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If you talk to the co-founders of Campus startup Autoscriber, they will tell you the biggest revolution in healthcare will be data-driven. “The moment you talk to your doctor and say, ‘I have a headache,’ artificial intelligence will start to mine your whole medical history. It will compare it to other people with your genetic background to calculate what is the most likely diagnosis,” said Koen Bonenkamp, one of two Autoscriber co-founders. This is the company’s vision behind its software.

Autoscriber: Using AI to create personalized healthcare


Alif Semiconductor’s™ microcontrollers meet the market need for low-power, AI-enabled embedded solutions with unmatched levels of multi-layered security, and a fully integrated secure element.

How cutting-edge microcontrollers build security from the ground up

Case study

3D scanning and robotic manipulation of very thin objects such as wiring harnesses by the Department of Electrical, Electronic and Information Engineering at the University of Bologna.

3D scanning of wiring harnesses for automotive components


In this episode, we talk about a research study from MIT that estimates the carbon emissions associated with autonomous vehicles will match that currently produced by all of the data centers in the world along with how to address it.

Podcast: Mitigating High Emissions of Autonomous Cars

EPFL researchers have combined low-power chip design, machine learning algorithms, and soft implantable electrodes to produce a neural interface that can identify and suppress symptoms of various neurological disorders.

A neuro-chip to manage brain disorders

Carnegie Mellon University’s College of Engineering is equipping next generation engineers with the ability to integrate AI into the constraints of the engineering problem by way of seven new master’s degrees in AI Engineering.

AI Engineering will change the world around us

A startup based on Princeton research is rethinking the computer chip with a design that increases performance, efficiency and capability to match the computational needs of technologies that use artificial intelligence (AI). Using a technique called in-memory computing, the new design can store data and run computation all in the same place on the chip, drastically reducing cost, time and energy consumption in AI computations.

EnCharge AI reimagines computing to meet needs of cutting-edge AI

Artificial intelligence provides new evidence our planet will cross the global warming threshold of 1.5 degrees Celsius within 10 to 15 years. Even with low emissions, we could see 2 C of warming. But a future with less warming remains within reach.

AI predicts global warming will exceed 1.5 degrees in 2030s


Trustworthy and reliable applications are fueling the worldwide IoT success story. This article explains why protecting IoT edge devices is crucial in an environment with threats on the rise.

IoT needs trust: The current state of IoT security

A dive into how AI is helping overcome limitations with current prosthetics by offering improved signal decoding, functionality and more intuitive control.

How AI is Helping Power Next-Generation Prosthetic Limbs

Study shows that if autonomous vehicles are widely adopted, hardware efficiency will need to advance rapidly to keep computing-related emissions in check.

Computers that power self-driving cars could be a huge driver of global carbon emissions

Using artificial intelligence, Cornell engineers have simplified and reinforced models that accurately calculate the fine particulate matter (PM2.5) – the soot, dust and exhaust emitted by trucks and cars that get into human lungs – contained in urban air pollution.

AI improves detail, estimate of urban air pollution

Case study

Fast localization and picking of multiple objects with Photoneo's Locator Studio for 3D picking in collision-free environments, PhoXi 3D Scanner, and a universal gripper.

Fast localization & picking of multiple objects

A novel combination of artificial intelligence and production techniques could change the future of nanomedicine, according to Cornell researchers using a new $3 million grant from the National Science Foundation to revolutionize how polymer nanoparticles are manufactured.

Engineers to advance nanomedicine manufacturing using AI

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