Monthly Archives: 10월 2017

12 posts

Reliable Flexibility at Speed in Robotics

Chieving Reliable Flexibility at Speed in Robotics Order Fulfillment Neocortex Goods to Robot (G2R) Cells — Universal Logic Supply chains are under intense pressure to move materials at higher speeds to accommodate customer expectations of timely product availability. Automating the handling of diverse SKUs in e-commerce order fulfillment requires human-like flexibility at high speeds. High-speed robots are better than humans at maintaining fast cycle times consistently. On average, humans can handle 600 products per hour (pick and place), if they are under ~10 pounds. Industrial robots can cycle 700 to 1400 per hour with peaks to 27 per minute (1600/hour) with payloads under 20 pounds. Collaborative robots are over 50% slower than industrial robots due to safety requirements. This report examines how the Neocortex Goods to Robot (G2R) Cells, from RBR50 company Universal Logic, provides the speed and capacity of an industrial robot, with the ease of deployment of a collaborative robot. Learn how Universal Neocortex AI […]

2 new CRISPR tools

1.   2 new CRISPR tools overcome the scariest parts of            gene editing The ability to edit RNA and individual DNA base pairs will make gene editing much more precise. Updated by Julia Belluz and Umair Irfan  Oct 25, 2017, 1:00pm EDT CRISPR-Cas9 can still be a blunt instrument for gene editing. Scientists have discovered two new tools that will make editing more precise and potentially, safer. Shutterstock Several years ago, scientists discovered a technique known as CRISPR/Cas9, which allowed them to edit DNA more efficiently than ever before. Since then, CRISPR science has exploded; it’s become one of the most exciting and fast-moving areas of research, transforming everything from medicine to agriculture and energy. In 2017 alone, more than 14,000 CRISPR studies were published. But here’s the thing: CRISPR, while a major leap forward in gene editing, can still be a blunt instrument. There have been problems with CRISPR modifying unintended gene […]

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 […]

Neuro-Science, (Humanoid-Robot, AI.)

Melding Mind and Machine: How Close Are We?   NEUROSCIENCE NEWS  OCTOBER 8, 2017 Summary: Researchers investigate advances in BCI and consider the implications of linking our brains up to technology.    —  Source: The Conversation. Just as ancient Greeks fantasized about soaring flight, today’s imaginations dream of melding minds and machines as a remedy to the pesky problem of human mortality. Can the mind connect directly with artificial intelligence, robots and other minds through brain-computer interface (BCI) technologies to transcend our human limitations? Over the last 50 years, researchers at university labs and companies around the world have made impressive progress toward achieving such a vision. Recently, successful entrepreneurs such as Elon Musk (Neuralink) and Bryan Johnson (Kernel) have announced new startups that seek to enhance human capabilities through brain-computer interfacing. How close are we really to successfully connecting our brains to our technologies? And what might the implications be […]

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.(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  

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 […]