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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

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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

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

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 new method can produce a hundredfold increase in light emissions from a type of electron-photon coupling, which is key to electron microscopes and other technologies.

Strengthening electron-triggered light emission

In this episode, we talk about about how an ant inspired robotics platform could be the future of swarm robotics due to its simple, affordable, flexible, and scalable nature.

Podcast: Ant Inspired Swarm Robots

The Industrial Revolution began in Britain sometime around 1760. It ushered in a period where coal-fired steam engines powered increased mechanization and productivity and transformed a largely agrarian society into a manufacturing one.

How Industrial IoT and ML are powering Industry 4.0

Deep-Learning technology helps industrial engineers with continuous improvement, line balancing, and optimizing manual labor.

Computer Vision for Industrial Engineers - Continuous Improvement

Exploring a new way to teach robots, Princeton researchers have found that human-language descriptions of tools can accelerate the learning of a simulated robotic arm lifting and using a variety of tools.

Words prove their worth as teaching tools for robots

#10 of our Voice of Innovation fireside chat series: Robotics and AI reporter Rachel Gordon speaks to Daniel Situnayake, a founder, engineer, and teacher, on what it means to run sophisticated machine learning algorithms on small devices at the edge of a network.

Fireside chat with Head of Machine Learning at Edge Impulse Daniel Situnayake

You've probably heard about the amazing capabilities of some recent AI models, such as GPT, AI21, or BLOOM. Perhaps you use one of these models yourself. Either directly, or through another product like Wordtune, YouWrite, Jasper – or ChatGPT. It turns out that while these models are trained on language data, they can be used for other applications as well. In my latest article, you can read more about applications in materials discovery, cybersecurity, and even building management.

Applying large-scale language models outside language: Examples from materials discovery, cybersecurity, and building management

EPFL researchers have teamed up with Dartfish and the Lausanne Hockey Club to push the boundaries of sports-performance analysis by applying computer vision and machine-learning technology to action on the ice.

Artificial intelligence deployed to enhance sports performance

with Xsens MVN Animate

Creating a Hollywood-style music video with a one-man team

Wevolver 2023