![Scan Report
Stage 1
Stage 2
Stage 1
Arya as a Radiologist: How to build it?
17
Step 2: Upload/Select training dataStep 1: Choose the needed modules Step 3: IntegrateAPI
Vision: Radiologist
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Arya as Radiologist in 3 steps](https://image.slidesharecdn.com/arya-160314201904/85/Arya-ai-artificial-intelligence-platform-vinay-kumar-17-320.jpg)
![Arya as Research Companion:
19
Step 2: Upload/Select training dataStep 1: Choose the needed modules Step 3: IntegrateAPI
{"images":
["https://s3.amazonaws.co
m/800-arya-vision/61-
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Arya as a Professional Companion
Context Module
Text Classifier
Dialogue Creator
Graph Reading
Concept Relation
Reasoning
Research Papers,
Books,Patents etc
Sample
Dialogues
Text Classifier
Training](https://image.slidesharecdn.com/arya-160314201904/85/Arya-ai-artificial-intelligence-platform-vinay-kumar-19-320.jpg)
Arya.ai artificial intelligence platform vinay kumar
- 1. BUILD SMARTER SYSTEMS Developer platform for Deep Learning
- 2. 2 Pain Point: Technology created ‘Information Monster’! SRC: IBM 40% Time spent by professionals in search for right information for decision making 80% World’s unstructured data! 10ZB Current data size The data is expected to grow to 70 Zeta Bytes by 2020
- 3. 3 Problem Solution Analyse Prioritise PublicPrivate Personal Collect APPS Humans can’t analyse this! Pain point: Trillions of clues & options
- 5. Problem: How does machines learn? By writing rules for each task!! Hand crafted features based on task with a bounded limits Ex: Libraries, Ontologies etc! Task 1 Task 2 Task n Rules: 1 2 3 Rules: 1a 2a 3a Rules: 1aa 2aa 3aa …………….
- 6. Problem: Highly limited by rules and task • Cannot keep on writing rules for each task • Machine learning will over fit • Machine is bounded • Highly time taking
- 7. Deep Neural Nets: Neural architectures of learning to make it learn faster with minimal inputs from humans Human Brain Made of billions of neurons Machines using the same neural architectures Machines
- 8. Where are these Deep Neural networks can be applied to: Computer Vision Language Processing DataAnalysis & pretty much anywhere Every task which has enough inputs and end points data can be converted into a neural program which can adapt continuously! Ant government debt problems turning into banking crises as has happened in Computer Vision Language Processing DataAnalysis Ant 1954 has caused enough depreciation in dollar value and in economic stability
- 9. Building an AI system is complex Intelligence CPU/GPU’s Dev Ops Multi step process that involves syncing efforts from experts and solving multiple complex challenges at each step DATA SCALESOLUTION Experts Experts Experts
- 10. Arya.ai enables developers to focus on their product Arya.ai solves the most complex in ‘AI’ building process so that developers,startups and enterprises can focus on core product features and product differentiations! DATA SCALESOLUTION Complete scalable ‘AI’ stack Intelligence Dev OpsExpertise CPU/GPU’s
- 11. Arya.ai: Multi-functional Deep Learning Platform AI bots ComputerVision Language Reasoning QnA Systems Conversation system upon knowledge base FAQ + CRM Bots Action based conversation systems Transaction Assistants Conversation system that performs or assists with transactions QualityAnalyst Intensive quality cross checks using multiple data sources General Classifier Use 1000+classes to classify images E-commerce Classify/search products withvisual inputs Face Match Compare and de-duplicate faces from pictures and videos Object Segmentation Identify various objects within a visual arena Action Classifier Classify actions in multi-media format videos Text Classifier Classify text with/withoutdomain context Sentiment Classifier Classify text into ‘sentiments’ Entity Extraction Extract entities fromunstructured information Semantic Similarity Compare text with domain contextualsimilarity Dialogue Systems Enable yourapplications to develop conversations Radiologist Medicalreports based on classification visualmedicalimages Object segmentation/classifier in videos Identify various objects in videos and classify objects Train your own classifier Teach the machine to carry out your own tasks Event Prediction Supervised & unsupervised neuralnetworks
- 12. Technology Software Hardware Multi-layered Deep Neural Networks Deep Neural Nets enable machines to learn from/with the environment,either supervised/unsupervised and adapt to changing situations Graphic Units + CPU Units Customized architectures that are optimized for better latencies and faster deployments of high computational complex algorithms!
- 13. How it works? Configure Train Deploy Choose the relevantAI capabilities needed for your application Give relevant training data in specified formats and if needed interact with the system to teach it Integrate the intelligence by just adding a simple API end point
- 14. Why Arya.ai? Full range of ‘AI’ capabilities Text? Vision? Speech? Bots that remember context across multiple questions? A combination of these services? All available on Arya.ai - your one stop shop for everything AI. Custom ‘AI’ now possible Arya allows you to launch custom machines suitable for your use cases. You can also customize modules and feed your own data and context to your applications. Flexibility and Control Choose systems that adapt to your work loads and latency requirements. Switch on and off at will. Get custom machines that you fully control. Focus on your product With ready to use AI services, you can just focus building a great application, and use Arya to make it more intelligent. Make your applications and systems smarter - Now! 1 2 43
- 15. Use Cases Radiologist (Diabetic Retinopathy) Automated Technical Support (Manufacturing) Customer Tickets Automation Knowledge Base What are the visual checks need to be performed while installing the EZ 189 in turbines? Check with the turbine blade configuration. Usually, EZ 189, goes well with Trade II blades (Turbine II.pdf, 37th page, line 18th) Hi, I want to change the location of my travel. Can you please share the transaction ID? 12749GYNW789JI What is the changed destination? Please change it to New York! Do you want to go with the same airlines? ComputerVision QnA Systems Conversational Systems
- 16. Arya as a Radiologist: 16 RighteyeLefteye Mild Very SevereSevereMild
- 17. Scan Report Stage 1 Stage 2 Stage 1 Arya as a Radiologist: How to build it? 17 Step 2: Upload/Select training dataStep 1: Choose the needed modules Step 3: IntegrateAPI Vision: Radiologist {"images": ["https://s3.amazonaws.co m/800-arya-vision/61- 44301102-jpg"]} Arya as Radiologist in 3 steps
- 18. Arya as a Radiologist: 18
- 19. Arya as Research Companion: 19 Step 2: Upload/Select training dataStep 1: Choose the needed modules Step 3: IntegrateAPI {"images": ["https://s3.amazonaws.co m/800-arya-vision/61- 44301102-jpg"]} Arya as a Professional Companion Context Module Text Classifier Dialogue Creator Graph Reading Concept Relation Reasoning Research Papers, Books,Patents etc Sample Dialogues Text Classifier Training
- 20. Arya as Research Companion Which algorithm you think is ideal for speech recognition? “SVM” or “ANN” Which is a better test for Colon cancer? “Fecal Occult blood test” or “Colonoscopy” or “Sigmoidoscopy” Which metal has higher ablation depth for the same fluence? "Si" or "Ni" SCIENCE TECHNOLOGY MEDICINE 20
- 21. Arya as Research Companion What are the future applications of Artificial Intelligence in human computer interaction? Arya, Can you please predict the research papers importance of Artificial Intelligence? Arya, Can you predict Y value for the the graph for Xn = 60?
- 22. Applications Manufacturing Governance Media Lot more…...Automobile Banking & Finance E-retail
- 23. Pricing 1 to 1000 1001 to 1,000,000 1,000,000 to 5,000,000 5,000,000 to 25,000,000 Text Knowledge Extraction - 1 0.7 0.5 Text Classifier - 2 1.4 0.9 Sentiment Analysis - 1 0.7 0.5 Entity Extraction - 1 0.7 0.5 Semantic Similarity - 1 0.7 0.5 Vision General Classifier - 3 2.1 1.4 E-commerce Classifier - 5 3.5 2.3 Object segmentation (Image & Video) - 3 2.1 1.4 Action Prediction (Videos) - Search - 2 1.4 0.9 Face Matching - 2 1.4 0.9 AI Bots FAQ|a - 2 1.4 0.9 FAQ|b - 5 3.5 2.3 QnA |b - 5 3.5 2.3 QnA |a - 2 1.5 0.9 Dialogue - 2 1.4 0.9 Custom Computing Machines ~ CostAPI’s Cost per thousand per Month ($) Computer Cost / hr ($) C1 0.055 C2 0.95 C3 1.6 G1 0.65 G2 2.7 1. Computing cost is applicable only when custom systems are deployed 2. Add-ons like Frame classifier will carry additional cost All modules are customizable
- 24. Globally recognised by Tech Communities! Forbes Asia: 30 Under 30, Consumer tech, Feb 2016 Speakers at International‘Deep Learning &Virtual Assistants Summit’ in San Francisco, Jan, 2016 Only Asian company selected for ‘International InnovationAwards’ from French InnovationAgency, Dec, 2015 Top 4 Next GenerationTechnology startup among 59 countries by Silicon Valley Forum, Jun,2015
- 25. Arya.ai:This is just the beginning! AI bots Speech ComputerVision FAQ + CRM Bots (b) Generalized version of information bots. Dialogue Systems with multi flows Create dialogue system with multi inputs and define multiple decision flows. Speech to Text Convert speech to text Speech to Action Convert speech inputs into actions Train your own Object Segmentation inVideos Identify multiple classes of objects in videos Human Segmentation & Face identification in Videos Identify human faces in images or videos. Object Search Search forany kind of object with visualinputs Text to Intent Classify text inputs into ‘intents’ Language Translation Convert text inputs fromone language to other Language Text Arya.ai is committed to simplify building AI and play a crucial role in AI adoption. Coming Soon!
- 26. Mission Enable developers to build world class AI systems that can amplify human abilities and decision making powers. [email protected] [email protected] [email protected] To get access to the platform and for large custom deployments,contact: