A new wave of Artificial intelligence has emerged which has revolutionized the industry/academia.. Much like the web took advantage of existing technologies, this new wave builds on trends such as the decline in the cost of computing hardware, the emergence of the cloud, the fundamental consumerization of the enterprise and, of course, the mobile revolution.
Deep Learning has achieved remarkable breakthroughs, which have, in turn, driven performance improvements across AI components.
AI and the Professions: Past, Present and FutureWarren E. Agin
A presentation to the National Conference of Lawyers and CPA’s - December 11, 2017. Describes the history of AI, explains why the legal and accounting professions are at a turning point, and predicts changes in the professions from AI adoption.
Analytic Law, LLC helps law firms and departments discover how to solve legal problems using analytic techniques, including data analytics, prediction systems, machine learning, game theory and behavioral economics.
Seminar report on Artificial Intelligence in defence applicationMohammad Athik
This report will help us to understand what is Artificial Intelligence, what are the applications of artificial intelligence in defence applications, And advantages and disadvantages, etc...
AI and the Professions: Past, Present and FutureWarren E. Agin
A presentation to the National Conference of Lawyers and CPA’s - December 11, 2017. Describes the history of AI, explains why the legal and accounting professions are at a turning point, and predicts changes in the professions from AI adoption.
Analytic Law, LLC helps law firms and departments discover how to solve legal problems using analytic techniques, including data analytics, prediction systems, machine learning, game theory and behavioral economics.
Seminar report on Artificial Intelligence in defence applicationMohammad Athik
This report will help us to understand what is Artificial Intelligence, what are the applications of artificial intelligence in defence applications, And advantages and disadvantages, etc...
14 Startups Leading the Artificial Intelligence (AI) RevolutionNVIDIA
Learn how these top 14 startups around the globe are using artificial intelligence (AI) and Deep Learning to impact key industries and humanity-at-large.
Artificial intelligence in practice- part-1GMR Group
Summary is made in 5 parts-
This is Part -1
Cyber-solutions to real-world business problems Artificial Intelligence in Practice is a fascinating look into how companies use AI and machine learning to solve problems. Presenting 50 case studies of actual situations, this book demonstrates practical applications to issues faced by businesses around the globe.
• The rapidly evolving field of artificial intelligence has expanded beyond research labs and computer science departments and made its way into the mainstream business environment.
• Artificial intelligence and machine learning are cited as the most important modern business trends to drive success.
• It is used in areas ranging from banking and finance to social media and marketing.
• This technology continues to provide innovative solutions to businesses of all sizes, sectors and industries.
• This engaging and topical book explores a wide range of cases illustrating how businesses use AI to boost performance, drive efficiency, analyse market preferences and many others.
• This detailed examination provides an overview of each company, describes the specific problem and explains how AI facilitates resolution.
• Each case study provides a comprehensive overview, including some technical details as well as key learning summaries:
o Understand how specific business problems are addressed by innovative machine learning methods Explore how current artificial intelligence applications improve performance and increase efficiency in various situations
o Expand your knowledge of recent AI advancements in technology
o Gain insight on the future of AI and its increasing role in business and industry
o Artificial Intelligence in Practice: How 50 Successful Companies Used Artificial Intelligence to Solve Problems is an insightful and informative exploration of the trans-formative power of technology in 21st century commerce
SkillsFuture Festival at NUS 2019- Machine Learning for HumansNUS-ISS
Presented by Mr Patrice Choong, Director, The Sandbox, Innovation & Entrepreneurship Office, Ngee Ann Polytechnic, at SkillsFuture Festival at NUS 2019
SkillsFuture Festival at NUS 2019- Industrial Deep Learning and Latest AI Al...NUS-ISS
Presented by Dr Xavier Bresson, Associate Professor, School of Computer Science and Engineering, Nanyang Technological University, at SkillsFuture Festival at NUS 2019
Artificial Intelligence Today (22 June 2017)Sabri Sansoy
This was a top level presentation on some of the 30+ subcategories of Artificial Intelligence at the Hackaday LA June Meetup - Wheels, Wings, and Walkers. Sponsored by SupplyFrame Design Labs in Pasadena CA
International Journal of Artificial Intelligence & Applications (IJAIA)gerogepatton
The International Journal of Artificial Intelligence & Applications (IJAIA) is a bi monthly open
access peer-reviewed journal that publishes articles which contribute new results in all areas of
the Artificial Intelligence & Applications (IJAIA). It is an international journal intended for
professionals and researchers in all fields of AI for researchers, programmers, and software and
hardware manufacturers. The journal also aims to publish new attempts in the form of special
issues on emerging areas in Artificial Intelligence and applications.
When computers mimic the capabilities of the human brain, that is artificial
intelligence (AI). From the outside, AI looks like computers that have independent
thoughts. Have no fear, however. The gears of their machine “brains” may be turning,
but, for right now, they’re not really thinking—at least not the way that human beings
think.
A brief history of artificial intelligence for businessJack C Crawford
Since the 1960s, Artificial Intelligence has promised us benefits in business and in our personal lives. This presentation takes us from the early days up to machine learning and applications for enterprise businesses that are delivering personalized experiences to customers ... to a "segment of one."
A primer on Artificial Intelligence (AI) and Machine Learning (ML)Yacine Ghalim
Over the past couple of years, we found ourselves investing in 7 AI and ML enabled companies, in areas as diverse as marketing, credit scoring, recruitment, fertility tracking and so on. It appears that we’ve been among the most active European investors in what most people today still view as a “theme”. Most importantly, more and more of our other portfolio companies are starting to adopt these technologies in order to make their products better.
What follows is a presentation that we gave to our LPs at our most recent investor day in February. We tried to give them a primer on these technologies: what they are ; why we are all talking about them now ; and how we, at Sunstone, are thinking about investing in those companies.
Latest trends in information technologyAtifa Aqueel
This ppt includes the latest trends in information technology such as big data analytics, cloud computing, virtual reality, 5G wireless technology etc.
14 Startups Leading the Artificial Intelligence (AI) RevolutionNVIDIA
Learn how these top 14 startups around the globe are using artificial intelligence (AI) and Deep Learning to impact key industries and humanity-at-large.
Artificial intelligence in practice- part-1GMR Group
Summary is made in 5 parts-
This is Part -1
Cyber-solutions to real-world business problems Artificial Intelligence in Practice is a fascinating look into how companies use AI and machine learning to solve problems. Presenting 50 case studies of actual situations, this book demonstrates practical applications to issues faced by businesses around the globe.
• The rapidly evolving field of artificial intelligence has expanded beyond research labs and computer science departments and made its way into the mainstream business environment.
• Artificial intelligence and machine learning are cited as the most important modern business trends to drive success.
• It is used in areas ranging from banking and finance to social media and marketing.
• This technology continues to provide innovative solutions to businesses of all sizes, sectors and industries.
• This engaging and topical book explores a wide range of cases illustrating how businesses use AI to boost performance, drive efficiency, analyse market preferences and many others.
• This detailed examination provides an overview of each company, describes the specific problem and explains how AI facilitates resolution.
• Each case study provides a comprehensive overview, including some technical details as well as key learning summaries:
o Understand how specific business problems are addressed by innovative machine learning methods Explore how current artificial intelligence applications improve performance and increase efficiency in various situations
o Expand your knowledge of recent AI advancements in technology
o Gain insight on the future of AI and its increasing role in business and industry
o Artificial Intelligence in Practice: How 50 Successful Companies Used Artificial Intelligence to Solve Problems is an insightful and informative exploration of the trans-formative power of technology in 21st century commerce
SkillsFuture Festival at NUS 2019- Machine Learning for HumansNUS-ISS
Presented by Mr Patrice Choong, Director, The Sandbox, Innovation & Entrepreneurship Office, Ngee Ann Polytechnic, at SkillsFuture Festival at NUS 2019
SkillsFuture Festival at NUS 2019- Industrial Deep Learning and Latest AI Al...NUS-ISS
Presented by Dr Xavier Bresson, Associate Professor, School of Computer Science and Engineering, Nanyang Technological University, at SkillsFuture Festival at NUS 2019
Artificial Intelligence Today (22 June 2017)Sabri Sansoy
This was a top level presentation on some of the 30+ subcategories of Artificial Intelligence at the Hackaday LA June Meetup - Wheels, Wings, and Walkers. Sponsored by SupplyFrame Design Labs in Pasadena CA
International Journal of Artificial Intelligence & Applications (IJAIA)gerogepatton
The International Journal of Artificial Intelligence & Applications (IJAIA) is a bi monthly open
access peer-reviewed journal that publishes articles which contribute new results in all areas of
the Artificial Intelligence & Applications (IJAIA). It is an international journal intended for
professionals and researchers in all fields of AI for researchers, programmers, and software and
hardware manufacturers. The journal also aims to publish new attempts in the form of special
issues on emerging areas in Artificial Intelligence and applications.
When computers mimic the capabilities of the human brain, that is artificial
intelligence (AI). From the outside, AI looks like computers that have independent
thoughts. Have no fear, however. The gears of their machine “brains” may be turning,
but, for right now, they’re not really thinking—at least not the way that human beings
think.
A brief history of artificial intelligence for businessJack C Crawford
Since the 1960s, Artificial Intelligence has promised us benefits in business and in our personal lives. This presentation takes us from the early days up to machine learning and applications for enterprise businesses that are delivering personalized experiences to customers ... to a "segment of one."
A primer on Artificial Intelligence (AI) and Machine Learning (ML)Yacine Ghalim
Over the past couple of years, we found ourselves investing in 7 AI and ML enabled companies, in areas as diverse as marketing, credit scoring, recruitment, fertility tracking and so on. It appears that we’ve been among the most active European investors in what most people today still view as a “theme”. Most importantly, more and more of our other portfolio companies are starting to adopt these technologies in order to make their products better.
What follows is a presentation that we gave to our LPs at our most recent investor day in February. We tried to give them a primer on these technologies: what they are ; why we are all talking about them now ; and how we, at Sunstone, are thinking about investing in those companies.
Latest trends in information technologyAtifa Aqueel
This ppt includes the latest trends in information technology such as big data analytics, cloud computing, virtual reality, 5G wireless technology etc.
Beginning to understand the world of data demands the evolution of procedures and skillsets in tune with the rewarding trends. As the excerpts from the Fortune Business Insight article state; the market for data analytics is estimated to expand by 25% between 2021-2030. Data scientists are predicted to leverage the highest possible benefits for industries such as banking, finance, insurance, entertainment, telecommunication, automobile, etc.
Pace up with the fastest-evolving industries of all time. Make informed decisions in the world of Data Science by mastering the emerging trends in diversified realms of data. Bring in the change with the following Data Science trends set in place in time:
1. Blockchain technology
2. Natural Language Processing
3. Internet of Things
4. Auto Machine Learning
5. Immersive experiences
6. Robotic Process Automation
7. TinyML and Small Data
8. AI-powered Virtual Assistants
9. Graph Analytics
10. Cloyd computing
11. Image processing
12. Data Visualization
13. Augmented Analytics
14. Predictive Analytics
15. Scalable Artificial Intelligence
As is evident, there will be more data in the coming years. This is a clear indication of an escalated need for staying upbeat with the proposed data science industry trends for years to follow. Make the most of the opportunity by enrolling with top-ranking data science certifications from globally renowned data credentials providers.
Download your copy & boost your chances at landing your dream Data Science Jobs with USDSI®
Presentation that I delivered at "Accelerate AI, Europe 2018" in London on Sept 19, 2018. My focus is on socio-cultural perspective as well as proving information about various tools, vendors and partners available to help companies get started using AI.
UNCOVERING FAKE NEWS BY MEANS OF SOCIAL NETWORK ANALYSISpijans
The short access to facts on social media networks in addition to its exponential upward push also made it tough to distinguish among faux information or actual facts. The quick dissemination thru manner of sharing has more high quality its falsification exponentially. It is also essential for the credibility of social media networks to avoid the spread of fake facts. So its miles rising research task to robotically check for misstatement of information thru its source, content material, or author and save you the unauthenticated assets from spreading rumours. This paper demonstrates an synthetic intelligence primarily based completely approach for the identification of the fake statements made by way of the use of social network entities. Versions of Deep neural networks are being applied to evalues datasets and have a look at for fake information presence. The implementation setup produced most volume 99% category accuracy, even as dataset is tested for binary (real or fake) labelling with multiple epochs.
UNCOVERING FAKE NEWS BY MEANS OF SOCIAL NETWORK ANALYSISpijans
The short access to facts on social media networks in addition to its exponential upward push also made it
tough to distinguish among faux information or actual facts. The quick dissemination thru manner of sharing has more high quality its falsification exponentially. It is also essential for the credibility of social media networks to avoid the spread of fake facts. So its miles rising research task to robotically check for
misstatement of information thru its source, content material, or author and save you the unauthenticated
assets from spreading rumours. This paper demonstrates an synthetic intelligence primarily based completely approach for the identification of the fake statements made by way of the use of social network
entities. Versions of Deep neural networks are being applied to evalues datasets and have a look at for
fake information presence. The implementation setup produced most volume 99% category accuracy, even
as dataset is tested for binary (real or fake) labelling with multiple epochs.
JyotPrakash Gugnani, Student of sem 2 from department of journalism and mass communication, JIMS Vasant Kunj II talk about Areas of Artificial Intelligence. Have a Look!! For more updates: visit: jimssouthdelhi.com
A quick guide to artificial intelligence working - TechaheadJatin Sapra
It is already on its way to achieving so as it has empowered the mobile app development agencies to build what was once assumed impossible. Despite this, much of this field remains undiscovered.
biggest technology trends
Artificial Intelligence
Data Science
Internet of Things
Nanotechnology
Robotic Process Automation (RPA)
Virtual Reality
Edge Computing
Intelligent apps
More Technology Trends
For the full video of this presentation, please visit:
https://www.embedded-vision.com/platinum-members/embedded-vision-alliance/embedded-vision-training/videos/pages/feb-2017-member-meeting-rowen
For more information about embedded vision, please visit:
http://www.embedded-vision.com
Chris Rowen of Cognite Ventures delivers the presentation "The Vision AI Start-ups That Matter Most" at the February 2017 Embedded Vision Alliance Member Meeting. Rowen shares his unique perspective on the vision AI start-ups that matter most.
For the full video of this presentation, please visit:
http://www.embedded-vision.com/platinum-members/embedded-vision-alliance/embedded-vision-training/videos/pages/dec-2016-member-meeting-khronos
For more information about embedded vision, please visit:
http://www.embedded-vision.com
Mark Bünger, Vice President of Research at Lux Research, delivers the presentation "Imaging + AI: Opportunities Inside the Car and Beyond" at the December 2016 Embedded Vision Alliance Member Meeting. Bünger presents his firm’s perspective on how embedded vision will upend the automotive industry.
This presentation covers a talk on the topic of "AI on the edge". The talk was delivered in the Conference on Artificial Intelligence and Robotics Technology held on Jan 28, 2021 by National Center of Artificial Intelligence Pakistan & working group by Ministry of Science and Technology on AI & Robotics.
Object Detection using Deep Neural NetworksUsman Qayyum
Recent Talk at PI school covering following contents
Object Detection
Recent Architecture of Deep NN for Object Detection
Object Detection on Embedded Computers (or for edge computing)
SqueezeNet for embedded computing
TinySSD (object detection for edge computing)
Deep Reinforcement Learning Talk at PI School. Covering following contents as:
1- Deep Reinforcement Learning
2- QLearning
3- Deep QLearning (DQN)
4- Google Deepmind Paper (DQN for ATARI)
Thermal colorization using Deep Neural NetworkUsman Qayyum
Visual and thermal cameras have large modality gap while providing different information of the same scene. The spectral mapping of thermal imagery into color imagery is a challenging task due to inherit nonlinear relationship. This paper deals with the automatic colorization of thermal imagery into color images using deep encoder-decoder convolutional neural network architecture. The presented approach is trained and evaluated on an online thermal/color dataset, where the network is trained on the spectral mapping of thermal to color images
My recent talk on deep learning. The presentation provides an overview of following areas:
1- Introduction to deep learning
2- Neural Network Architectures
3- Convolution Neural Network
4- Interesting research in Deep Learning
The Roman Empire A Historical Colossus.pdfkaushalkr1407
The Roman Empire, a vast and enduring power, stands as one of history's most remarkable civilizations, leaving an indelible imprint on the world. It emerged from the Roman Republic, transitioning into an imperial powerhouse under the leadership of Augustus Caesar in 27 BCE. This transformation marked the beginning of an era defined by unprecedented territorial expansion, architectural marvels, and profound cultural influence.
The empire's roots lie in the city of Rome, founded, according to legend, by Romulus in 753 BCE. Over centuries, Rome evolved from a small settlement to a formidable republic, characterized by a complex political system with elected officials and checks on power. However, internal strife, class conflicts, and military ambitions paved the way for the end of the Republic. Julius Caesar’s dictatorship and subsequent assassination in 44 BCE created a power vacuum, leading to a civil war. Octavian, later Augustus, emerged victorious, heralding the Roman Empire’s birth.
Under Augustus, the empire experienced the Pax Romana, a 200-year period of relative peace and stability. Augustus reformed the military, established efficient administrative systems, and initiated grand construction projects. The empire's borders expanded, encompassing territories from Britain to Egypt and from Spain to the Euphrates. Roman legions, renowned for their discipline and engineering prowess, secured and maintained these vast territories, building roads, fortifications, and cities that facilitated control and integration.
The Roman Empire’s society was hierarchical, with a rigid class system. At the top were the patricians, wealthy elites who held significant political power. Below them were the plebeians, free citizens with limited political influence, and the vast numbers of slaves who formed the backbone of the economy. The family unit was central, governed by the paterfamilias, the male head who held absolute authority.
Culturally, the Romans were eclectic, absorbing and adapting elements from the civilizations they encountered, particularly the Greeks. Roman art, literature, and philosophy reflected this synthesis, creating a rich cultural tapestry. Latin, the Roman language, became the lingua franca of the Western world, influencing numerous modern languages.
Roman architecture and engineering achievements were monumental. They perfected the arch, vault, and dome, constructing enduring structures like the Colosseum, Pantheon, and aqueducts. These engineering marvels not only showcased Roman ingenuity but also served practical purposes, from public entertainment to water supply.
Instructions for Submissions thorugh G- Classroom.pptxJheel Barad
This presentation provides a briefing on how to upload submissions and documents in Google Classroom. It was prepared as part of an orientation for new Sainik School in-service teacher trainees. As a training officer, my goal is to ensure that you are comfortable and proficient with this essential tool for managing assignments and fostering student engagement.
Operation “Blue Star” is the only event in the history of Independent India where the state went into war with its own people. Even after about 40 years it is not clear if it was culmination of states anger over people of the region, a political game of power or start of dictatorial chapter in the democratic setup.
The people of Punjab felt alienated from main stream due to denial of their just demands during a long democratic struggle since independence. As it happen all over the word, it led to militant struggle with great loss of lives of military, police and civilian personnel. Killing of Indira Gandhi and massacre of innocent Sikhs in Delhi and other India cities was also associated with this movement.
The Indian economy is classified into different sectors to simplify the analysis and understanding of economic activities. For Class 10, it's essential to grasp the sectors of the Indian economy, understand their characteristics, and recognize their importance. This guide will provide detailed notes on the Sectors of the Indian Economy Class 10, using specific long-tail keywords to enhance comprehension.
For more information, visit-www.vavaclasses.com
Unit 8 - Information and Communication Technology (Paper I).pdfThiyagu K
This slides describes the basic concepts of ICT, basics of Email, Emerging Technology and Digital Initiatives in Education. This presentations aligns with the UGC Paper I syllabus.
We all have good and bad thoughts from time to time and situation to situation. We are bombarded daily with spiraling thoughts(both negative and positive) creating all-consuming feel , making us difficult to manage with associated suffering. Good thoughts are like our Mob Signal (Positive thought) amidst noise(negative thought) in the atmosphere. Negative thoughts like noise outweigh positive thoughts. These thoughts often create unwanted confusion, trouble, stress and frustration in our mind as well as chaos in our physical world. Negative thoughts are also known as “distorted thinking”.
How to Create Map Views in the Odoo 17 ERPCeline George
The map views are useful for providing a geographical representation of data. They allow users to visualize and analyze the data in a more intuitive manner.
This is a presentation by Dada Robert in a Your Skill Boost masterclass organised by the Excellence Foundation for South Sudan (EFSS) on Saturday, the 25th and Sunday, the 26th of May 2024.
He discussed the concept of quality improvement, emphasizing its applicability to various aspects of life, including personal, project, and program improvements. He defined quality as doing the right thing at the right time in the right way to achieve the best possible results and discussed the concept of the "gap" between what we know and what we do, and how this gap represents the areas we need to improve. He explained the scientific approach to quality improvement, which involves systematic performance analysis, testing and learning, and implementing change ideas. He also highlighted the importance of client focus and a team approach to quality improvement.
Model Attribute Check Company Auto PropertyCeline George
In Odoo, the multi-company feature allows you to manage multiple companies within a single Odoo database instance. Each company can have its own configurations while still sharing common resources such as products, customers, and suppliers.
2. Artificial Intelligence (AI)
Ø “AI the new electricity “
Andrew Ng, formerly Baidu’s Chief Scientist.
Ø Artificial Intelligence: the ability of machines to perform tasks that require human intelligence
Ø visual perception, speech recognition, decision-making, translation)
Ø “AI could contribute up to $15.7 trillion to the global economy in 2030. Healthcare, automotive and
financial services are the sectors with the greatest potential for product enhancement and disruption due
to AI.”
What’s the real value of AI for your business and how can you capitalize? PwC report,June 2017
3. Deep Learning
Ø Machine Learning: a subset of AI techniques which use statistical methods to
automate the ability of a system to iteratively learn from data and extract insights
without being explicitly programmed through algorithms
Ø Deep Learning: a branch of Machine Learning that data scientists use to build
models based on artificial neural networks
Ø “imitates the workings of the human brain in processing data and creating
patterns for use in decision making.
Ø DL is a modern name for an old technology—artificial neural networks.
Ø Vast majority of AI breakthroughs in
recent years are thanks to DL, perhaps far
more disruptive than the internet.
4. Deep Learning is Everywhere
Ø Deep learning is everywhere.
Ø It’s on Amazon and Netflix making personalized recommendations.
Ø It’s on your Smartphone helping your voice-activated assistant understand you.
Ø It’s helping websites and mobile applications transform content into precisely
targeted advertising.
5. Deep Learning Success
Source: Intel
• 2009 Speech Recognition: Cortana, Skype, Google Now, Siri, Baidu, etc.
• 2012 Image Recognition ImageNet
• 2012 Drug Discovery Merck Challenge
• 2013 Natural Language Sentiment
• 2014 Image Captioning
• 2014 Natural Language Translation
• 2015 Atari Video Games DeepMind
7. Data Vs Performance
Ø According to an IBM study, approximately 2.5 quintillion bytes of data are created every day
and the IDC is estimating that by 2020, approximately 40 zettabytes (ZB) of data will be
generated every day.
Ø Why DL vs Older Learning Algorithms
8. Companies Investment in DL
Ø 2013 Facebook – AI lab, DeepFace
Ø 2013 Ebay – AI lab
Ø 2014 IBM - $1 billion in Watson
Ø 2014 Google - DeepMind $500 million
Ø 2014 Vicarious - $70 million
Ø 2014 Microsoft – Project Adam, Cortana
Ø 2015 Toyota – $1 billion AI and Robotics Lab
10. AI Momentum
Ø ARK believes that deep learning is one of the most important software breakthroughs of our time
Ø $17 trillion in market capitalization creation from deep learning companies by 2036.
11. What is Deep Learning
Ø DL requires less domain Expertise
Ø Easy to Replicate
12. How Deep Learning Works
Ø The term “Deep Learning” was coined in reference to the hidden neuron
layers structuring the way the algorithm works
Ø allowing increased abstraction and problem solving capabilities
along the number of layers
Learning algorithms are able to learn from and make predictions on data
without being explicitly programmed
13. Types of Deep Neural Network
Ø Types of Deep Neural Network (DNN)
Ø Feed-forward
Ø (Convolutional) neural
networks
Ø Deconvolutional networks
Ø Bi-directional
Ø Deep Boltzmann Machines
Ø Stacked autoencoders
Ø Sequence based
Ø RNNs, LSTMs
14. Benefits of DL
Ø Robustness
Ø No need to design the features ahead of time as
features are automatically learned to be optimal
Ø Generalization
Ø The same neural net approach can be used for many
different applications and data types
Ø Scalability
Ø Performance improves with more data, method is
massively parallelizable
16. Recurrent Neural Network
Ø Next data depend on previous data
Ø The limitations of the Neural network (CNNs)
Ø Rely on the assumption of independence among the
(training and test) examples.
Ø After each data point is processed, the entire state of
the network is lost
LSTM: Long short term Memory RNN
Convnet: Convolutional Neural Network
18. Voice Search/Voice-Activated Assistants
Ø One of the most well known and popular uses of
deep learning APIs is to power voice-activated
intelligent assistants
Ø Major players in the smartphone OS market,
Apple, Google, and Microsoft.
Ø Apple’s Siri for Mac/Iphone
Ø Google Now for Android,
Ø Microsoft Cortana for Windows Desktop/
Phone
Ø Microsoft introduced natural-language voice
search on the Xbox One console
19. Recommendation Engines
Ø A very popular and common feature of web and mobile
applications.
Ø According to Xavier a research manager at Netflix,
Ø 2/3 of the movies users watch on Netflix are recommended
Ø Google News recommendations generate 38% more
clickthroughs
Ø 35% of Amazon’s sales are generated from recommendations.
Ø Traditional approaches were
Ø Collaborative filtering
Ø Content-based filtering
Ø Recommendation systems have become far more intelligent with
companies using deep learning to predict user preferences and
provide accurate recommendations.
Ø Spotify uses deep learning approach to music recommendations
called “deep content-based music recommendation”
20. Image Recognition
Ø The goal of image recognition technologies is to recognize and identify objects in images
as well as understand the content and context.
Ø Google and AlchemyAPI (IBM Watson) have been developing image recognition
technologies for quite some time.
Ø Google uses image tagging technology to allow Google+ users to search their
photos by content
Ø Facebook is using image tagging to improve the photo sharing experiences of
users.
Ø New startup Enlitic is using deep learning to process X-rays, MRIs, and other medical
images to help doctors diagnose
21. HealthCare
Ø Deep learning is making rapid advances and profound impact on
healthcare.
Ø Deep neural networks are changing the way doctors diagnose illnesses
Ø Making diagnostics faster
Ø Cheaper
Ø More accurate than ever before.
Ø ARK estimates that the total global addressable market for computer aided
diagnostics software could be worth $16 billion.
Health Insurance
22. Self-Driving Cars
Ø One of the transformative applications of
deep learning is self-driving cars.
Ø Navigating a vehicle through streets,
weather conditions, and unpredictable
traffic
Ø Fully deployed, self-driving technology will
reduce the cost of transport and bring to life
Mobility-as-a-Service (MaaS).
25. DL for IoT
Internet of Things: $15 Trillion to 2025
100 Billion devices by 2025
Cars, Appliances, Cameras, Meters, Wearables, etc.
26. DL for BlockChain
Deep Learning technology, particularly coupled with
blockchain systems, can create a new kind of global
computing platform
Intelligence “baked in” to smart networks
27. DL as Cloud Service
Inject AI into business
Ø Google Cloud Machine Learning
Ø Powerful video analysis
Ø Audio/text analysis
Ø Fast/Dynamic Translation
Ø Salesforce Einstein
Ø Einstein mobile service
Ø Einstein Case management
Ø Einstein supervisor Analyst
28. DL as Cloud Service
Ø IBM Watson
Ø Speech Recognition
Ø Image/Text analyst
Ø Natural language
translation
Ø AlchemyAPI
Ø Text to Speech
Ø Intel Narvana
Ø Speech Recognition
Ø Healthcare
Ø Image/text analyst
Ø Finance & marketing
