Categoty :  Data-Science

19 posts

Healthcare cybersecurity.

Digital Health’s cybersecurity imperative   This article was written by Dave Anderson and originally was published on BlackRidge Technology blog   If you haven’t already heard, the age of digital health is upon us. And for healthcare providers, patients and consumers, it’s about time Digital health, sometimes referred to as eHealth or Mobile Health, comprises many elements, but for this inquiry I’ll focus on defining digital health as how healthcare companies, hospitals and care services companies, and patients are adopting and using wireless devices, hardware sensors, software sensing technologies, the Internet, social networking, health info tech, personal health devices or wearables, and mobile connectivity to empower more efficient tracking, management, and delivery of “healthcare.” Already, digital health has shown the ability to improve our own and our family’s health and live more productive lives. Digital health reduces many of the inefficiencies in healthcare delivery, it improves access to healthcare information and services, […]

Tech companies should stop pretending AI won’t destroy jobs

 No matter what anyone tells you, we’re not ready for the massive societal upheavals on the way. February 21, 2018,     by  Kai-Fu Lee  It will soon be obvious that half our tasks can be done better at almost no cost by AI. This will be the fastest transition humankind has experienced, and we’re not ready for it. I took an Uber to an artificial-­intelligence conference at MIT one recent morning, and the driver asked me how long it would take for autonomous vehicles to take away his job. I told him it would happen in about 15 to 20 years. He breathed a sigh of relief. “Well, I’ll be retired by then,” he said. Good thing we weren’t in China. If a driver there had asked, I would have had to tell him he’d lose his job in about 10 years—maybe 15 if he was lucky. That might sound surprising, given […]

Fourth Industrial Revolution

The world is changing. Here’s how companies must adapt this article is the part of The World Economic Forum Annual Meeting,   /  written by Joe Kaeser The Fourth Industrial Revolution will eliminate millions of jobs and create millions of new ones. Image:     / REUTERS   Although we have only seen the beginning, one thing is already clear: the Fourth Industrial Revolution is the greatest transformation human civilization has ever known. As far-reaching as the previous industrial revolutions were, they never set free such enormous transformative power. The Fourth Industrial Revolution is transforming practically every human activity: the way we make things; the way we use the resources of our planet; the way we communicate and interact with each other as humans; the way we learn; the way we work; the way we govern; and the way we do business. Its scope, speed and reach are unprecedented. Think of it: Just 10 […]


This Google AI created a ‘child’ AI to help it solve problems In brief Google’s AutoML project, designed to make AI build other AIs, has now developed a computer vision system that vastly outperforms state-of-the-art-models. The project could improve how autonomous vehicles and next-generation AI robots “see.” An AI That Can Build AI In May 2017, researchers at Google Brain announced the creation of AutoML, an artificial intelligence (AI) that’s capable of generating its own AIs. More recently, they decided to present AutoML with its biggest challenge to date, and the AI that can build AI created a “child” that outperformed all of its human-made counterparts. The Google researchers automated the design of machine learning modelsusing an approach called reinforcement learning. AutoML acts as a controller neural network that develops a child AI network for a specific task. For this particular child AI, which the researchers called NASNet, the task was recognizing objects — people, cars, traffic […]

Inuitive NU4000 – Soft-bank

소프트 뱅크-이뉴이티브(Inuitive), 인공지능(AI) · IoT 분야에서 협력 이뉴이티브의 딥러닝을 위한 컨볼루션 신경 네트워크 엔진은 물체 감지, 분류 및 지역화, 장면 인식 등을 가능하게 소프트 뱅크와 이스라엘 센서·이미지 프로세서 개발사 이뉴이티브(Inuitive CEO 슐로모 가돗)는 인공지능(AI) 및 IoT 분야에서의 협력하기로 합의했다고 4일 밝혔다. 이뉴이티브는 3D 심도 센서와 컴퓨터 비전, 이미지 프로세서 등 인공지능(AI) 기술을 활용한 SoC(System on a Chip) 제품의 설계 및 개발 스타트업으로 지난 7월에는 국내 SK텔레콤과 3차원 실감형 증강현실(AR)·가상현실(VR) 솔루션 개발을 위한 양해각서를 체결하기도 했다. 특히 이뉴이티브의 NU4000은 증강현실(AR) 및 가상현실(VR), 드론, 로봇 및 기타 여러 어플리케이션을 위한 3D 이미지, 딥러닝 및 컴퓨터 비전(Computer Vision) 프로세싱을 지원하는 우수한 멀티 코어 비전 프로세서이다. 또한 딥러닝을 위한 컨볼루션 신경 네트워크 엔진(Convolutional Neural Network Engine)은 물체 감지, 분류 및 지역화, 장면 인식 등을 가능하게 한다. 한편 이번 소프트 뱅크와 이뉴이티브는 이뉴이티브의 3D 심도 센서의 애플리케이션 개발과 이뉴이티브가 새로 개발하는 센서 칩의 성능 검증, 이뉴이티브의 인공지능 칩과 소프트 뱅크의 IoT 플랫폼 및 솔루션과의 연계 […]

AI 와 음성인식의 전망

‘생활이 달라진다’ AI와 음성인식이 가져온 뉴노멀 시대 가정에서 사람의 음성 명령으로 온도와 습도를 조절하고, 세탁기와 건조기가 돌아가며, 전등이 켜지고, 피자를 주문하는 시대에는 소비자와 브랜드 간의 상호작용 방식이 어떻게 달라질까 SAS 인스티튜트의 신기술 디렉터인 타마라 둘은 집에 혼자 있을 때도 외롭거나 일손이 부족하지 않다. 그녀의 집에는 100여 대의 홈 AI 기기와 컨트롤러가 곳곳에 설치되어 가정 환경을 모니터링하고, 식료품을 사는 일까지 도와주기 때문이다. 둘은 자신이 생활 속에서 직접 AI 기술을 사용하며 인공지능이 우리 생활에 미칠 영향을 느껴 보려 했다. 그녀는 “내가 (아마존의) 알렉사를 사용하게 된 것은 단지 있어 보이려는 이유가 아니라, AI가 차세대 UX라고 생각했기 때문이다. 나는 집에서 음성 명령으로 기기를 컨트롤한다. 현재까지는 아주 재미있는 실험이었다. 과연 AI가 어디까지 우리 생활에 도움을 줄 수 있을지 흥미롭게 지켜보고 있다”고 이야기했다. 그렇지만 이러한 실험을 통해 치러야 할 비용도 있었다. 둘은 “우선, 기기에 점차 의존하고 있는 나 자신을 발견했다. 외출했을 때 알렉사가 없으면 예전처럼 다시 모든 걸 내가 해야 하는데, 그것이 불편하다고 느꼈다. 집에 있을 […]

Why All Companies Need An AI Strategy

This Is Why All Companies Need An AI Strategy Today Rita Waite (@ritacwaite) is a Growth Strategy & Investments Manager at Juniper Networks, where she focuses on emerging networking technologies. She is Juniper’s representative and observer to the Board of Directors of several portfolio companies. Rita is also a VP of West-to-West, an organization that promotes and supports Portuguese entrepreneurship in Silicon Valley. Rita graduated from the University of San Diego with a B.A. in Economics. The following is a guest post by Rita C. Waite, a Growth Strategy & Investments Manager at Juniper Networks. Any AI effort will rely on three main building blocks: data, infrastructure, and talent. Artificial Intelligence (AI) is fundamentally changing how businesses operate across all sectors, including manufacturing, healthcare, IT, and transportation. Advancements in AI over the last decade are presenting opportunities for companies to automate business processes, transform customer experiences, and differentiate products offerings. AI pioneers like Google and Amazon, who […]

Smart Farming IoT, 5G to Revolutionize Agriculture

 Smart  Farming  IoT and 5G  to Revolutionize Agriculture 5G networks will provide farmers and the agricultural industry at large with the infrastructure to leverage advanced Smart Farming IoT technologies for tracking, monitoring, automating and analyzing their agricultural and industrial operations. Today, there are an estimated 6.4 billion devices connected to the internet, however, according to Gartner, by the year 2020, there will be 20.8 billion internet connected devices. It is also estimated that, in the same year, 12,000,000,000,000 GB of data will be transferred between connected devices. In order to improve upon previous iterations such as 4G LTE, fifth generation (5G) wireless connection developers will need to bring into play various emerging technologies such as multiple input, multiple output (MIMO). MIMO is a wireless connection technology that uses multiple transmitters and receivers at the source and endpoint to allow more data to be sent and received simultaneously and could help carry the burden of a continued increase in the […]

AI : Difference Between ML and DL.

Difference Between Machine Learning And Deep Learning Deep learning and machine learning both offer ways to train models and classify data. This article compares the two and it offers ways to help you decide which one to use. Let’s start by discussing the classic example of cats versus dogs. Now, in this picture do you see a cat or a dog? How are you able to answer? That chances are you’ve seen many cats and dogs over time and so you’ve learned how to identify them. This is essentially what we’re trying to get a computer to do. Learn from and recognize examples Also keep in mind that sometimes even humans can get identification wrong. So we might expect a computer to make similar errors. To have a computer do classification using a standard machine learning approach, we’d manually select the relevant features of an image such as edges or […]

Deep Learning in Medical

Deep Learning In Medical Imaging Diagnosis Machines capable of analysing and interpreting medical scans with super-human performance are within reach. Deep learning, in particular, has emerged as a promising tool in our work on automatically detecting brain damage. But getting from the lab into clinical practice comes with great challenges. How do we know when the machine gets it wrong? Can we predict failure, and can we make the machine robust to changes in the clinical data? We will discuss some of our most recent work that aims to address these critical issues and demonstrate our latest results on deep learning for analysing medical scans. Ben Glocker is a Lecturer in Medical Image Computing at the Department of Computing, Imperial College London. He holds a PhD from TU Munich, and was a post-doc at Microsoft Research Cambridge and a research fellow at the University of Cambridge. He received several awards […]

Deep Learning on Healthcare

Teaching Machines How To Spot Diseases Dr.Suchi Saria, holding a joint appointment in health system informatics at the Johns Hopkins University School of Medicine, and Assistant Professor of Computer Science, Johns Hopkins University, presents “The Impact of Artificial Intelligence on Healthcare”.   In less than a decade, the field of “artificial intelligence” or “AI” has been jolted by the extraordinary and unexpected success of a set of techniques now called “Deep Learning”. These methods (with some other related rapidly advancing technologies) already exceed average human performance in some kinds of image understanding; spoken word recognition and language translation; and indeed some tasks, like the game of Go, previously thought to require generalized human intelligence. Artificial Intelligence may soon replace humans in driving cars, coding new software, robotic caregiving, and making healthcare decisions. The societal implications are enormous. TARGETED REAL-TIME EARLY WARNING SYSTEM Dr. Suchi Saria is an assistant professor of […]

Natural Language Processing

Oxford Course On Deep Learning For Natural Language Processing Deep Learning methods achieve state-of-the-art results on a suite of natural language processing problems.What makes this exciting is that single models are trained end-to-end, replacing a suite of specialized statistical models. The University of Oxford in the UK teaches a course on Deep Learning for Natural Language Processing and much of the materials for this course are available online for free.( This is an advanced course on natural language processing. Automatically processing natural language inputs and producing language outputs is a key component of Artificial General Intelligence. The ambiguities and noise inherent in human communication render traditional symbolic AI techniques ineffective for representing and analysing language data. Recently statistical techniques based on neural networks have achieved a number of remarkable successes in natural language processing leading to a great deal of commercial and academic interest in the field This is an […]

Strong AI Vs. Weak AI

Artificial Intelligence (AI) is the field of computer science dedicated to developing machines that will be able to mimic and perform the same tasks just as a human would. AI researchers spend time on finding a feasible alternative to the human mind. The rapid development of computers after its arrival 50 years ago has helped the researchers take great steps towards this goal of mimicking a human. Modern day applications like speech recognition, robots playing chess, table tennis and playing music have been making the dream of these researchers true. But according to AI philosophy, AI is considered to be divided in to two major types, namely Weak AI and Strong AI. Weak AI is the thinking focused towards the development of technology capable of carrying out pre-planned moves based on some rules and applying these to achieve a certain goal. As opposed to that, Strong AI is developing technology […]

Obstacles To Progress In Artificial Intelligence

Obstacles To Progress In Artificial Intelligence:    Yann LeCun The essence of intelligence is the ability to predict. Prediction, perception, planning/reasoning, attention, and memory are the pillars of intelligence. Both animals and humans learn to predict, learn how the world works, and acquire common sense largely without supervision, through observation and experimentation. This is a far cry from supervised learning—the basis of most recent successes in the application of deep learning. Significant progress in AI will require breakthroughs in unsupervised/predictive learning, as well as in reasoning, attention, and episodic memory. Yann LeCun describes several projects at FAIR and NYU on unsupervised learning for predicting videos using adversarial training, question answering with a new type of memory-augmented network, and various applications for vision and natural language understanding  

Most Doctors Don’t Believe Artificial Intelligence Can Replace Human Doctors

In today’s world, we are heavily dependent on artificial intelligence in our day-to-day living. Featuring, “Watson correctly diagnoses women after doctors were stumped”, Curofy ran a poll within its community to find out if doctors in medicine could be replaced by artificial intelligence majorly if not completely. Although, not a very thin line, the difference in opinions was not more than 15 percent whereby out of 5725 poll participants 43 percent doctors opined that AI will indeed replace human doctors and 57 percent doctors disagreed with that notion  “From the most basic street and traffic signals to robots performing surgeries – artificial intelligence has penetrated almost every aspect of our daily lives. But, AI technology is not designed to replace doctors but to amplify their proficiency, intuition and the knowledge, ” said Pawan Gupta, co-founder of Curofy. “Artifical Intelligence/Automation has made things extremely easy compared to prior times,” he added […]

What the Fourth Industrial Revolution means for India

India Economic Summit The Fourth Industrial Revolution is well underway in India – many people just haven’t realized it yet. Entrepreneurs, CEOs, company founders and start-ups are rapidly adopting technologies involving AI, the Internet of Things (IoT), 3D-printing, advanced robotics and neuroscience. Quietly and with firm resolve, visionary leadership in Indian industry is bringing the country into the arc of progress sweeping the world. From water pumps, railway coaches and chai shops; to burger chains, telecom towers and warehouses, the technology of the Fourth Industrial Revolution is taking root in different businesses, from global corporations to domestic firms and start-ups. The text below is excerpted with permission from Kranti Nation: India and The Fourth Industrial Revolution, by Pranjal Sharma. Published by Pan Macmillan India. In Sanskrit, the word for revolution is kranti. It has been associated mainly with India’s fight against British occupation, but the word defines revolution at a […]

AI Market Analysis

Artificial Intelligence Market Analysis By Solution (Hardware, Software, Services), By Technology (Deep Learning, Machine Learning, Natural Language Processing, Machine Vision), By End-use, By Region, and Segment Forecasts, 2014 – 2025         by Grand View Reseach : Published, July 2017  |  Report ID:                                                                      GVR-1-68038-955-5 Industry Insights The global artificial intelligence market size was valued at USD 641.9 million in 2016 on the basis of its direct revenue sources and at USD 5,970.0 million in 2016 on the basis on enabled revenue and AI based gross value addition (GVA) prognoses. The market is projected to reach USD 35,870.0 million by 2025 by its direct revenue sources, growing at a CAGR of 57.2% from 2017 to […]


           1.   VR ( Virtual Reality )  :                                                                         2.   AR ( Augmented Reality )  :                

Data Science

Data- science  :                      1.    Artificial  Inteligent (AI)    :           1).                          2).          3).           4).                                                                            2.  Virtual  Reality (VR)  :                        3.  Augmented   Reality (AR)   :                          4.  Internet of  Things (IoT)     :                       5.   4Th   Industry  Revollution (4th IR)   […]