflected in the training data share certain characteristics (such as gender, demographic profile or educational profile) then there is a risk of excluding candidates whose profiles do not match those criteria.
The ICO also plans to issue refreshed guidance for AI developers on ensuring that algorithms treat people and their information fairly. However, even where algorithms and training data reflect ethical guidance, it will remain best practice to retain meaningful human involvement in decision-making. In effect, AI systems should produce recommendations for human review, rather than decisions. Under EU and UK GDPR Article 22, decisions based solely on automated processing, including profiling, which produce legal effects concerning him or her or similarly significantly affects the data subject are restricted unless they are:
The making or withholding of employment offers would clearly constitute legal or similarly significant effects.
Where special category personal data is involved, decisions based solely on automated processing are permissible only:
In addition, because decisions based solely on automated processing are considered to be high risk, UK GDPR requires a Data Protection Impact Assessment (DPIA), showing that risks have been identified and assessed, and how they are addressed. From there, compliance obligations include:
The ICOs indication that investigating AI in the context of recruitment will be one of its priorities over the next three years is significant. AI and machine learning tools are an increasingly valuable resource, but they come with compliance obligations that are likely to come under intense scrutiny as an area of particular interest to the ICO as the UKs data protection authority. To learn more, or to discuss the practicalities of compliance, please contact the authors.
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Artificial Intelligence (AI) and the Risk of Bias in Recruitment Decisions - Lexology
Four artificial intelligence myths debunked experts reveal the TRUTH about robots taking over… – The Sun
There are many fears out there when it comes to artificial intelligence some rational, some irrational. Here's the truth.
By now, most people have integrated some form of artificial intelligence (AI) into their daily lives.
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For example, if you use Alexa to check the weather or ask Siri to tell you jokes, that's AI.
However, despite the widespread use of such technology around the world, people are still concerned about AI.
While many fears are valid such as AI taking over certain jobs, or making humans lazier others are unfounded.
Here are four myths surrounding AI.
Many people believe that AI is the end-all-be-all of data computation, however, this is not the case.
Users cannot simply load an AI algorithm with any data to get desired results it can only work with the right data.
Experts from American technology company TTEC defined this as "data that is relevant to the problem being solved and specific to a set of use cases and a domain of knowledge."
"Many in the technology industry erroneously claim that an AI solution can just be pointed at data and that the right answer will be produced by powerful machine learning algorithms."
Because many AI technologies are considered 'cognitive', some people believe they can function in the same way human brains do.
The truth is, 'cognitive technologies' can notsolve problems they werent programmed to solve.
Furthermore, most AI is labeled as 'narrow' or 'weak', meaning that it can only apply its knowledge to one or a few tasks.
The fear of AI taking over has developed from the idea that machines will somehow gain consciousness and turn on their creators.
In order for AI to achieve this, it would not only need to possess human-like intelligence, but it would also need to be able to predict the future or plan ahead.
As it stands, AI is not capable of doing either.
When prompted with the question "Is AI an existential threat to humanity," Matthew O'Brien, a robotics engineer from the Georgia Institute of Technologywrote onMetafact: "The long-sought goal of a 'general AI' is not on the horizon. We simply do not know how to make a general adaptable intelligence, and it's unclear how much more progress is needed to get to that point".
A recent study from John Hopkins University and the Georgia Institute of Technology found that some AI algorithms can display signs of racism and sexism.
These biases could prove to be extremely harmful to the groups of people affected, experts have claimed.
However, these unfair biases are not a product of the AI themselves.
Instead, they come from "human decisions about how an AI application is designed, tested, and deployed," experts from Google said.
"There are many instances where human decision-making from employment decisions to credit allocation results in unfair outcomes for vulnerable groups, and if AI is trained to mimic the behavior of those human decision-makers it can also reflect those biases."
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Four artificial intelligence myths debunked experts reveal the TRUTH about robots taking over... - The Sun
Artificial Intelligence could be the future of mental illness detection – Times Now
Functional magnetic resonance imaging (fMRI) scans are used to produce brain imaging data to evaluate dynamic brain activity by spotting minute variations in blood flow
Instead of a snapshot like an x-ray or the more popular structural MRI, he likened this type of dynamic imaging to a movie, noting that "the accessible data is so much larger, so much richer than a blood test or a standard MRI." But that's the problem, it is difficult to understand so much data.
A dataset with over 10,000 individuals served as the initial training ground for the AI models as they were taught the fundamentals of fMRI imaging and brain activity. Following that, the researchers used multi-site data sets of more than 1200 people, including those with Alzheimer's disease, schizophrenia, and an autism spectrum disorder.
How does it function? It's similar to how Facebook, YouTube, or Amazon start to learn about you from your online behaviour and start to forecast your future behaviour, likes, and dislikes. The computer programme was even able to pinpoint the precise "moment" when the brain imaging data most strongly suggested a connection to the relevant mental condition.
These discoveries must be put to use before a disorder shows up for them to be clinically helpful.
We might be able to take action if we can identify risk factors for Alzheimer's disease in a 40-year-old and predict that risk using markers, according to Calhoun.
Similar to this, there might be ways to provide better or more efficient therapies if schizophrenia risks can be recognised before there are actual changes in brain structure.
"We are still unable to anticipate when exactly it will develop, even if we know through previous testing or family history that someone is at risk of an illness like Alzheimer's," Calhoun said. Brain imaging could shorten that window by spotting the pertinent patterns as soon as they emerge before the clinical illness becomes evident.
Disclaimer: This story has been published from a newswire service and nothing except the headline has been changed by Times Now.
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Artificial Intelligence could be the future of mental illness detection - Times Now
New Online MS in Artificial Intelligence in Business Now Offered at University of the Cumberlands – Williamson Source
University of the Cumberlands is offering a new onlineMaster of Science in Artificial Intelligence in Businessdegree program, with classes beginning in fall 2022.
The new online program will be offered in hybrid, synchronous, and asynchronous formats and can be completed within one year (12 months). Students in the program will study the application of AI in manufacturing, sales and marketing, healthcare, financial services and risk management as well as key theory and best practices in data visualization, AI and operations management, and AI in human resources. Students may begin courses during any term of the academic year. More information about the new program is available atwww.ucumberlands.edu/masters-artificial-intelligence.
According to Lois McWhorter, chair of the Department of Business at Cumberlands, the new online MS in artificial intelligence in business degree program is especially advantageous for individuals who already have an undergraduate degree in business, computer science, computer engineering, information technology, or information systems.
Said McWhorter, Typically, these undergraduate programs offer a broad curriculum but lack the depth of specialization provided in a masters degree. This new masters program in AI will build on students technical background and develop their knowledge of artificial intelligence and its applications in many facets of business.The program will provide appropriate knowledge and training to utilize these technologies in response to workplace demands.
Per the new online programs proposal submitted by the business faculty at Cumberlands, Predictions are that companies will devote over 11% of their marketing budgets to advanced analytics by 2022 (Diorio, 2020) and that organizations will invest $125B by 2025 to integrate AI into their business processes. The faculty added that the United States Bureau of Labor Statistics expects computer occupations to increase by about 13% between 2016 and 2026. This increase is almost twice the average growth rate for all trades (ZipRecruiter, 2021). The workforce need seemed high enough to necessitate creating a new online masters degree in AI in business to give future students a step up in the business world.
Dr. Daniel Kanyam, director of graduate business programs at the university, said, Whilethere are numerous programs available in artificial intelligence nationwide, the majority focus on preparing those students to develop AI applications. Our new masters in AI in business is unique as the focus is on preparing students to understand how AI can transform businesses to not only be more efficient, but develop entirely new services.
University of the Cumberlands offers high-quality hybrid and online graduate programs at competitive costs. To learn more, visitwww.ucumberlands.edu.
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New Online MS in Artificial Intelligence in Business Now Offered at University of the Cumberlands - Williamson Source
Artificial Intelligence: Advancing the Workforce of the Future – Diverse: Issues in Higher Education
Steven R. GonzalesArtificial intelligence, or AI, is a rapidly growing industry that has the potential to lead our workforce into the future, with its unique ability to not only create jobs in its own field but also modernize other fields with cutting-edge technologies and machines
Skills in AI are highly sought after and give students a competitive edge when entering the job market. According to Kimberly Doyle at Infosec Resources, which tracks trends in security education, cyberthreats, and career development, more than 50,000 job openings are currently posted on Indeed for artificial intelligence. The Bureau of Labor Statistics projects a 15% increase in computer and information research jobs from 2019 to 2029, including positions like AI specialists and machine learning engineers. According to the 2021 Stanford AI Index report, AI has permeated nearly every industry in the global job market.
Arizona and Phoenix, which are home to the ten Maricopa Community Colleges, were projected to see 21,535 AI employment opportunities in 2020, which was 6% above the national average. Our local demand for AI talent is increasing in Maricopa County, and careers are projected to grow faster than the average rate for all employment over the next decade. Research done by our districts Workforce and Economic Development Office estimates an increase of 22.4% for these roles by 2029, according to Economic Modeling Specialists Inc.
At the Maricopa County Community College District, or MCCCD, our programs are designed to ensure students have the skills required for success in the workforce of the future, covering topics such as cloud computing, automotive technology, cybersecurity, welding, bilingual nursing, drone training, and a variety of STEM areas. Early on, we identified the potential for growth in artificial intelligence and were fortunate to partner with Intel in launching the countrys first artificial intelligence program through its AI for Workforce initiative.
In collaboration with Intel and the Arizona Commerce Authority, we created Arizonas first artificial intelligence certificate and degree program in 2020, enabling tens of thousands of students to land careers in healthcare, automotive, industrial, and aerospace fields. This established the Maricopa Community Colleges as the first in the U.S. to train workers for the regions driving demands in AI technology, allowing access for more students to master skills valuable across many occupations and industry sectors and ultimately improving the nations workforce, economy, and community.
The program enables our students to develop traditional skills such as data collection, AI model training, coding, and exploring the societal impact of AI technology. Occupations requiring AI skills include business analyst, java developer, data engineer, marketing manager, health manager, engineer, product manager, developer, front end developer, architect, etc. Top employers requesting these skills include Intel, IBM, Wells Fargo, Deloitte, American Express, and more.
Moreover, the most important result from implementing this program at the Maricopa Community Colleges is the ability to expand access to technology skills needed for current and future jobs and bridge the equity gap. Community colleges typically welcome a more diverse student population, with more representation from minority groups, older students, adults seeking reskilling and upskilling opportunities, and students in a lower financial demographic. Serving these traditionally underserved student populations with a first-of-its-kind STEM program allows more diverse members of the future job market to enter the AI community and shape the perspective of what our communities need.
Last spring, MCCCD launched more than 15,000 graduates into roles that directly impact the local workforce and have added more than $7.2 billion in income to the Maricopa County economy. There soon will be opportunities to complete a bachelor's degree in high-demand fields. Our colleges are evolving and enhancing our capability to nimbly respond to rapidly-evolving workforce needs and empower individuals with the skills they need to immediately succeed in their chosen career path.
Our success is directly related to our incredible faculty who work tirelessly to develop innovative programs that ensure our students are competitive and have access to high demand programs.
We are proud to be a catalyst for change by providing expertise and training in emerging fields such as artificial intelligence. We will continue to seek partnerships with companies such as Intel to deliver learning experiences to our students and help prepare the future workforce for impact and success. For additional information about the program, visit the dedicated AI website at: https://www.maricopa.edu/artificial-intelligence.
Dr. Steven R. Gonzales serves as interim chancellor of the Maricopa County Community College District (Ariz.).
The Roueche Center Forum is co-edited by Drs. John E. Roueche and Margaretta B. Mathis of the John E. Roueche Center for Community College Leadership, Department of Educational Leadership, College of Education, Kansas State University.
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Artificial Intelligence: Advancing the Workforce of the Future - Diverse: Issues in Higher Education
Artificial Intelligence Has A Baby’s Understanding Of Physics (Which Is Impressive) – IFLScience
The new AI developed an "intuitive physics", just as human babies do. Image: Olga Belyaevskaya/Shutterstock.com
From driverless vehicles to weapons systems, artificial intelligence (AI) models are being trusted with an awful lot of responsibility these days, so youd like to think the technology has some idea of whats going on. Fortunately, we can all now rest assured thanks to the whizzes at DeepMind, who have created the first ever AI with a grasp of physics comparable to that of a human baby.
Writing in the journal Nature Human Behaviour, the researchers explain how we develop intuitive physics within the first months of life, quickly coming to understand certain fundamental laws governing the material world. For example, infants tend to comprehend the concepts of permanence whereby objects dont simply vanish plus solidity and continuity, referring to the inability of objects to pass through one another or to suddenly alter their trajectory through time and space.
However, the authors go on to state that current artificial intelligence systems pale in their understanding of intuitive physics, in comparison to even very young children. To help the bots catch up, the team turned to the field of developmental psychology to develop an AI that is capable of learning in the same way as a baby.
For instance, by the age of about three months, human infants are capable of showing surprise when an object disobeys one of the three pillars of our intuitive physics. This ability is known as the violation-of-expectation (VoE) paradigm, and provides the inspiration behind the new AI.
Called PLATO standing for Physics Learning through Auto-encoding and Tracking Objects the deep-learning system was trained on a series of videos of balls moving through space and interacting with one another. The video dataset was specifically designed to represent the concepts of permanence, solidity and continuity, as well as two extra concepts known as unchangeableness and inertia. These relate to the fact that objects do not suddenly alter their basic characteristics or disobey the laws that govern speed and direction.
When PLATO was later shown videos of scenarios that contravened any of these five tenets, it successfully reacted with a VoE signal. After training PLATO on videos of simple physical interactions, we found that PLATO passed the tests in our Physical Concepts dataset, explained study author Luis Piloto in a statement.
By varying the amount of training data used by PLATO, we found that PLATO could learn our physical concepts with as little as 28 hours of visual experience.
Impressively, the AI could even identify transgressions of the laws of physics when looking at a separate video dataset featuring objects that it had never seen before. PLATO passed, without any re-training, despite being tested on entirely new stimuli, says Piloto.
This breakthrough certainly bodes well for the future of AI, since, As Piloto points out, if were to deploy safe and helpful systems in the real world, we want these models to share our intuitive sense of physics.
Obviously theres still a way to go, but baby smarts aint a bad start.
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Artificial Intelligence Has A Baby's Understanding Of Physics (Which Is Impressive) - IFLScience