Applying Artificial Intelligence to Built Environments through Machine Learning

January 5, 2020

Machine learning (ML) is an application of artificial intelligence (AI) that allows systems to automatically learn and improve from exposure to more data without being explicitly programmed. ML focuses on the development of computer programs that can access data and use it to learn for themselves.1 While AI represents the broader concept of machines being able to carry out tasks in an intelligent way, machine learning is a current application of AI based on the idea that we can give machines access to data, and they can use that data to learn for themselves.

Spotlight

Siegel+Gale

Siegel+Gale is the simplicity company. We seek it, defend it and embrace it in everything we do to help brands reach their true potential. Simplicity is the centerpiece of the strategies we develop that reveal the unique truths of an organization, the engaging stories we create that connect brands with their audiences and the meaningful experiences we deliver that are both unexpectedly fresh and remarkably clear. Since 1969, Siegel+Gale has championed simplicity for leading corporations, nonprofits and government organizations worldwide. We have offices in New York, Los Angeles, San Francisco, London, Dubai, and Shanghai, but we’re willing to fly just about anywhere. We’re also not alone. As part of Brand Consulting Group, a division of Omnicom Group Inc., we have strong partners all around the world.

OTHER WHITEPAPERS
news image

Green Mechanical

whitePaper | April 16, 2020

Since its inception in 1983, Green Mechanical has grown from 1 to 3 offices, taking on larger, more complex projects. However, success came with its own unique challenges. With employees spread across multiple cities and states, Green Mechanical built custom workflows for various systems to ensure collaborators had access to the information they needed. That meant employees had to keep track of multiple remote logins to complete simple tasks like printing job cost reports. Additionally, some employees used digital processes, while others used pen-and-paper. As a result, teams were often working off outdated information.

Read More
news image

Leading Through Digital AI Powered Transformation

whitePaper | December 23, 2019

We are witnessing a new genre of companies shaping the business landscape by leveraging emerging technologies and applying them with such potency to create competitive advantage. These organisations have a quest to scale; they are big on customer experience; they are open to partnerships and are able to deploy their products and services at scale through APIs; they are big adopters of the cloud and quite often are born in the cloud; they embrace design thinking and are happy to return to first principles to find innovative solutions to business problems; and they are relentless at leveraging the power of artificial intelligence (AI) for insights and decision making.

Read More
news image

How Financial Institutions Can Overcome 3 Obstacles to Innovation

whitePaper | August 10, 2020

Digital innovation is happening fast — and there’s no slowing it down. Financial institutions are shifting priorities as third-party apps and services become more prevalent among consumers. Now, staying connected is no longer just an option, it’s critical to achieving success and staying relevant. mx.com | 1 But moving fast isn’t as easy as it sounds. There’s a fine line that financial institutions have to balance when it comes to innovating quickly to give their customers the experiences they’ve come to expect and ensuring their data remains safe and secure. As data sharing and connected integration ecosystems become the new norm, here are three challenges many financial institutions are facing.

Read More
news image

Optimize Microsoft SQL Server Workloads with NetApp Solutions

whitePaper | July 31, 2020

IT organizations face constant change. There’s the overarching transition to cloud, which raises questions about what workloads to move when. And there are application-level transitions imposed by vendors when they end support for older versions of software, forcing companies to upgrade. Microsoft SQL Server is swept up in both of these transitions. Organizations rely on SQL Server for everything from ERP to analytics, and thousands of them are running the 2008 or older versions that are now end of support.

Read More
news image

Understanding the Dynamics of artificial intelligence in Intellectual Property.

whitePaper | November 30, 2019

The report on “Understanding the Dynamics of Artificial Intelligence in Intellectual Property” prepared by the Tata Consultancy Services in close association with the Confederation of Indian Industry (CII) captures global developments, practices of various intellectual property offices of the world, technology landscape and research outlook. This publication on IPR would provide useful information to educational & research institutions and industries doing research in this area and fill up gaps for moving forward. CII firmly believes that IPR should be at the centre stage in competing in the world of artificial intelligence in a meaningful manner. The report highlights an important recommendation that, “With evolution of new technology, it is essential to have change in the IP creation and protection ecosystem by mechanisms to develop new doctrines for new technologies, modifying the existing system to accommodate this new change and reshaping of new policies for enforcement of IPRs”.

Read More
news image

Machine Learning on Arm Cortex-M Microcontrollers

whitePaper | January 20, 2022

Machine learning (ML) algorithms are moving to the IoT edge due to various considerations such as latency, power consumption, cost, network bandwidth, reliability, privacy and security. Hence, there is an increasing interest in developing neural network (NN) solutions to deploy them on low-power edge devices such as the Arm Cortex-M microcontroller systems. To enable that, we present CMSIS-NN, an open-source library of optimized software kernels that maximize the NN performance on Cortex-M cores with minimal memory footprint overhead. We further present methods for NN architecture exploration, using image classification on CIFAR-10 dataset as an example, to develop models that fit on such constrained devices.

Read More

Spotlight

Siegel+Gale

Siegel+Gale is the simplicity company. We seek it, defend it and embrace it in everything we do to help brands reach their true potential. Simplicity is the centerpiece of the strategies we develop that reveal the unique truths of an organization, the engaging stories we create that connect brands with their audiences and the meaningful experiences we deliver that are both unexpectedly fresh and remarkably clear. Since 1969, Siegel+Gale has championed simplicity for leading corporations, nonprofits and government organizations worldwide. We have offices in New York, Los Angeles, San Francisco, London, Dubai, and Shanghai, but we’re willing to fly just about anywhere. We’re also not alone. As part of Brand Consulting Group, a division of Omnicom Group Inc., we have strong partners all around the world.

Events