New-Tech Europe Magazine | June 2016

Latest News

is making specific driving decisions. Watson empowers Olli to understand and respond to passengers’ questions as they enter the vehicle, including about destinations (“Olli, can you take me downtown?”) or specific vehicle functions (“how does this feature work?” or even “are we there yet?”). Passengers can also ask for recommendations on local destinations such as popular restaurants or historical sites based on analysis of personal preferences. These interactions with Olli are designed to create more pleasant, comfortable, intuitive and interactive experiences for riders as they journey in autonomous vehicles. As part of Olli’s debut, Local Motors officially opened its new National Harbor facility in Maryland today to serve as a public place where co-creation can flourish and vehicle technologies can rapidly advance. The company’s 3D-printed cars are on display, along with a large-scale 3D printer and an interactive co-creative experience that showcases what the future of the nation’s capital might look like. STEM-centered programming is also being developed for the facility so that the public can learn more about 3D printing, sustainability, autonomous technology and get involved with Local Motors engineers and the company’s co-creation community. The very first Olli will remain in National Harbor this summer, and the public will be able to interact with it during select times over the next several months. The development of the cognitive rider experience in Olli is a collaboration between Local Motors and IBM Watson IoT’s AutoLAB, an industry-specific incubation engine for co-creation of cognitive mobility applications. Production of additional Ollies is taking place at Local Motors headquarters near Phoenix.

Rogers, Jr. introduces Olli, on Thurs., June 16, 2016 in Fort Washington, MD . Olli is the first self-driving vehicle to integrate the advanced cognitive computing capabilities of IBM Watson. The 12 passenger electric vehicle analyzes and learns from high volumes of transportation data and enables seamless interactions between the vehicle and passengers. (Rich Riggins/ Feature Photo Service for IBM) Local Motors Debuts Olli, First Self-Driving Vehicle to Integrate IBM Watson Local Motors CEO and co-founder John B. Rogers, Jr. introduces Olli, on Thurs., June 16, 2016 in Fort Washington, MD . Olli is the first self-driving vehicle to integrate the advanced cognitive computing capabilities of IBM Watson. The 12 passenger electric vehicle analyzes and learns from high volumes of transportation data and enables seamless interactions between the vehicle and passengers. (Rich Riggins/Feature Photo Service for IBM) Olli is the first vehicle to utilize the cloud-based cognitive computing capability of IBM Watson IoT to analyze and learn from high volumes of transportation data, produced by more than 30 sensors embedded throughout the vehicle. Using the Local Motors open vehicle development process, sensors will be added and adjusted continuously as passenger needs and local preferences are identified. Furthermore, the platform leverages four Watson developer APIs - Speech to Text, Natural Language Classifier, Entity Extraction and Text to Speech - to enable seamless interactions between the vehicle and passengers. Passengers will be able to interact conversationally with Olli while traveling from point A to point B, discussing topics about how the vehicle works, where they are going, and why Olli Leti, an institute of CEA Tech, said today its teams have demonstrated how Fully Depleted Silicon on Insulator (FDSOI) technology can be scaled downwards and how the experience in thin-film engineering built on FDSOI development can be harnessed for innovative architectures and computing paradigms. At the recent 2016 Symposia on VLSI Technology and Circuits, Leti reported how performance boosters can be successfully implemented on a short time scale to increase performance of next-generation FDSOI devices usingmaterial engineering and design/technology co-optimization. With its current performance and flexibility, the FDSOI platform can be extended to the 10nm node. Looking further ahead, thin-

Leti Extends CMOS Platforms’ Lifespan and Explores New Computing Paradigms film management expertise will be leveraged to design high- performance stacked nanowires.

Based on its expertise in CMOS technologies and thin-film integration, Leti also shared its latest results on CoolCubeTM high-density 3D integration. For the first time, 3D-via density above 10 million/mm² has been demonstrated and high CMOS FDSOI performance has been achieved within a low-temperature integration. CoolCubeTM, which powerfully leverages the benefits of the third dimension, provides designers with a wide range of design opportunities. Through extreme device scaling, Leti and Inac, a fundamental research division of CEA, are exploring the emerging quantum computing era with an extended use of

New-Tech Magazine Europe l 13