Computers used to take up entire rooms. Today, a two-pound laptop can slide effortlessly into a backpack. But that wouldn't have been possible without the creation of new, smaller processors -- which are only possible with the innovation of new materials. But how do materials scientists actually invent new materials? Through experimentation, explains Sanket Deshmukh, an assistant professor in the chemical engineering department whose team's recently published computational research might vastly improve the efficiency and costs savings of the material design process.
Well-known Belfast startup Axial3D produces 3D prints of your body parts. This isn't to satisfy the narcissistic social media types – it has important surgical implications. This previous TechWatch article describes the company's process. Now, Axial3D is developing new AI techniques to make instantaneous the transition from 2D images to 3D prints. How are they doing that?
My sandwich looked like something out of a restaurant commercial: glossy yellow cheese oozing between two golden-brown slices of toast. The first bite should have been rich, gooey and decadent. I stalked back to the kitchen, pulled open the fridge door, and snatched the culprit. Printed on the back of the plastic package--Mexican Style Blend Finely Shredded Cheese, left by a visiting friend--was an ingredient list longer than just "cheese." Food additives are a fact of modern life--they improve shelf-life, flavor, texture, consistency and color.
Kubernetes is becoming synonymous with cloud-native computing. As an open-source platform, it enables development, deployment, orchestration and management of containerized microservices across multicloud ecosystems. Kubernetes is the key to cloud-native microservices that are platform agnostic, dynamically managed, loosely coupled, distributed, isolated, efficient, and scalable. The maturation of Kubernetes continues to deepen as it leverages containers, orchestrations, service meshes, immutable infrastructure, and declarative APIs. One clear indicator of Kubernetes' maturation is the rich ecosystem of other open-source projects that have grown up around it.
Dutch scientists have developed robot bees which could help pollinate plants without the use of insects. Researchers at Delft University of Technology in the Netherlands believe they may have solved the problem of climate change or pesticides killing off the creatures. The DelFly Nimble's wings beat at 17 times per second to power the robot at speeds over 15 miles per hour (25kph). However, they share an uncanny resemblance to robot bees that are hacked and turned into killing machines in the popular science fiction series Black Mirror. It uses off-the-shelf components, making it cheap to build, and scientists say it could be used in a host of real-world applications.
Then there are those companies that view AI as a transformational platform that has the potential to create a new species of business. These future-minded companies are centering on the customer and using AI to connect people and processes and predict business outcomes, capitalizing on new revenue opportunities by applying new forms of intelligence. With research showing that half of the S&P 500 will be replaced over the next 10 years, organizations that view AI as merely a trend or a quick antidote to a business problem risk falling to the back of the pack or vanishing altogether. Meanwhile, businesses that are successfully building for the future realize that the actions they take today will permit their enterprises to sense and predict with accuracy so they can make better, faster decisions that transform the customer experience. In the current environment, not all businesses are created equal, says Sanjay Srivastava, chief digital officer at Genpact: "Firms that embed AI as their central nervous system will unlock a significantly more dynamic and powerful tomorrow and will act more like living organisms--enabling them to operate instinctively.
Decision trees usefully represent sparse, high dimensional and noisy data. Having learned a function from this data, we may want to thereafter integrate the function into a larger decision-making problem, e.g., for picking the best chemical process catalyst. We study a large-scale, industrially-relevant mixed-integer nonlinear nonconvex optimization problem involving both gradient-boosted trees and penalty functions mitigating risk. This mixed-integer optimization problem with convex penalty terms broadly applies to optimizing pre-trained regression tree models. Decision makers may wish to optimize discrete models to repurpose legacy predictive models, or they may wish to optimize a discrete model that particularly well-represents a data set. We develop several heuristic methods to find feasible solutions, and an exact, branch-and-bound algorithm leveraging structural properties of the gradient-boosted trees and penalty functions. We computationally test our methods on concrete mixture design instance and a chemical catalysis industrial instance.
Environmental author Wendell Berry might shudder at this comparison, but farmers are like data scientists. To make decisions, they ferret out meaning from a sea of data. That data just happens to be related to environmental conditions like temperature, rainfall, salinity, nitrogen, pests, commodity prices, and other variables. What that data often shows is trouble: increasingly costly or scarce water supplies, new and more voracious pests, herbicide-resistant weeds, and extreme weather. All of this can result in lower farm yields and higher costs.
A World Food Programme convoy carries humanitarian aid to Aleppo, Syria. Getting food into conflict zones is a major hurdle -- and a topic of discussion at the WFP's Innovation Accelerator. A World Food Programme convoy carries humanitarian aid to Aleppo, Syria. Getting food into conflict zones is a major hurdle -- and a topic of discussion at the WFP's Innovation Accelerator. Let's figure out how to end hunger forever.
Businesses across the world are rapidly leveraging the Internet-of-Things (IoT) to create new products and services that are opening up new business opportunities and creating new business models. The resulting transformation is ushering in a new era of how companies run their operations and engage with customers. However, tapping into the IoT is only part of the story. For companies to realize the full potential of IoT enablement, they need to combine IoT with rapidly-advancing Artificial Intelligence (AI) technologies, which enable'smart machines' to simulate intelligent behavior and make well-informed decisions with little or no human intervention. Artificial Intelligence (AI) and the Internet of Things (IoT) are terms that project futuristic, sci-fi, imagery; both have been identified as drivers of business disruption in 2017.