Products released at this year's meeting covered a broad range of applications from sustainable labware to protein assays to instruments.

In a new study published in Physical Review Letters, researchers used machine learning to discover multiple new classes of ...

Lithium-ion batteries have become the quiet workhorses of the energy transition, but the way they are designed and tested has ...

TinyML sensors detect chainsaws, gunshots, and animal calls offline, offering a new way to protect wildlife in remote ...

Abstract: As technology advances, the use of Machine Learning (ML) in cybersecurity is becoming increasingly crucial to tackle the growing complexity of cyber threats. While traditional ML models can ...

Ceva, Inc. has extended its Ceva-NeuPro family of edge AI NPUs with the launch of Ceva-NeuPro-Nano. These highly-efficient NPUs claim the power, performance and cost efficiencies needed to integrate ...

Abstract: Machine learning has emerged as a promising avenue for enhancing the efficiency and intelligence of channel allocation processes. However, deploying machine learning algorithms on ...

We previously tested Edge Impulse machine learning platform showing how to train and deploy a model with IMU data from the XIAO BLE sense board relatively easily. Since then the company announced ...

You might be under the impression that machine learning costs thousands of dollars to work with. That might be true in many cases, but there’s more to machine learning than you might think. For ...