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Chinese semiconductor equipment makers like Naura Technology are capitalizing on a domestic capacity-building cycle and Western export bottlenecks, driving a shift to local suppliers for memory production. This trend, fu…
Inkfold, a new digital journaling app, integrates AI to help users reflect on past entries, but critics question whether it offers real value or is just another app. The app aims to make journaling a habit through an int…
A developer's MS thesis appendix explores Bayesian neural networks as a solution to underspecification in deep learning. The post covers methods like Monte Carlo dropout, Bayesian last layer approximation, and stochastic…
Bloomberg found that Phia, the AI shopping app founded by Phoebe Gates and Sophia Kianni, was hijacking other retailers' affiliate commissions through a practice called cookie stuffing. The browser extension secretly swa…
Mariana Souza published a practical guide for fine-tuning Qwen2.5-7B-Instruct using QLoRA on custom instruction datasets, including cost estimates and a loss-masking sanity check. The tutorial covers dataset preparation,…
AI systems are generating a dynamic, reactive open world for GTA 6, where weather, NPC interactions, and environmental damage persist and evolve without manual scripting. The technology, which already exists, could make …
A developer built nocando, a pre-flight environment-semantics linter for ML workloads that checks whether code is coherent with the declared hardware environment before occupying resources. The tool aims to prevent waste…
Cory Doctorow's latest Locus column introduces the concept of 'reverse centaurs' to explain the AI paradox, where some users find AI empowering while others experience it as a hellish ordeal. He illustrates this with the…
Reinforcement learning from verifiable rewards (RLVR) has proven effective for math and code tasks but fails for tool-using agents due to sparse terminal rewards. Researchers propose decomposing rewards into intermediate…
A new analysis of 921 occupations covering 148 million U.S. jobs predicts which roles will be automated or transformed by artificial intelligence, warning that predictable, repetitive jobs face existential threats while …
CLAP (Closed-Loop Agent Post-training) offers a structured method for post-training AI agents, but trials show modest gains and mixed results across manufacturing scenarios, with risks including high KL divergence and la…
Researchers developed a Dynamic Neural Graph Encoder (DNG-Encoder) and the INR2JLS model, which uses dynamic graphs to boost neural network classification accuracy by approximately 10% on the CIFAR-100-INR benchmark, pot…
SK Hynix is listing on the Nasdaq in a record $26.5 billion share sale to fund high-bandwidth memory production, betting that AI demand will break the semiconductor industry's historic boom-and-bust cycle. The move aims …
Artificial intelligence is transforming software development by enabling developers to generate code, identify bugs, and optimize applications through natural language prompts, significantly boosting productivity. AI cod…
Researchers have developed a method for human value detection in AI that incorporates Schwartz's circular motivational continuum, using a Schwartz-aware energy decoder to improve label coherence without sacrificing perfo…
Researchers have developed a method using AI and musculoskeletal simulations to generate synthetic IMU data, addressing data scarcity in movement analysis and improving classification accuracy for physiotherapy and sport…
Bayesian Invariant Prediction (BIP), a new probabilistic method for identifying stable features across environments, has been introduced to improve model generalization and scalability. The approach, including a variatio…
Researchers introduced CORA (Coherent Orthogonal Rotation Adaptation), a parameter-efficient fine-tuning method that uses orthogonal rotations and diagonal scaling to outperform existing approaches like LoRA with up to 8…
A study on OpenAI's GPT-5.2 found that temperature optimization can improve large language model agreement with human experts on Naranjo causality assessments in pharmacovigilance, with Bayesian optimization guided by th…
A new cross-attention Transformer model enhances Wi-Fi signal decoding by jointly processing uplink OFDM signals without explicit channel estimates, outperforming traditional methods and neural baselines in realistic tes…