Connected toys and kids’ privacy; India’s tech highlights; autonomous trucking.
Synopsys’ Taylor Armerding digs into the privacy and security concerns surrounding connected toys and argues that the current practice of consumers bearing much of the burden to determine what is safe is not viable.
In a podcast, Mentor’s John McMillan looks back at the past decade in technology and what the next may hold in store as areas like AI and automotive get going.
Cadence’s Madhavi Rao highlights some of the biggest achievements in India’s tech industry in 2019 and why the country gained the spot of third largest start-up ecosystem in the world.
ANSYS’ Sandeep Sovani explains why autonomous driving is different when applied to heavy tractor-trailers than when used by consumer autos and why those aspects, like the preponderance of highway driving, means they will be on the road much sooner.
Intel’s Shashi Jain and Griffin Macaloon highlight several recent AI research initiatives, from mapping the surface of the moon for potential future lunar settlers to predicting the impact of flooding on Earth, using a myriad of data from different sources.
SEMI’s Emmy Yi points to efforts to expand the semiconductor ecosystem in Hsinchu City, Taiwan.
Arm’s Antonio Priore explains the steps the company is taking to improve functional safety and why the burden of uncovering design bugs cannot be left to verification activities alone.
Nvidia’s Isha Salian points to a new effort to improve earthquake prediction by using deep learning models to identify geologic fault systems from 3D seismic images, spotting small, subtle faults typically missed by human geologists.
NXP’s Arnaud Van Den Bossche looks at the role of open source in developing an autonomous driving software stack.
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