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) …
The risk to people's jobs from artificial intelligence, the prospect that machines will displace workers, has a kind of positive flip side, according to some: The possibility that taking away the more mundane parts of work may make those still with a job more productive. That's the premise of a startup in enterprise software that's been blessed with $42 million in the past two years in order to chase down those parts of information work that lie abandoned in dark corners. "I hated logging stuff into Salesforce," reflects Oleg Rogynskyy of his many years in sales and marketing using the marquee CRM software. Rogynskyy is founder and chief executive of San Francisco-based People.ai, a two-and-a-half year old cloud software venture that on Tuesday announced a $30 million Series B round of funding from venture capital firm Andreessen Horowitz. The new money follows seed investment from Y Combinator, Index Ventures, Shasta, and a group of angel investors, and an A round led by Lightspeed Venture Partners.
Toptal, a global network of top talent in business, design, and technology that enables companies to scale their teams, on-demand, today announced the launch of its two new on-demand talent specializations to meet the rising demand for skilled artificial intelligence and data science engineers. Tapping into Toptal's private network of highly skilled software professionals, the new specialized service will connect organizations with freelance artificial intelligence and data science professionals who are experts in machine learning, deep learning, data architecture, and data mining. "Businesses across every sector are moving quickly to leverage the power of artificial intelligence and data science optimization.
The driver in a car accident takes a picture of the damaged vehicle and sends it to an insurer for a coverage quote on the spot. A hat retailer uses data analytics to tweak its marketing formula and more than 60 percent of recipients suddenly open their messages in an email campaign. A hotel guest checks in and issues voice commands to an in-room personal assistant, ordering a rental car from the guest's preferred company that shows up outside the lobby a half-hour later. Is this the future of artificial intelligence, or is it a mad vision of computers run amok? In fact, these are all actual use cases presented during Dreamforce 2018 in San Francisco this week (pictured), and they underscore a theme that occupied much of the conversation among 170,000 attendees.
This year's Tableau Conference, kicks off with its keynote and first day of sessions in New Orleans today. As part of the festivities, Tableau and open source geographic information systems (GIS) player Mapbox, are announcing their Mapbox Geospatial Analytics Extension for Tableau. The extension allows customers to easily aggregate spatial data into clusters and regular grids or transform the data into voronoi polygons or isobands. Sheets and dashboards in Tableau already look good. Add in some impressive map visualizations and things go from good to great.
The new service offerings will leverage Toptal's unparalleled network of global talent to help businesses staff artificial intelligence and data science projects Toptal, a global network of top talent in business, design, and technology that enables companies to scale their teams, on-demand, today announced the launch of its two new on-demand talent specializations to meet the rising demand for skilled artificial intelligence and data science engineers. Tapping into Toptal's private network of highly skilled software professionals, the new specialized service will connect organizations with freelance artificial intelligence and data science professionals who are experts in machine learning, deep learning, data architecture, and data mining. "Businesses across every sector are moving quickly to leverage the power of artificial intelligence and data science optimization. For many of them, access to high-quality talent is the critical hurdle," said Taso Du Val, Toptal co-founder and CEO. "With these service offerings, Toptal is providing businesses with the unique opportunity to quickly staff their AI and data science initiatives with elite talent. Our company was made by engineers for engineers, so we care deeply about matching our clients with experts who have the exact skills and real-world experience they need to realize their goals."
SAP has signalled its intention to help firms automate a wide range of back office tasks using robotic process automation. Here's how it's related to artificial intelligence, how it works and why it matters. The software and services vendor announced an investment in intelligent robotic process automation (RPA) that will help SAP automate repetitive processes across its portfolio. "Machine learning acts here as the brain that is managing exceptions and guides the RPA bot to execute on desired processes," said Juergen Mueller, chief innovation officer at SAP, speaking at the SAP TechEd conference in Barcelona. During RPA, software is used to capture the rules that govern how people process transactions, manipulate data and send data to and from computer systems, in an attempt to build an automated platform that can perform those roles.
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).