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Dr. Patrick Bangert, Vice President of AI, Samsung SDS — Developing Next Gen AI To Serve Humanity

Developing Next Generation Artificial Intelligence To Serve Humanity — Dr. Patrick Bangert, Vice President of AI, Samsung SDS.


Dr. Patrick D. Bangert, is Vice President of AI, and heads the AI Engineering and AI Sciences teams, at Samsung SDS is a subsidiary of the Samsung Group, which provides information technology (IT) services, and are active in research and development of emerging IT technologies such as artificial intelligence (AI), blockchain, Internet of things (IoT) and Engineering Outsourcing.

Dr. Bangert is responsible for the Brightics AI Accelerator, a distributed ML training and automated ML product, and for X.insights, a data center intelligence platform.

Among his other responsibilities, Dr. Bangert acts as a visionary for the future of AI at Samsung.

Before joining Samsung, Dr. Bangert spent 15 years as CEO at Algorithmica Technologies, a machine learning software company serving the chemicals and oil and gas industries. Prior to that, he was assistant professor of applied mathematics at Jacobs University in Germany, as well as a researcher at Los Alamos National Laboratory and NASA’s Jet Propulsion Laboratory.

Here’s why AI will be crucial for future US electrical grid reliability

When most Americans think of the infrastructure projects the Biden administration is proposing in the American Jobs Plan, they think of concrete, steel, and labor. But what if the biggest predictor of the success of the infrastructure plan is not in the materials but in artificial intelligence (AI) and machine learning (ML)?

Electrek spoke with Monte Zweben, CEO of Splice Machine, a database company that helps utilities and industrial companies implement data, about how AI/ML technologies could determine whether the American Jobs Plan succeeds as the US transitions to clean energy.

Baubot comes out with two new robots to aid in construction projects

Despite artificial intelligence and robotics adapting to many other areas of life and the work force, construction has long remained dominated by humans in neon caps and vests. Now, the robotics company Baubot has developed a Printstones robot, which they hope to supplement human construction workers onsite.

Baubot manufacturers built this with the capacity to transport heavy loads, lay bricks and even sand sheetrock. So far, the Austria-based company has come out with two robots – a smaller prototype with a 40-inch arm and a larger robot with an 82-inch arm.

Users can switch out the type of digits at the end of each arm depending on what type of task they need the bot to perform. For example, an arm tip has the ability to cut, drill, sand and also use a suction feature to elevate heavy rocks into the proper location. Both types of robot can transport over one ton of material.

High–load capacity origami transformable wheel

Composite membrane origami has been an efficient and effective method for constructing transformable mechanisms while considerably simplifying their design, fabrication, and assembly; however, its limited load-bearing capability has restricted its application potential. With respect to wheel design, membrane origami offers unique benefits compared with its conventional counterparts, such as simple fabrication, high weight-to-payload ratio, and large shape variation, enabling softness and flexibility in a kinematic mechanism that neutralizes joint distortion and absorbs shocks from the ground. Here, we report a transformable wheel based on membrane origami capable of bearing more than a 10-kilonewton load. To achieve a high payload, we adopt a thick membrane as an essential element and introduce a wireframe design rule for thick membrane accommodation. An increase in the thickness can cause a geometric conflict for the facet and the membrane, but the excessive strain energy accumulation is unique to the thickness increase of the membrane. Thus, the design rules for accommodating membrane thickness aim to address both geometric and physical characteristics, and these rules are applied to basic origami patterns to obtain the desired wheel shapes and transformation. The capability of the resulting wheel applied to a passenger vehicle and validated through a field test. Our study shows that membrane origami can be used for high-payload applications.

Origami has been a rich source of inspiration for art, education, and mathematics, and it has proven to be an efficient and effective method for realizing transformable structures in nature (13) and artificial systems (48). Composite membrane origami, the design technique based on the laminar composition of flexible membranes with rigid facet constraints, opens a new field for robotics by the transition from component assembly to lamination, which considerably simplifies design, fabrication, and assembly. This transition simplifies and speeds up fabrication and enables reaching size scales that were difficult to access before (9, 10). In addition, membrane origami provides a versatile shape-changing ability that has been exploited in various applications (1115), and its applicability has been extended by additional design dimensions obtained from material characteristics such as softness and stretchability (1619).

Beyond the aforementioned benefits, origami has been an effective design tool for constructing a high payload-to-weight structure, such as a honeycomb panel, by markedly increasing the buckling strength using unique geometric configurations (20, 21). Combining this feature with reconfigurability, various stiffness transition mechanisms have also been introduced (2224). The rigidity of components is another important factor to secure high load capacity and closely related to the thickness. Origami design is, traditionally, a matter of organizing fold lines under fundamental and ideal assumptions—zero facet thickness and zero fold line width (2527). However, in response to growing interest in origami-inspired applications that require load-bearing capability, various thickness accommodation methods have been introduced (2830).

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