Four-Layer AI Shield Brings Near-Real-Time Phishing Defense to Android Phones
A new multilayered machine learning framework combines URL, message, app and network analysis with adaptive user training to detect Android ...
A new multilayered machine learning framework combines URL, message, app and network analysis with adaptive user training to detect Android ...
A new research collection spanning tactile arrays, sim-to-real tactile learning, LiDAR-camera calibration, structured visual reasoning and virtual social touch shows ...
Researchers have introduced RAPBS, a reliability-aware framework that places bidirectional service function chains in mobile edge computing using backup estimation, ...
An enhanced asynchronous actor-critic framework trained in simulation and on a physical mobile robot showed faster convergence, higher throughput, and ...
A new review of thirty studies finds artificial intelligence showing strong potential across minimally invasive vascular surgery, from risk prediction ...
A new AI called Ataraxos achieved the first superhuman result in Stratego while using a fraction of the compute and ...
A new reinforcement learning method called FA-PPO was the only tested algorithm to complete simulated UAV obstacle-avoidance tasks across three ...
A hybrid framework that lets a Proximal Policy Optimization agent switch among six search strategies cut simulated urban vehicle waiting ...
WeanNet progressively withdraws a parent network’s lateral influence from a student, improving adaptation in a controlled concept-drift task while enabling ...
Machine-learning optimization led to three printed silk fibroin ionic conductors that generated distinct spatial resistance patterns during cyclic joint flexion.
A simulation-only manufacturing controller reduced emissions by 24.0% versus a benchmark while achieving mean resilience of 0.875, but exceeded the ...
A decision-making study of 520 adults found no overall difference in reduced successor-representation use between high- and low-risk drinkers, while ...
A YOLOv5-LiDAR basketball-robot system achieved 97.85% detection accuracy and high task-success rates in controlled dataset evaluations and simulations, with extreme ...
A wind-tunnel reinforcement-learning system reduced drag and saved energy in a turbulent bluff-body wake, outperforming model-based baselines two to fourfold.
A Chalmers University modelling study combined Bayesian forecasts with transparent optimisation to coordinate large self-driving electric taxi fleets under uncertain ...
A cloud-native agentic AI framework combining reinforcement learning, large-language-model artifact generation and policy-as-code controls achieved 91.4% mean resolution success across ...
A reinforcement-learning method combining contraction theory was tested in simulation and on three robot platforms, providing stability guarantees and improving ...
A multi-objective reinforcement-learning system reduced cobot trajectory error, collisions, cycle time, and energy use in a controlled simulation benchmark, while ...
A new cloud-edge framework transmits only a losslessly compressed ControlNet condition instead of the raw reference image, cutting uplink payloads ...
A new open-access cross-domain review maps how the same AI algorithms recur across IoT security, network routing, computer vision, and ...
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