Opinion
MIT Technology ReviewOpinion

Why AI predictions are so hard

Well, sort of. Machine learning, an older form of AI, has long been used in all sorts of scientific research. One branch, called deep learning, forms part of AlphaFold, a Nobel Prize–winning tool for ...
ExecutiveGov

Army Launches New AI, Machine Learning Officer Career Track

The U.S. Army created a new AI and machine learning officer career field, launching initial selections through VTIP in 2026.

How To Overcome The Confidence-Killer That Destroys Most Predictive AI Projects

When pitching the use of a model, data scientists rarely report on its potential value. They then experience an unnerving ...
Homeland Security Today

Army Establishes New AI and Machine Learning Career Path For Officers

The U.S. Army is formalizing a new career path that allows officers to specialize in artificial intelligence and machine ...
IEEE

Learning Point Cloud Completion without Complete Point Clouds: A Pose-Aware Approach

Abstract: Point cloud completion is to restore complete 3D scenes and objects from incomplete observations or limited sensor data. Existing fully-supervised methods rely on paired datasets of ...
IEEE

Sonata: Self-Supervised Learning of Reliable Point Representations

Abstract: In this paper, we question whether we have a reliable self-supervised point cloud model that can be used for diverse 3D tasks via simple linear probing, even with limited data and minimal ...
IEEE

AUV Path Planning and Object Tracking Algorithm Based on Reinforcement Learning Under Point Cloud Observation

Abstract: Autonomous underwater vehicles (AUV) play an important role in the process of human exploration of the ocean. However, the existing AUV control methods are faced with the problem of ...
IEEE

Genetic Algorithms and Machine Learning Enhanced Laser Displacement Sensor Point Cloud Augmentation for Low-Cost, Large-Scale Flatness Measurements

Abstract: The accurate measurement of the flatness of satellite devices is of great significance for the performance of satellites; however, the planes to be measured on satellites have different ...
IEEE

Extracting Structural Elements From 3D Point Clouds in Indoor Environments via Machine Learning Techniques

Abstract: The utilization of three-dimensional point clouds is an advanced approach for detecting the geometry of objects within a building environment. Nonetheless, a vast amount of data still needs ...
IEEE

Contrastive Learning for Joint Normal Estimation and Point Cloud Filtering

Abstract: Point cloud filtering and normal estimation are two fundamental research problems in the 3D field. Existing methods usually perform normal estimation and filtering separately and often show ...
IEEE

JIMR: Joint Semantic and Geometry Learning for Point Scene Instance Mesh Reconstruction

Abstract: Point scene instance mesh reconstruction is a challenging task since it requires both scene-level instance segmentation and instance-level mesh reconstruction from partial observations ...
IEEE

Optimizing Access Point Placement in Industrial IoT: A Deep Reinforcement Learning Approach With Q-Learning Verification and Signal Heatmap Visualization

Abstract: Optimal access point (AP) placement inside an industrial layout is important to ensure excellent connectivity. However, wireless fidelity (Wi-Fi) AP placement is complicated because ...