What We Can Learn From Waymo’s California AV Data

Engineers can leverage artificial intelligence (AI) as a creative partner, provided that critical thinking and sound judgment remain central in an era increasingly dominated by automation. This approach emphasizes the importance of human oversight in the integration of AI technologies within engineering education.

CompTrack is a novel framework designed for 3D single object tracking in LiDAR point clouds, addressing challenges posed by spatial and informational redundancy. By utilizing a Spatial Foreground Predictor to filter background noise and an Information Bottleneck-guided Dynamic Token Compression module to enhance efficiency, CompTrack aims to improve the accuracy and performance of existing tracking systems in autonomous driving applications.

A California housing dispute has drawn attention after allegations surfaced that lawyers presented a deepfake video as witness testimony. Judge Victoria Kolakowski expressed skepticism about the video, noting the witness's monotone voice, unclear facial features, and repetitive expressions. This led to the dismissal of the lawsuit on two occasions.

Ainekko has acquired the intellectual property of the struggling startup Esperanto and has announced that it will open-source this technology. This move raises questions about whether this is the first instance of RTL design being fully attempted in an open-source manner.

WeEn has launched a 2000V rectifier, a specialized diode designed for converting AC to DC in high-voltage electrical systems. This rectifier allows current to flow in one direction while blocking it in the reverse, making it suitable for applications requiring high voltage conversion.

WeEn Semiconductors has launched TOLT and TSPAK top-side cooling packages specifically designed for SiC MOSFETs and Schottky barrier diodes. These innovative packages aim to enhance the thermal management of these semiconductor devices.

D-Wave has increased its quantum computer sales and announced new achievements in quantum supremacy.

The study introduces the Mobility-Aware Transformer-Message Passing Neural Network (MAT-MPNN) model, designed to enhance the prediction of HIV diagnosis rates across California, Florida, and New England. This model addresses the limitations of traditional Message Passing Neural Networks, which rely on fixed binary adjacency matrices that fail to capture interactions between non-contiguous regions. By integrating a Transformer encoder for temporal features and a Mobility Graph Generator for spatial relationships, MAT-MPNN aims to improve forecasting accuracy in HIV diagnoses.