Tag ; AI

11 posts

Atrtificial Intelligent(AI),Machine Learning(ML), Deep Learning(DL), Dancer-Flower,

Future job for AI

Massage Robots  : Massage Robotics aims to shake up the massage industry with this prototype #robotic massage therapist via @CNET#CES2019⁠ ⁠#Tech #Robot #AI #FutureOfWork #Talent #HRTech #5G #WEF19 #AR #IoT @MikeQuindazzi @HealthcareLdr @jblefevre60 @Paula_Piccard pic.twitter.com/GFgz0IZZd1 — Harold Sinnott 🌐 (@HaroldSinnott) 2019년 1월 28일   #RT @MikeQuindazzi: RT @chboursin: 10 leading countries for #Robots and #Automation around the world >>> @wef via @MikeQuindazzi >>> #AI #IoT #Robotics #4IR #Industry40 #IIoT cc @FrRonconi @alvinfoo @ImMBM @kashthefuturist @andi_staub @jerome_joffre @Jon… pic.twitter.com/evhDYbsBH6 — Adam Gabriel, #TOP🔝 #Influencer📡 (@THEAdamGabriel) 2019년 3월 10일  

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 […]

Humanoid robot

   1.  Will Artificial Intelligence eliminate Humans life?      By Electronics Media – November 25, 2017 This is a topic which is being discussed for a long time. Many scientists have raised several questions about it and everyone has different views on this. On this topic, 75-year-old famous scientist Stephen Hawking said that we are moving towards destruction with increasing AI Technology. According to Mr. Hawking, the way we are becoming dependent on artificial intelligence; the day is no longer when Artificial Intelligence will replace human beings. We should think about this topic because we are standing in the phase of technology where it is impossible to return back. Global population is increasing, which is a threat bell for us. According to Hawking, we are in danger of self-destruction for which we have to think and not only think we have to act. Prior to this, SpaceX CEO Elon […]

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 […]

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 […]

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.(https://machinelearningmastery.com) 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  

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 […]