Archives for December 18, 2018

The Future is Female: Women’s Solidarity Through Art Exhibition at Teaching Museum Lehigh University

December 18, 2018 by David Edwards

Promoted

“Its man’s world”, James Brown sang in 1966 but this announcement has been faded in the winds over the past year time. Women are now prominent and appeared as iconic role models of the society. Women’s liberation, women’s rights, and women’s stories in US and all over the world are up front.

The #MeToo, #BringBackOurGirls, #YesAllWomen, #WomensReality, #NoMore, #IAmWithHer, #ToTheGirls and #TimesUp movements featuring feminism are not they enabled women to keep talking up about issues of sexual harassment and assault.

There are a record number of women running political and Government offices in the world. However, women are being commended in every field and department of life, still there is much work remains to be done. [Read more…] about The Future is Female: Women’s Solidarity Through Art Exhibition at Teaching Museum Lehigh University

New Ansible Motion simulator ‘helps car makers understand how human drivers will interact with autonomous cars’

December 18, 2018 by Sam Francis

Ansible Motion has launched a new simulator to help car makers “better understand how drivers will cope with and respond to the rising number of driver assistance and autonomous automotive technologies”.

The latest iteration of Ansible Motion’s multi-million-pound Delta Driver-in-the-Loop simulator provides a safe and repeatable laboratory environment to test and validate the myriad advanced driver assistance systems that are increasingly being fitted, or proposed, to new cars.

With the driver assistance systems market set to grow to $70 billion by 2024, fuelled by vehicle manufacturers pushing toward increasing levels of autonomy to address emerging legislation, the issue of how real people might react to a car receiving more notifications – or even taking control – is one that car makers are investigating seriously. [Read more…] about New Ansible Motion simulator ‘helps car makers understand how human drivers will interact with autonomous cars’

RightHand Robotics raises $23 million in Series B funding

December 18, 2018 by David Edwards

RightHand Robotics, a provider of integrated robotic piece-picking solutions, has secured $23 million in a Series B funding round led by Menlo Ventures, an active investor in the robotics sector.

GV, formerly Google Ventures, also joined this round along with existing investors, including Dream Incubator, Matrix Partners, and Playground Global.

RHR intends to use the funds to expand business and technical teams and broaden its suite of product applications in support of the company’s growing customer base. [Read more…] about RightHand Robotics raises $23 million in Series B funding

Sick Sensors partners with Canadian university to develop advanced manufacturing knowledge

December 18, 2018 by Sam Francis

Humber College and Sick Sensors are entering into a three-year partnership agreement designed to build awareness of new industry automation sensor solutions and Industry 4.0 ready sensor technologies.

Sick will provide sensor technologies and services worth $765,000, new training opportunities for Humber students and dedicated support through new scholarships called the “Sick Canada Leadership & Vision Awards”.

Sick is now a founding member of Humber’s Advanced Manufacturing Skills Consortium, a group comprised of industry partners working with the college to train students and employees of Canadian companies within the new Barrett Centre for Technology Innovation. [Read more…] about Sick Sensors partners with Canadian university to develop advanced manufacturing knowledge

NXP to support Open Neural Network Exchange format

December 18, 2018 by Anna

NXP Semiconductors is to support the Open Neural Network Exchange (ONNX) format within its edge intelligence environment (eIQ).

NXP’s eIQ is a comprehensive machine learning (ML) toolkit that helps original equipment manufacturers (OEMs) balance performance needs and system cost when deploying neural networks and their associated inference engines at the edge.

ONNX is an open standard for representing deep learning models that enables trained models to be transferred between existing Artificial Intelligent (AI) frameworks.