Brain-computer training sharpens detection of tiny movement errors in five days

The brain uses visual cues to coordinate muscle movement. When motor commands and sensory feedback are out of alignment, ...

HHS Is Using AI to Flag Hospitals for Medicaid Enforcement – and No One Published the Error Rate

HHS's AERO uses AI to flag hospitals and grantees for Medicaid enforcement with no published error rate or validation study ...
Hackaday

Picking A CRC

You send a file, but how do you know it arrived intact? In other words, how do you know that it didn’t get cut off, garbled, or changed somehow? Simplistically, you could just add up all the bytes in ...
C&EN

Leveraging Deep Learning to Address Diagnostic Challenges with Insufficient Image Data

Creative Commons (CC): This is a Creative Commons license. Attribution (BY): Credit must be given to the creator. In recent AI-driven disease diagnosis, the success of models has depended mainly on ...
Europe PMC

Intrusion Detection System CAN-Bus In-Vehicle Networks Based on the Statistical Characteristics of Attacks.

For in-vehicle network communication, the controller area network (CAN) broadcasts to all connected nodes without address validation. Therefore, it is highly vulnerable to all sorts of attack ...
Frontiers

SeekFusion - A Clinically Validated Fusion Transcript Detection Pipeline for PCR-Based Next-Generation Sequencing of RNA

Detecting gene fusions involving driver oncogenes is pivotal in clinical diagnosis and treatment of cancer patients. Recent developments in next-generation sequencing (NGS) technologies have enabled ...
IEEE

Energy Efficient, Hamming Code Technique for Error Detection/Correction Using In-Memory Computation

Abstract: In this work, for the first time, we have proposed and implemented the In-memory computation (IMC) of Hamming code for redundant bit generation(encoding ...