We have the largest annotated dataset for the construction industry ever assembled with all of its real world attributes: dirty, unexplored, and rich. This role is for you if you want hands-on experience with ML on image, speech, and video data. We are looking for someone excited to design, train, apply and evaluate the latest deep learning models on customer data within our cloud based research and production environments. The goal is to generate an automated assessment of job site safety risks and feed the data to a predictive pipeline that will help our clients better manage their workforce and ultimately save lives. Most of our programming is done in Python3 using AWS resources.

The field of construction is well placed to benefit from the advent of machine learning and artificial intelligence (AI). As part of the BIM 360 Project IQ Team at Autodesk, I've had the privilege to participate in Autodesk's foray into machine learning for construction. This article summarizes developments in this space, and covers some ways in which one can prepare to maximize value from this technology, including a broad survey of some of the applications of AI and machine learning in construction, and the potential impact. These processes are making changes across various areas, including risk management, schedule management, subcontractor management, construction site environment monitoring, and safety, to name a few. The public perception of artificial intelligence usually ranges between the two extremes of having it rule the world to it being dismissed as fantasy with no place in a serious conversation.

The Research Insights has added an innovative statistics, titled as Artificial Intelligence (AI) In Construction Market. To explore the desired data, it uses primary and secondary exploratory techniques. Different aspects of the businesses are examined to provide the accurate data of market. The artificial intelligence in construction market was esteemed at USD 434 million out of 2018, and is relied upon to arrive at an estimation of USD 2,486 million by 2025, at a CAGR of 33%, during the conjecture time frame (2019 – 2025). Computerized reasoning enables PC frameworks to settle on keen choices by applying the required abilities.

The National Association of Insurance Commissioners recently created the Innovation and Technology Task Force to "explore the technological developments in the insurance sector." It cited the rise of artificial intelligence as one of the key issues that the task force would address, citing the technology's "potential to transform the insurance industry in a number of ways." The message is being received loud and clear: adapt or be left behind. The insurance industry has historically been a laggard compared to other industries when it comes adoption of new technologies. However, the industry should be credited for embracing recent advances in technology, most notably the use of computer vision (a form of AI) and drones, to automate or assist with what would have previously been arduous and/or dangerous tasks.

Using artificial intelligence (AI) to apply machine learning to planning and constructing buildings is still a theoretical proposition for many AEC firms. But in recent years, as data storage and computational power have expanded, more firms are willing to engage AI as a practical analytics tool. Their ultimate goal for using this platform seems clear: to generate predictive data that provides early hints about future trends and behaviors on everything from interior designs to jobsite safety. For example, co-working real estate giant WeWork is using AI-driven machine learning to forecast how prospective occupants might use co-working and shared spaces, and to assist its design partners in making more optimal choices. These analyses draw data from the company's 200-plus locations worldwide. "We're trying to understand the right kind of spaces to put into offices, so we're not wasting space or overusing it," says WeWork's Director of Research Daniel Davis, PhD.

The rise of artificial intelligence (AI) is already leading some forecasters to predict a startling vision of construction in a generation's time – where roles traditionally carried out by human beings are instead performed by robots. In the first of our special features Denise Chevin examines which areas of the industry will be most affected. The rise of AI is the great story of our time. Those who have delved online to ask "Will a robot take my job?" might take comfort that design and construction professions such as architects, quantity surveyors or construction managers are low down on the list of professions likely to be replaced by machines, compiled by scientists from the Martin School at Oxford University in 2015. But that belies the profound impact experts say artificial intelligence and machine learning will have on the roles that both trades and professionals do in the built environment.

Nvidia is on a quest to find the most disruptive artificial intelligence startups. This quest is part of a larger contest, dubbed Nvidia Inception, which is screening more than 600 entrants to cull the best AI startups in three big categories. We wrote about the first four candidates for the hottest emerging startup on Friday. And now we're focusing on the next five candidates in the category dubbed the "most disruptive" startups. Jen-Hsun Huang, CEO of Nvidia, hosted a Shark Tank-style event this week as part of the search to find the best AI startups. Huang and a panel of judges listened to pitches from 14 AI startups across three categories.

Using artificial intelligence to scan construction-site photos and video to spot issues that can affect performance, quality and safety, a tech startup has landed a strategic investor with millions of such images that can be used to improve the technology. Under the agreement, the startup reserves its right to continue integrating its tool with the products of other developers. Cambridge, Mass.-based Smartvid.io is getting a $7-million cash infusion from its existing investors as well as Autodesk Inc.; Borealis Ventures, a venture capital fund focused on technology for construction; and another venture capital firm, Castor Ventures. The deal also gives the company, whose service already is integrated with Autodesk BIM360 Field, the ability to use Autodesk's trove of construction images for improving its image recognition technology. "Strategic investors can bring not only money. They also can bring data to the play," says Josh Kanner, founder and CEO of Smartvid.io.

A big construction project is like a celebrity. It gets a lot of attention. Everyone takes pictures and videos. For stakeholders, it would be nice if all those images could be stored in one place, and be labeled and shared. It would be even nicer if someone could study the collected images and videos and be able to monitor their progress; check on key milestones; spot potential problems, including safety issues; and so on.

INCEPTION IS A VIRTUAL ACCELERATOR FOR MORE THAN 2,000 AI STARTUPS. GENETESIS: AI-Powered Biomagnetic Chest Pain Triage 2. LUNIT: Software for Medical Data Analytics and Interpretation 3. INSILICO MEDICINE: AI for Drug Discovery, Biomarker Dev't 4. SIGTUPLE: Smart Screening Powered by Data-driven Intelligence 5. BAY LABS: AI Technologies for Cardiovascular Imaging and Care THE NOMINEES FOR THE "BEST SOCIAL INNOVATION" AI STARTUPS ARE … 7. Genetesis is building solutions that allow physicians to detect and localize sources of abnormality in the heart. The Genetesis CardioFlux platform allows clinicians to visualize the heart's inherent electrical activity in dynamic 3D maps. TECHNOLOGY LEARN MORE Genetesis 8. Lunit develops advanced software for medical data analytics and interpretation via cutting-edge deep learning technology. They aim to help physicians make accurate and consistent clinical decisions through our data-driven imaging biomarker technology.