The daily radar on models, frameworks, and hardware to run AI locally. LLMs, LangChain, Chroma, mini-PCs, and everything you need for a distributed "in-house" brain.
AI-generated articles from feeds, with space for human editorial layer above the raw content.
Cinebench 2026 is out and ready to hammer CPUs and graphics cards six times as hard
Lisuan, a Chinese company, has announced the availability of its first 6nm GPUs, which could significantly impact the global technology scene, particularly in the graphics device market.
TSMC begins quietly volume production of 2nm-class chips — first GAA transistor for TSMC claims up to 15% improvement at ISO power
China drafts world’s strictest rules to end AI-encouraged suicide, violence
Meta has announced the integration of ChatGPT with various services to offer a more comprehensive user experience. You can now use ChatGPT directly within platforms like Spotify, Canva, and Figma.
The Taiwanese company TSMC has seen a 15% increase in wafer prices every year since 2019, with experts attributing this to the company's dominant position in the high-tech market.
A former Samsung engineer has been accused of betraying his ex-employer by revealing sensitive information about the company's 10nm DRAM production processes to a Chinese memory technology firm.
Investors predict a significant increase in business AI adoption in the next year, citing LLMs as a key factor in achieving this goal. They also emphasize the importance of budget and sustainability in implementing AI.
Boost your targeting skills with a mechanized mousepad-driven aim assist system
A Reinforcement Learning Approach to Synthetic Data Generation
A new framework, DeepCQ, has been presented to predict the quality of compression. It offers a generalizable solution for various applications and compression technologies.
kooplearn is a machine-learning library that implements linear, kernel, and deep-learning estimators of dynamical operators and their spectral decompositions.
COMETH, a new framework, integrates probabilistic contextual learning with LLM-based semantics and human moral evaluations to model how context influences moral action perception.
LogicLens: a unified framework for Visual-Textual Co-reasoning that addresses the challenges of text-centric forgery analysis
Leash: Adaptive Length Penalty and Reward Shaping for Efficient Large Reasoning Model
A new approach to psychological analysis is being explored using large language models like Llama. This involves the use of multi-agent collaboration, cosine similarity, and computational psychology to enhance artificial intelligence.
Large language models have become increasingly popular but are often used incorrectly. A new study analyzes why this happens and how to teach models their errors.
Large reasoning models (LRMs) have been developed using reinforcement learning with verifiable rewards (RLVR) to enhance their reasoning abilities. A new study has explored how different sample polarities affect RLVR training dynamics and behaviors. The results show that positive samples sharpen existing correct reasoning patterns, while negative samples encourage exploration of new reasoning paths. The work proposes a new token-level Advantage shaping method, A3PO, which improves the precision of advantage signals to key tokens across different polarities.
Gamayun is a new multilingual LLM model that has gained attention for its innovative pre-training strategy, achieving impressive results despite having a smaller training budget than competitors.
A unified theory of illusion has been developed, providing a common framework for evaluating model performance and distinguishing between different types of errors.
Meta has announced the creation of dUltra, a new learning framework to improve diffusion model performance. This new approach uses reinforcement learning to optimize parallel decoding.
Physics-Informed Neural Solvers for Periodic Quantum Eigenproblems
A new study explores how large language models can help understand and resolve complex conflicts. Researchers have developed a new approach to analyze disputes and identify feasible strategies.
A new method for conflict analysis has been developed by separating the alliance and conflict functions. This approach can help to better understand the relationships between agents and issues at stake.
Research teams from the University of Pennsylvania and the University of Michigan have developed fully programmable, autonomous robots 'smaller than a grain of salt'. Researchers expect these new micron-scale robots to be used in medicine, microscale manufacturing, and other areas
OpenAI seeks new Head of Preparedness
Players of Rainbow Six Siege have been targeted by hackers who have made the game's online services unusable. Players have received billions of credits and exclusive items, while Ubisoft has had to take drastic measures to protect its community.
Zephyr GPU manufacturer confirms dead RDNA 2 GPU chips
The modding community is exploring new possibilities with the Nvidia RTX 5080. While this GPU may improve specific performance, its implications for gamers seeking a smooth gaming experience are unclear.
OpenAI is integrating sponsored content into ChatGPT's responses, a new advertising strategy within the platform.
Some Japanese shops start rationing GPUs
User reports Nvidia GeForce RTX 5090 power connector reportedly caught fire despite using original cable
The world of technology is expected to see significant changes in the coming year, with artificial intelligence models playing a key role.
Asus denies entering the memory market within six months
La Cina controlla gran parte delle catene di approvvigionamento delle batterie, una preoccupazione che sta diventando sempre più critica per le forze armate statunitensi e le iniziative di intelligenza artificiale.
Intel has introduced a new type of multi-chiplet package that surpasses the size of the largest AI processors by 12 times, utilizing advanced technologies like HBM5 and SRAM 14A/18A.
Elon Musk claims that xAI will have more computing power than everyone else combined within five years
Swiss scientists have demonstrated the use of lobster tails as robotic appendages. This innovation combines food waste with synthetic components, bringing a new frontier to sustainable robotics.
A user received two boxes of expensive Samsung 9100 Pro SSDs, worth over $5,100, due to Amazon's packaging error. The situation has been described as a 'Christmas miracle' amidst the ongoing component crisis.
Meta has announced the launch of its new AI-assisted healthcare model, Erkang-Diagnosis-1.1. The model combines a hybrid approach with pre-training and return generation to create a secure, reliable, and professional AI health advisor.
Researchers have developed MicroProbe, a new technology that enables reliability assessment of foundation models using only minimal data.
Researchers have developed a new technology that enables language models to better understand context and relationships between concepts. This innovation could revolutionize the approach to text comprehension problems.
Researchers have developed a new framework that combines AI with quantum physics to optimize 6G network management. The approach, called QI MARL, promises significant improvements in scalability and efficiency.
Artificial Intelligence is revolutionizing smart home lighting optimization. The new BitRL-Light model combines Llama with the Deep Q-Network to optimize energy consumption and improve user comfort.
Google allows users to change their Gmail address without creating a new account
A Texas energy startup proposes repurposing retired U.S. Navy nuclear reactors for use in AI data centers
Chinese chipmaker SMIC raises wafer prices by about 10% as memory demand tightens capacity
The Corsair RM850x SHIFT is an innovative power supply that relocates modular connectors to the chassis side for superior cable management. It delivers Cybenetics Platinum efficiency under a Gold-level marketing badge, making it suitable for builders willing to verify case compatibility.
Latest Linux benchmarks on Qualcomm Snapdragon X Elite show significant regressions, similar to Intel Tiger Lake chips five years ago
A Taiwanese company has released a new pre-paid cash card that resembles a floppy disk, sparking nostalgia for the old technology.
La valutazione dei grandi modelli linguistici (LLM) si basa pesantemente su benchmarks standardizzati. Questi benchmarks offrono metriche aggregate utili per una data capacità, ma queste metriche aggregate possono nascondere (i) aree particolari dove i modelli sono deboli ('lacune del modello') e (ii) distorsioni nella copertura dei benchmark stessi ('lacune del benchmark'). Presentiamo un nuovo metodo che utilizza autoencoditori sparsi (SAEs) per scoprire automaticamente entrambi tipi di lacuna. Sfruttando le attivazioni concettuali degli SAE e calcolando i punteggi dei prestazioni salienza-weighted in base a dati benchmark, il metodo pone l'evaluzione sulle rappresentazioni interne del modello ed permette una comparazione tra i benchmarks.
Predicting treatment outcomes for lung cancer remains a challenge due to the sparsity, heterogeneity, and information overload of real-world electronic health data.
This study proposes a multi-agent language framework that enables continual strategy evolution without fine-tuning the language model's parameters. The core idea is to liberate the latent vectors of abstract concepts from traditional static semantic representations, allowing them to be continuously updated through environmental interaction and reinforcement feedback.
A recent study analyzes the stability of transformer-based sentiment models on their ability to adapt to temporal changes in social media flows. The results show significant model instability with accuracy drops reaching 23.4% during event-driven periods. The author proposes four new drift metrics validated on 12,279 authentic social media posts, achieving promising results for production deployment.
A new approach for creating more realistic user simulators that enhance the safety and effectiveness of mental health support chatbots.
The X company has announced today the launch of SA-DiffuSeq, a new approach for long document generation that addresses computational and scalability challenges. The new framework integrates sparse attention to improve sampling efficiency and precision in long-range dependency modeling.
Un nuovo approccio per i modelli neurali controllati differenziali (Neural CDEs) potrebbe rivoluzionare il campo dell'intelligenza artificiale. Questo metodo, che richiede molto meno parametri rispetto agli attuali modelli, offre una soluzione innovativa per analizzare sequenze temporali.
A recent study examined the behavior of large language models in mathematics education compared to expert human tutors. The results show that these models have a similar level of pedagogical quality as experts but use different teaching strategies and linguistic approaches.
A new platform, TokSuite, has been created to study the role of tokenizers in improving LLM models. This technology allows researchers to delve deeper into the impact of tokenizers on model performance.
Recently discovered spurious forgetting is a fundamental challenge for language models. Continual learning is a technique that enables models to adapt to new information, but spurious forgetting can lead to performance degradation.
AI-Radar is an independent observatory covering AI models, local LLMs, on-premise deployments, hardware, and emerging trends. We provide daily analysis and editorial coverage for developers, engineers, and organizations exploring local AI solutions.
