Dynam.AI Unveils Revolutionary Contextualized Machine Learning Capability

Nov 15, 2022

San Diego, CA | November 15, 2022

Patent-pending Context-Augmented Machine Learning (CAML) brings logic and reasoning to artificial intelligence use cases—and has already allowed one Dynam.AI client to autonomously monitor oil and gas facilities for loss of containment.

“We have solved some previously unsolvable industry challenges for our clients using CAML, and are excited to introduce this groundbreaking AI capability to the industrial sector.” – Diana Shapiro, CEO, Dynam.AI

Dynam.AI, an artificial intelligence (AI) software development firm automating critical decision-making for the industrial sector, today announced a groundbreaking capability available to all clients: Context Augmented Machine Learning (CAML). CAML leverages scientific “first principles” and the laws of physics, human behavior, and macroeconomic conditions to simulate the physical world for more realistic, trustworthy analytics. This allows industrial businesses to automate manual processes, improving their critical decision making and increasing ROI with fewer resources. Dynam.AI’s in-house development platform, using the patent-pending CAML method, has been proven to speed up AI model development for clients by up to 65%.

“We have solved some previously unsolvable industry challenges for our clients using CAML, and are excited to introduce this groundbreaking AI capability to the industrial sector,” said Diana Shapiro, CEO of Dynam.AI. “Dynam.AI is a team of data scientists and engineers who are passionate about advancing artificial intelligence. Our novel data science methods and in-house platform empower us to complete projects faster, more accurately, and with less data. CAML is just one of the tools we have in our workbench to partner with clients—but it’s one that will improve the discipline of machine learning as we know it.”

What CAML Does

CAML combines existing data and models to expand features for analysis, introducing common-sense information that a human would innately use but a non-human algorithm would not, such as the laws of physics. It allows Dynam.AI to do two important things for clients: 1.) create richer data models for AI solutions that are smarter and better able to adapt to the real world, and 2.) solve data “cold cases” that traditional machine learning methods are unable to crack.

“Traditional machine learning is only able to work with the data it’s given,” said Dimtiry Fisher, Chief Scientific Officer at Dynam.AI. “Not all data sets or data collection methods are created equal, and none of them are perfect. This is why it can take so long to develop AI solutions for the industrial sector that actually do what they’re supposed to, such as detect anomalies or optimize a process. But when your AI has access to scientific first principles, it can use the data it’s given much more efficiently and effectively. This translates into better results with available data, and results that cannot be obtained based on data alone, leading to better decision intelligence and better solution performance.”

CAML aids developers and data scientists who are working on projects in object detection, medical imaging, sensor fusion, predictive diagnostics, satellite, and aerial imaging, thermography, anomaly detection, and much more. This capability has allowed Dynam.AI clients to solve long-standing problems with image and sensor data, developing solutions up to 65% faster.

How Dynam.AI Clients are Using CAML

The Dynam.AI team recently helped American Robotics, a subsidiary of Ondas Holdings, Inc., advance their AI-powered anomaly detection and alerts, which flag loss of containment in oil and gas operations. American Robotics, which is the first company approved by the FAA to operate commercial drones remotely, has worked with Dynam.AI using CAML to create a capability to detect and identify potential oil leaks early, i.e. loss of containment. These new loss of containment capabilities will enable automatic detection of hydrocarbon losses at oil and gas facilities, ensuring worker safety and mitigating potential environmental, financial and reputational risk.

“American Robotics and Ondas Holdings are valued partners of Dynam.AI, and this project demonstrates the benefit of using first principles in conjunction with machine learning,” said Shapiro. “We look forward to sharing the many other exciting advances we are helping our industry clients progress using context augmentation.”

Click Here to learn more about Context-Augmented Machine Learning (CAML) and to download the white paper.

About Dynam.AI

Dynam.AI drives smart transformations for the industrial sector. We leverage the power of scientific “first principles” such as physics, macroeconomics, and human behavior to build artificial intelligence solutions that automate critical decision-making to improve business outcomes. Our expert data scientists tailor AI-driven solutions with next-gen machine learning capabilities that get smarter over time for each client, so they can make accurate, real-time decisions up to 65% faster with less data. Manufacturers use Dynam.AI to optimize production processes, reduce downtime, automate diagnostics and repair to maximize efficiency, meet operational targets, and create new revenue streams and business models that allow them to stay competitive.

For more information, please visit http://www.dynam.ai or email [email protected]

Dynam.AI | Adaptive AI That Gets Smarter Over Time

In the News

Dynam.AI Named to 2022 Gartner® Cool Vendor™ List for Simulation in AI

Dynam.AI, an artificial intelligence (AI) development firm with next-generation Adaptive AI technologies today announced that it has been named a Cool Vendor by Gartner. Gartner delivers actionable, objective insight to executives and their teams. Their expert guidance and tools enable faster, smarter decisions and stronger performance on an organization’s most critical priorities. In a report titled, “Cool Vendors for Simulation in AI” by Anthony Mullen, et al, Gartner authors stated that “simulation technologies can help AI practitioners scale the volume and variety of AI models produced as well as reducing risk and technical debt.”

read more
How to Make AI Smart Enough for Metalworking

Metalworking, like many other areas of the manufacturing sector, is under extreme pressure to increase efficiency and productivity while reducing costs in order to innovate and compete globally. Artificial intelligence (AI) has a lot of potential to achieve these goals by automating areas like predictive maintenance, process optimization, anomaly detection and workplace safety. However, as Dynam.AI’s Diana Shapiro and Dimitry Fisher write, many industry leaders have learned that not all AI is created equal.

read more
Dynam.AI Brings ‘Unfair Advantage’ to Machine Learning Market

With its patent pending CAML technology, Dynam.AI has an “unfair advantage” over its competitors in the data analytics and machine learning space.

“Our fundraising advisor came up with that term because there is nobody else doing this,” said Dynam CEO Diana Shapiro. “When bringing on a client, we can solve problems that are unsolvable without our technology.”

read more
Robotics 24/7 – Dynam.AI Launches Contextual Machine Learning Approach for Robotics Autonomous Services

Dynam.AI today said its Context Augmented Machine Learning, or CAML, software capability is now available. CAML uses what the company called “scientific first principles” and the laws of physics, human behavior, and macroeconomic conditions for more accurate models and analytics. Dynam.AI has partnered with industrial drone provider American Robotics, which uses artificial intelligence and CAML to detect and identify potential oil and gas leaks.

read more
Dynam.AI Awarded 2022 Red Herring Top 100 Global Company

“Choosing the companies with the strongest potential was by no means a small feat this year” said Alex Vieux, publisher and CEO of Red Herring. “After rigorous contemplation and discussion, we narrowed our list down from hundreds of candidates from across the globe to the Top 100 Winners. We believe Dynam.AI embodies the vision, drive and innovation that define a successful entrepreneurial venture. Dynam.AI should be proud of its accomplishment as the competition was very strong.”

read more