If you are looking for an answer to the question What is Artificial Intelligence? and you only have a minute, then here's the definition the Association for the Advancement of Artificial Intelligence offers on its home page: "the scientific understanding of the mechanisms underlying thought and intelligent behavior and their embodiment in machines."
However, if you are fortunate enough to have more than a minute, then please get ready to embark upon an exciting journey exploring AI (but beware, it could last a lifetime) …
SURE, COMPUTER ALGORITHMS ARE TAKING over tech and science and medicine … but the creatives are still safe, right? A new program from software developer Autodesk called Dreamcatcher (rendering above) can use A.I. techniques to assist human designers as they go about their creative tasks. Already in use by companies including Airbus, Under Armour, and Stanley Black & Decker, the software is an example of the burgeoning field of generative design. The software then produces hundreds or even thousands of options. As the human designer winnows the choices, the software susses out preferences and helps iterate even better options.
Infrared light flooded down invisibly as I eyed the pastries in Amazon's new convenience store in downtown San Francisco. It helped cameras mounted on the store's ceiling detect that I picked up a croissant, then put it back. My flirtation with a $3.19 morsel of flaky pastry was recorded during a preview of the Amazon Go store that opened in San Francisco's financial district this morning. As in the five other such stores in Seattle and Chicago, shoppers gain entry by scanning a QR code in the Amazon Go mobile app to open a subway-style entry gate. Hundreds of cameras on the ceiling, plus sensors in the shelves, then record what each person picks up, so they can walk out without having to visit a checkout.
Artificial intelligence is coined from two different words. Artificial is said to be man made while intelligence on the other hand is the capacity of mind to understand principles, truth, facts or meanings, to acquire knowledge, and apply it to practice. It's the ability to learn and comprehend. Artificial intelligence is therefore machines created by man to make life easy and comfortable. These are computer programs or machines that help to think and learn.
This example of programmable architecture uses lightweight materials and drones to help it adapt to environmental changes. Digital fabrication and automation is changing the way we build, allowing for cutting-edge concepts to take form through computer-aided design tools and integrating robotics into building techniques. Three graduate students over at University of Stuttgart's Institute for Computational Design and Construction (ICD) and Institute of Building Structures and Structural Design (ITKE) recently unveiled a modular architectural canopy that can be reconfigured in real-time, using drones. Dubbed Cyber Physical Macro Material, the 2.5-metre (8.2-foot) high canopy is designed as a "new dynamic (and intelligent) agile architecture for public spaces," which can respond to weather conditions. Built with lightweight carbon fibre filament, magnets and a variety of sensors and processors, the canopy demonstrates the possibility of'live' construction processes, facilitated by unmanned aerial vehicles (UAVs).
Deep Learning and Machine Learning has made breakthroughs in recent years. There is tens of billions of dollars going into development of the new AI. Google and Deep Mind are recognizing that Deep Learning is not going to reach human cognition. They propose using models of networks to find relations between things to enable computers to generalize more broadly about the world. Deep learning faces challenges in complex language and scene understanding, reasoning about structured data, transferring learning beyond the training conditions, and learning from small amounts of experience.
This article first appeared in Data Sheet, Fortune's daily newsletter on the top tech news. To get it delivered daily to your in-box, sign up here. Last week, from the Fortune Global Forum in Toronto, where Canadians are justifiably proud of their leadership position in artificial intelligence research, I brought you the epiphany that not every businessperson will need to become an AI expert. It will be no more necessary to master the mechanics of AI than it was in earlier eras to be able to design a spreadsheet program or to build a car in order to benefit from those breakthrough technologies. That said, it absolutely behooves everyone in business and other productive endeavors to understand the ramifications of AI, as it really will change everything.
Speakers at the InterraIT conclave held recently stressed the need for the information technology sector to embrace Artificial Intelligence (AI). Asoke K. Laha, Founder, President and CEO of InterraIT, has emerged as a strong advocate of the adoption of cutting-edge technologies as a strategy to reorient India's IT industries in the face of challenges posed by rampant protectionism, increased competition, and labor arbitrage in its target markets. "We need to look inward at domestic markets with a view to bringing to the table sophisticated new technologies like open-source software, cloud computing, data analytics, and now artificial intelligence." Laha said at the conclave. Summing up the learnings from the conclave, Jagannath Sanyal, Marketing Director said InterraIT has chalked out aggressive plans to lead the technological changes from the front.
About me: Dinis Guarda: author, CEO and founder Working / collaborating / advising the likes of Advisor: Founder board member: Books 3. What is the biggest challenge humanity faces now? by @DinisGuarda 4. 4 What is the DNA of our time? What happens when we can hack this code? As we digitise all society, ourselves and datify our own data ... we are / will leapfrog the very system of our human identity and society. Organic and digital DNA are merging. Scientists and technologists as they have access to its engineering have and are using DNA conventions to store books, recordings, GIFs, and planning things such as an Amazon gift card.
The technology has evolved from basic designs to a wide range of highly-customizable objects. Still, there's a big issue: Once objects are printed, they're final. If you need a change, you'll need a reprint. But imagine if that weren't the case -- if, for example, you could change the color of your smartphone case or earrings on demand. Researchers from MIT's Computer Science and Artificial Intelligence Laboratory (CSAIL) have gotten closer to making that a reality.
As part of Datalabs offerings, were evaluating multiple platforms for Robotic Process Automation (RPA) and we explored few custom development options as well and there were lot of interesting learnings. As part of custom development, we did a RPA platform to optimize an online stock trading algorithm (https://www.youtube.com/watch?v 5Xk4AWKPYNY&t 38s) and maximize its performance. This Fintech ML platform yielded excellent results in real time trading. Besides, we did another custom RPA development (https://www.youtube.com/watch?v 3CQyBZOEmvo&t 107s) where we used NLP processor to extract instruction from English text to run an automation script to send'job offer letters' to multiple people. On the platform front, we evaluated multiple options and narrowed down UiPath and we have completed couple of PoC implementations with real time use cases.