This document contains summaries and links related to various applications of artificial intelligence including generating structured queries from natural language using reinforcement learning, using AI in healthcare to direct clinical information to the right clinicians, generating fine-grained text to image translations with attentional GANs, detecting pneumonia from chest X-rays using a dense convolutional neural network, using AI for cross-modal fashion attribute search, counting cars in parking lots using object detection models, and analyzing videos of human actions using 3D convolutional neural networks. The document also lists potential applications of AI such as generating trendy names, designs, recipes, and more.

2. AI driven Innovation
by SK Reddy
Chief Product Officer AI & ML
linkedin.com/in/sk-reddy/
Digitalist (www.digitalist.global)

3. Which of the following are real?
Ref: PROGRESSIVE GROWING OF GANS FOR IMPROVED QUALITY, STABILITY, AND VARIATION; http://research.nvidia.com/sites/default/files/publications/karras2017gan-paper-v2.pdf
1 2 3
4 5 6

4. DNNs for translating
Natural language questions to SQL queries
Ref: Seq2SQL: Generating Structured Queries from Natural Language using Reinforcement Learning; https://einstein.ai/static/images/layouts/research/seq2sql/seq2sql.pdf
For a demo, check here: https://flipboard.com/@flipboard/-salesforce-is-using-ai-to-democratize-s/f-8053569fec%2Ftechcrunch.com

5. https://deepmind.com/applied/deepmind-health/working-nhs/how-were-helping-today/
DeepMind’s Streams
Right information to Right clinician at Right time

6. 100-dimensional representation for emojis
https://engineering.instagram.com/emojineering-part-1-machine-learning-for-emoji-trendsmachine-learning-for-emoji-trends-7f5f9cb979ad

7. INTERPRETABLE COUNTING
FOR VISUAL QUESTION ANSWERING
https://arxiv.org/pdf/1712.08697.pdf

8. https://arxiv.org/pdf/1711.10485.pdf
AttnGAN: Fine-Grained
Text to Image Generation with Attentional GANs

9. Ref: CheXNet: Radiologist-Level Pneumonia Detection on Chest X-Rays with Deep Learning; https://arxiv.org/pdf/1711.05225.pdf
ChexNet (121-layer dense CNN, a DenseNet)

10. AI in fashion industry
Ref: Cross-modal Search for Fashion Attributes; https://kddfashion2017.mybluemix.net/final_submissions/ML4Fashion_paper_7.pdf

11. A bot that draws what you tell it to
https://arxiv.org/pdf/1711.10485.pdf

12. https://arxiv.org/pdf/1506.02640v5.pdf
Count cars in a parking lot
https://medium.com/the-downlinq/car-localization-and-counting-with-overhead-imagery-an-interactive-exploration-9d5a029a596b
YOLO2

13. Radio based approach for traffic flow detection
https://arxiv.org/pdf/1801.03317.pdf
Example ray tracing scenario illustrating the shadowing
effects caused by a SUV passing the proposed classification
system

14. https://arxiv.org/pdf/1704.08063.pdf
Comparison of open-set and closed-set face recognition
SphereFace: Deep Hypersphere Embedding for Face Recognition

15. https://arxiv.org/pdf/1704.00389.pdf
Analyzing videos of
human actions
TOP: MOTIONNET. BOTTOM: TRADITIONAL TEMPORAL STREAM. M IS THE NUMBER OF
ACTION CATEGORIES. STR: STRIDE. CH I/O: NUMBER OF CHANNELS OF INPUT/OUTPUT
FEATURES. IN/OUT RES: INPUT/OUTPUT RESOLUTION

16. http://aiweirdness.com/archive
AI can help you with
Trendy beer names
New paint colors and paint names
Design Halloween costumes
New Disney songs
Harry Potter spells
Pub names
Diseases you wont get
Kitchen recipes
Star War characters
Star War plane names
Broadway musicals
Music band names
Fortune cookies
Cocktails
Superheros

18. Thank you
SK Reddy
www.linkedin.com/in/sk-reddy/