AI4E V3 Module 3
Summary
TLDRThis video script from 'AI for Everyone' explores the diverse applications of AI, showcasing projects by AI Singapore. It highlights AI's capabilities in object detection, post estimation for tasks like social distancing, and NLP for document understanding and spam detection. The script also discusses AI's role in Singapore's multilingual society, the importance of labeled data, and AI Singapore's programs to accelerate AI adoption in businesses, including the 100 Experiments and AI Makerspace initiatives.
Takeaways
- š§ AI has made significant advancements in object detection and recognition, making it easier to identify people, cars, bicycles, and animals with the help of correctly labeled datasets.
- š The success of AI systems relies heavily on the labor of workers who label images, often from countries like India, Vietnam, and Africa, highlighting the human effort behind AI's 'intelligence'.
- š AI Singapore's computer vision team has enhanced AI models with heuristics to tackle more complex tasks, such as pose estimation which can understand a person's interaction with the environment.
- š„ Pose estimation has been applied for social distancing measures during the COVID-19 pandemic, helping companies like HP maintain safety protocols in their factories.
- šŖ The AI system's capabilities have been extended to detect groups of people, supporting businesses in adhering to safety measures and classifying activities for exercise monitoring in local gyms.
- š§ Natural Language Processing (NLP) is a prevalent AI task, with applications ranging from spam detection in emails to document understanding and automated code generation.
- š Singapore's multilingual environment poses a challenge for AI programs, but AI Singapore, in partnership with NUS and NTU, has developed an engine capable of understanding mixed-language speech, including Singlish.
- š AI Singapore's core programs, such as the 100 Experiments and AI Makerspace, assist companies in adopting AI by building custom solutions or providing near-ready AI solutions.
- š ļø The 100 Experiments program collaborates with companies to develop AI solutions when off-the-shelf options are not available, and the company intends to hire trained AI engineers post-project.
- š AI Makerspace focuses on creating AI solutions based on research, helping businesses, especially SMEs, to quickly adopt AI with minimal R&D investment.
- š AI Singapore's initiatives have facilitated various AI use cases, including predicting device return rates, fraud detection in insurance claims, and document classification for analysts.
- š The script concludes by emphasizing the importance of exploring AI's potential responsibly, inviting viewers to engage with AI Singapore's resources and community.
Q & A
What is the main focus of Module 3 of AI for Everyone?
-The main focus of Module 3 is to explore the capabilities of AI, showcasing examples of AI projects done by AI Singapore, particularly for companies in Singapore.
How has AI been utilized for object detection and recognition in the past decade?
-AI has been successfully used for object detection and recognition in various scenarios, including identifying people, cars, bicycles, motorbikes, cats, and dogs, with the help of correctly labeled datasets.
What is the importance of having labeled images for training AI models?
-Labeled images are crucial for training AI models as they provide the necessary data for the AI to learn and accurately identify objects such as people, cars, and animals.
Who are typically responsible for labeling images for AI training datasets?
-The images are often labeled by low-paid workers in countries like India, Vietnam, and Africa, who manually draw boxes around objects and indicate what each box represents.
What is the role of heuristics in extending the capabilities of AI models in computer vision tasks?
-Heuristics are added to AI systems to tackle more challenging computer vision tasks, such as pose estimation, which allows the AI to understand not only the poses a person is in but also their interaction with the environment.
How was pose estimation utilized for social distancing during the COVID-19 pandemic?
-Pose estimation was used to develop an AI system for HP to ensure social distancing in their factory during the COVID-19 pandemic. The system was deployed on an edge device with a standard USB camera.
What is the purpose of the AI system developed for document understanding in NLP tasks?
-The AI system for document understanding in NLP tasks is used to sort through documents, such as tax documents, and perform tasks like relation extraction, text summarization, sentiment analysis, and automated news generation.
How has AI impacted the productivity of handling spam emails?
-AI has significantly reduced the time spent on handling spam emails by replacing the manual task with a modern spam detection engine, making the process more efficient and allowing users to focus on important emails.
What challenges do AI programs face in understanding multilingual speech in Singapore?
-AI programs often face challenges in understanding speech that includes a mix of languages commonly spoken in Singapore, such as English, Tamil, Mandarin, Cantonese, Malay, Hokkien, and Singlish.
What are the two core programs by AI Singapore that help companies adopt AI?
-The two core programs are the 100 Experiments program, which works with companies to build AI solutions, and the AI Makerspace program, which creates near-ready AI solutions called AI Breaks for quick adoption.
What are some examples of AI projects done by AI Singapore for companies?
-Examples include predicting device return rates for IBM, building a fraud detection model for Sample Insurance, creating an end-to-end AI system for GIC to classify documents, and developing a speech-to-text transcription engine for multilingual Singaporean contexts.
Outlines
š¤ AI Applications and Object Detection in Singapore
This paragraph introduces Module 3 of 'AI for Everyone' and delves into the capabilities of AI, particularly highlighting AI projects by AI Singapore. It discusses the successful implementation of AI for object detection and recognition in various scenarios over the last decade. The script emphasizes the importance of correctly labeled datasets for training AI models, often involving low-paid workers in countries like India, Vietnam, and Africa. It also touches on the integration of heuristics in AI systems to enhance capabilities, such as post-estimation for understanding human poses and interactions, with specific use cases like social distancing during the COVID-19 pandemic and activity classification in gyms. The paragraph concludes by mentioning the role of AI in natural language processing, including spam detection and document understanding, showcasing AI's ability to augment human productivity without job displacement.
š Multilingual AI and Speech Recognition in Singapore
The second paragraph focuses on the advancements in AI speech recognition, especially in multilingual societies like Singapore. It points out the challenges AI faces in understanding mixed-language speech and introduces the AI Speech Lab, a collaboration between AI Singapore and local universities that has developed an engine capable of deciphering English, Singlish, and other languages. The technology has been implemented in call centers for automatic transcription of conversations. The paragraph also outlines AI Singapore's core programs, the 100 Experiments and AI Makerspace, which assist companies in adopting AI solutions. Examples of these collaborations include predictive models for device return rates, fraud detection in insurance claims, and document classification systems. The paragraph also mentions other AI projects, such as predicting maintenance needs, analyzing social media for credit risk, and diagnosing chronic wounds using AI, emphasizing the wide range of AI applications in various industries.
š Encouraging AI Adoption in Singapore
The final paragraph summarizes the impact of AI Singapore's initiatives on local companies' AI adoption. It invites viewers to explore the AI Singapore website and the AI community page for more information. The paragraph concludes Module 3 by setting the stage for the next module, which will discuss the responsible use of AI. It emphasizes the importance of understanding AI's role in society and preparing for ethical considerations in AI deployment.
Mindmap
Keywords
š”AI for Everyone
š”Object Detection
š”AI Singapore
š”Post Estimation
š”Heuristics
š”Natural Language Processing (NLP)
š”Spam Detection
š”Relation Extraction
š”Multilingual Speech Recognition
š”AI Breaks
š”100 Experiments Program
š”AI Makerspace Program
Highlights
AI has been successfully used for object detection and recognition in various use cases over the last decade.
Correct datasets make it relatively easy to recognize people, cars, bicycles, animals, etc., with AI.
AI systems require a lot of carefully labeled images for training, often done by low-paid workers in countries like India, Vietnam, and Africa.
Heuristics added to AI systems extend their capabilities, allowing for more challenging computer vision tasks.
Post estimation in AI can understand poses and interactions of people with their environment.
AI was used for social distancing measures in HP's factory during the COVID-19 circuit breaker period.
AI can detect groups of people to support companies in ensuring COVID-19 safety protocols are followed.
Pose estimation can classify activities such as push-ups and sit-ups, aiding in exercise guidance for local gyms.
AI systems are used for sorting through documents, including spam detection in email systems.
Document understanding in NLP can extract relations from texts, as demonstrated with the 'Makhan Sutra' example.
AI Singapore's SG NLP AI model can decipher mixed-language sentences, including Singlish and other languages.
AI speech lab launched in 2019 to improve AI's understanding of multilingual speech.
AI Singapore's 100 Experiments program helps companies build AI solutions when off-the-shelf solutions are not available.
AI Makerspace program creates AI solutions based on research to help companies, especially SMEs, adopt AI quickly.
AI has been used for various projects, including predicting device return rates, fraud detection, and document classification.
AI Singapore has helped companies adopt AI for diverse applications, from speech-to-text transcription to suspicious vessel detection.
Popular AI use cases today include computer vision, natural language processing, and speech recognition.
AI Singapore's initiatives have significantly contributed to the adoption of AI by companies in Singapore.
Transcripts
welcome back to module 3 of ai for everyoneĀ in this section we'll explore what ai can doĀ Ā
and in particular we'll show you someĀ examples of ai projects done by ai singaporeĀ Ā
for companies here in singapore ai has beenĀ successfully used for many object detectionĀ Ā
and recognition use cases in the last 10 yearsĀ recognizing people cars bicycles motorbikesĀ Ā
cats and dogs is relatively easy now withĀ the correct data sets let's watch this video
as you can see this ai system is able toĀ pick up cars the bicycles the person andĀ Ā
so on this video was taken outside my house whatĀ is important to understand is that identifyingĀ Ā
people cars bicycles animals etc requires a lotĀ of carefully labeled images to train the ai modelĀ Ā
and someone has been paid 10 cents orĀ 50 cents to tag or label these imagesĀ Ā
the person will look at a picture andĀ then draw a box around a person or cardĀ Ā
and indicate that the box represents aĀ person or car this is a very laboriousĀ Ā
task and is often done by lowly paid workers inĀ countries such as india vietnam and africa todayĀ Ā
without these workers the ai system wouldĀ not have the labeled data sets to train onĀ Ā
so intelligence still come from us human the aiĀ system is merely replicating what we tell them
besides object detection ai systems can do a lotĀ more today in ai singapore computer vision teamĀ Ā
we have added heuristics to the ai systemĀ to extend the capabilities of the ai modelĀ Ā
this has allowed us to tackle moreĀ challenging computer vision tasksĀ Ā
in particular post estimation with postĀ estimation we can not only understandĀ Ā
the poses the person is in but also hisĀ or her interaction with the environment
let's look at some interesting use cases
one such use of post estimation is for socialĀ distancing as part of kovit 19 safety measures hpĀ Ā
approached ai singapore back in juneĀ 2021 during the circuit breaker periodĀ Ā
they were preparing to reopen their factoryĀ and needed a way to ensure social distancingĀ Ā
was maintained betweenĀ their workers in the factoryĀ Ā
we enhanced our post-estimation algorithm fineĀ posts for hp we implemented fine posts on an edgeĀ Ā
device mounted with a standard usb camera this aiĀ on the edge was deployed throughout hp factory inĀ Ā
under two months you can see it in action in theĀ first video we then further extended fine postsĀ Ā
to include the ability to detect groups of peopleĀ between two to five or eight this can be used toĀ Ā
support companies and fmv outlets who need toĀ ensure kovit 19 safety pro costs are followed
as pose estimation can detectĀ various joints in imagesĀ Ā
we classify activities such asĀ push-ups and sit-ups and count themĀ Ā
also this has been deployed for local gymĀ here to help their clients exercise correctly
natural language processing on nlp is a popular aiĀ task organizations and individuals generates a lotĀ Ā
of tax documents and ai systems are oftenĀ used to help sort through these documentsĀ Ā
one of the earliest and most useful ai systemsĀ for tech processing sits inside your emailĀ Ā
system the spam detection engine i rememberĀ when i started working in the early 1990sĀ Ā
i had to spend 10 to 20 minutes everyĀ day clearing my inbox of spam messagesĀ Ā
today i spent zero minutes as a modern spamĀ engine is really very good this is a good exampleĀ Ā
of how ai has replaced a specific work task andĀ made you productive without taking away your jobĀ Ā
in fact you now have more time to focus on theĀ important emails document understanding is anĀ Ā
important nlp task in this example i copiedĀ the about text from the machan sutra siteĀ Ā
into ai singapore's sg nlp ai model for relationĀ extraction the ai model correctly found relationsĀ Ā
such as makhan sutra was founded by ksitoĀ makan sutra inception was in 1997. other nlpĀ Ā
tasks include text summaries sentiment analysisĀ automated news generation and the latest automatedĀ Ā
code generation ai system from microsoft and openĀ ai that has caused a stir in the programming world
singapore is a multilingual countryĀ and it is common for people to speakĀ Ā
more than one language in the same sentenceĀ Ā
they woman paktor always makhan at kopityam1Ā this single sentence consists of a mix of englishĀ Ā
tamil mandarin cantonese malay hokkien andĀ singlish it can be challenging for the ai programsĀ Ā
from google or microsoft to understand sdr modelĀ is often trained only on u.s english speakers
ai singapore partnered withĀ researchers in nus and ntuĀ Ā
to launch the ai speech lab in 2019 andĀ they now have an engine that can decipherĀ Ā
english singlish mixed with mandarin orĀ malay let's listen to this demo hello
very loud
this technology has beenĀ deployed to several call centersĀ Ā
not to replace the operators but to automaticallyĀ transcribe the conversation once the audioĀ Ā
is converted into text all the powerful aiĀ guardians for text analysis can then be used
in ai singapore we have two core programs whichĀ directly help companies in singapore to adoptĀ Ā
ai faster in the 100 experiment program weĀ work with companies to build ai solutionsĀ Ā
when there is no off-the-shelf solutions and whereĀ the company wants to hire the trained ai engineersĀ Ā
after the project to build up their ownĀ capabilities some hundred e examples areĀ Ā
shown here for ibm we built an ai model toĀ predict which devices they have manufacturedĀ Ā
may have high return rates and we also helpĀ automate the whole analysis end-to-end for sampleĀ Ā
insurance we build a fraud detection model intoĀ their claims pipeline to detect suspicious claimsĀ Ā
these claims are not rejected but instead flaggedĀ to a employee to review with gic we built notĀ Ā
just an ai model but a complete end-to-end aiĀ system to ingest documents and classify themĀ Ā
into different categories and rank them so thatĀ the gic analysts can focus on the important onesĀ Ā
in the ai makerspace program as nupor buildsĀ near-ready ai solutions what we call ai breaksĀ Ā
based mainly on ai research work done in aiĀ singapore and other parts of the world to helpĀ Ā
companies especially our smes to quickly adoptĀ them with very little r d we had earlier mentionedĀ Ā
hp use of our fine posts ai break to deploy aĀ social distancing application in the factoryĀ Ā
at dapple road upasser is a digital savvyĀ sme who approached us for help to build aĀ Ā
simple delivery aggregation algorithm that is nowĀ embedded into their online platform it is usedĀ Ā
to cluster similar routes to reduce the number ofĀ delivery vehicles required per area some of theseĀ Ā
companies have agreed to do a video interviewĀ for us and you can watch them here in learn ai
other projects we have done for companies includeĀ prediction of when a leave in hdb fed will failĀ Ā
for preventive maintenance classifying the riskĀ of someone borrowing money based on his or herĀ Ā
social media activities analysis of the faceĀ to recommend the right type of cosmetic to useĀ Ā
chronic wound diagnosis using infrared imagesĀ this application in particular helped toĀ Ā
cut down the nurse investigationĀ time from 30 minutes to 3 minutesĀ Ā
we have spoken about our singlish speech-to-textĀ transcription engine we have also built models toĀ Ā
detect suspicious vessels in our surroundingĀ waters and to predict inventory levels forĀ Ā
factories here and one interesting project withĀ a large mnc was to predict which phrases andĀ Ā
words to use to get better hits from a searchĀ engine in this case japanese phrases and wordsĀ Ā
let's summarize popular ai use cases with deepĀ learning algorithms today include computer visionĀ Ā
natural language processing and speech recognitionĀ there are so many ai use cases leveragingĀ Ā
traditional statistical and machine learningĀ algorithms especially those with tabular dataĀ Ā
ai singapore's 100 experiments and aiĀ makerspace have helped companies here inĀ Ā
singapore to adopt ai i invite you to spendĀ time exploring not just the learn ai siteĀ Ā
but also our main home page at aisingapo.org andĀ the ai community page at community.aisingaport.orgĀ Ā
this concludes module 3. in the next moduleĀ we'll discuss the responsible use of ai
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