In this Intel on AI podcast episode with Abigail Hing Wen: guest Andrew Ng joins host Abigail Hing Wen to talk about the future of AI. Artificial intelligence has so much buzz around it, but only a handful of [See the full post…]

The Intel on AI podcast is relaunching with New York Times best-selling author Abigail Hing Wen as the new host. Focusing on interviews with the world’s most interesting AI experts, the Intel on AI podcast covers a wide range of [See the full post…]

In this Intel on AI podcast episode: Enterprises today are investing in machine learning (ML) and artificial intelligence (AI) to transform their business and optimize existing workflows. Yet, knowing how to implement AI and ML in your business can [See the full post…]

In this Intel on AI podcast episode: Organizations want to get insights from their data but face barriers to adopting machine learning (ML) and AI including lack of data science expertise in the global workforce, exorbitant costs, lack of [See the full post…]

In this Intel on AI podcast episode: In Europe, like many locations around the world, there are important efforts around wildlife monitoring and invasive species population control to ensure that endemic species are still able to live in their [See the full post…]

In this Intel on AI podcast episode: As customers realize the importance of adopting artificial intelligence (AI) throughout their business there can be many challenges to overcome. Hurdles like identifying the pertinent business problems, defining success criteria, evaluating technologies, [See the full post…]

In this Intel on AI podcast episode: Safety and productivity issues are crucial for engineering, manufacturing, and industrial organizations. Ensuring that workers are in their safe and respective area not only helps prevent injuries but also increases productivity and [See the full post…]

In this Intel on AI podcast episode: Industrial operations such as metal manufacturing need to keep track of how well their facilities, time, and materials are being utilized in order to be as productive and profitable as possible. Yet, [See the full post…]

In this Intel on AI podcast episode: The COVID-19 coronavirus, since its initial outbreak, has quickly become a global pandemic and the inadequate amount of lab tests available for people suspected of infection have posed serious risks to public [See the full post…]

In this Intel on AI podcast episode: Retail shoppers around the world are always looking to have a more personalized, convenient, and overall better shopping experience when they visit stores. With the advent of advanced cameras, sensors, and AI [See the full post…]

In this Intel on AI podcast episode: As wind turbines proliferate and grow in size and complexity, the biggest challenge to Wind Energy is the high cost of Operations and Maintenance. Manual inspection and maintenance is dangerous and expensive. [See the full post…]

In this Intel on AI podcast episode: 4G/ LTE network is a preferred method of information transfer today and is becoming more and more crucial in our extremely connected lives. To keep up with the ever-increasing volume of traffic, [See the full post…]

Peter Wang, CEO and Co-Founder of Anaconda, explains the series of happy accidents that have led to organic adoption of Python as the number one language among developers in data science and machine learning in this episode of Code Together [See the full post…]

In this Intel on AI podcast episode: Sparse modeling methods can improve the interpretability of predictive AI models and is widely used in academia today. Yet despite advances in the field, issues remain when sparse modeling meets real-life applications. [See the full post…]

In this Intel on AI podcast episode: In industrial and manufacturing settings plant safety issues like oil spills, chemical spills, and PPE (personal protective equipment) violations can happen often. These issues put lives at risk, the environment in danger, [See the full post…]

In this episode of Code Together, Geoff Lowney, Senior Fellow at Intel, and Andrew Richards, CEO at Codeplay Software, discuss the value of standards in enabling hardware and software developers to collaborate and innovate. From the early days of video [See the full post…]

In this Intel on AI podcast episode: Enterprises are in a race to become more agile, nimble, and responsive to remain competitive in today’s fast-changing marketplace. Turning to machine learning (ML) and data science is essential. Today companies can [See the full post…]

In this Intel on AI podcast episode: To remain competitive businesses need to utilize their data to the fullest and make data-driven decisions at all levels. Yet, collecting and analyzing data can be expensive when hiring external expertise or [See the full post…]

In this Intel on AI podcast episode: Every customer call is an opportunity to gain information about customer preferences and provide a positive experience for callers. Yet, call centers can be expensive to run and maintain, especially in the [See the full post…]

In this episode of Code Together, we talk to Alice Chan, Vice President and General Manager of Compiler Engineering at Intel, and Hal Finkel, Lead for Compiler Technology and Programming Languages at Argonne National Lab, about how the industry [See the full post…]

In this Intel on AI podcast episode: The Internet of Things (IoT) is producing a tremendous amount of data. But companies need to make sense of the data and AI is a clear answer to analyze and act on [See the full post…]

In this Intel on AI podcast episode: Healthcare workloads, particularly in medical imaging, require more memory usage than other AI workloads because they often use higher resolution 3D images. Deep learning (DL) models developed from these data sets require [See the full post…]

In this Intel on AI podcast episode: Today, the deluge of data has made demand for machine learning engineers explode. Also because distributed computing is a challenging and elite subfield of computer programming, finding engineers to address these skill [See the full post…]

In this Intel on AI podcast episode: Knowing how a product or service makes a customer feel enables companies to make successful products that their customers enjoy. Yet measuring this traditionally takes a lot of time and effort through [See the full post…]

In this Intel on AI podcast episode: Manually gathering, processing, and analyzing unstructured data is extremely effort and time intensive. For industries such as insurance or finance this is a big issue and can cost an organization much time [See the full post…]