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  • All (21455) +1
    • AI (3224)
    • DevOps (962)
    • Software (11268)
    • IT (5948)
    • Education (52)
  • Notice
  • All (21455) +1
  • AI (3224)
  • DevOps (962)
  • Software (11268)
  • IT (5948)
  • Education (52)
  • Notice
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  • 3 weeks ago · it

    9to5Mac Daily: January 5, 2026 – Apple in January, iOS 27 rumors

    Listen to a recap of the top stories of the day from 9to5Mac. 9to5Mac Daily is available on iTunes and Apple’s Podcasts app, Stitcher, TuneIn, Google Play, or t...

    #Apple #iOS 27 #rumors #tech podcast
  • 3 weeks ago · ai

    [Paper] BEDS: Bayesian Emergent Dissipative Structures

    We present BEDS (Bayesian Emergent Dissipative Structures), a theoretical framework that unifies concepts from non-equilibrium thermodynamics, Bayesian inferenc...

    #research #paper #ai #computer-vision
  • 3 weeks ago · it

    Offshore wind developers sue Trump administration for halting $25B in projects

    The lawsuits seek to reverse the Department of the Interior's stop-work order which affected five offshore wind projects off the Eastern Seaboard....

    #it #startups #products
  • 3 weeks ago · it

    Anker Introduces Pre-Order Discounts on 2026 Nano Chargers, Alongside Big New Year's Sale

    Anker announced a new series of products at CES this week, and most of them will begin rolling out to customers later in January. A few of these devices, includ...

    #Anker #Nano Charger #pre-order discount #CES 2026 #hardware #gadgets #product launch #charging accessories
  • 3 weeks ago · ai

    [Paper] Hunting for 'Oddballs' with Machine Learning: Detecting Anomalous Exoplanets Using a Deep-Learned Low-Dimensional Representation of Transit Spectra with Autoencoders

    This study explores the application of autoencoder-based machine learning techniques for anomaly detection to identify exoplanet atmospheres with unconventional...

    #research #paper #ai #machine-learning
  • 3 weeks ago · ai

    [Paper] Environment-Adaptive Covariate Selection: Learning When to Use Spurious Correlations for Out-of-Distribution Prediction

    Out-of-distribution (OOD) prediction is often approached by restricting models to causal or invariant covariates, avoiding non-causal spurious associations that...

    #research #paper #ai #machine-learning
  • 3 weeks ago · it

    China’s top chip foundries move to consolidate as Beijing pushes semiconductor self-sufficiency — SMIC and Hua Hong Semiconductor deals pave the path to unified power

    China’s two largest pure-play foundries, SMIC and Hua Hong Semiconductor, are in the middle of significant consolidation efforts that demonstrate how industrial...

    #China #SMIC #Hua Hong Semiconductor #semiconductor #chip foundry #industry consolidation #self‑sufficiency #industrial policy
  • 3 weeks ago · it

    Android XR is Google’s advertising focus at CES 2026 [Video]

    In recent years, Google TV has been the company’s focus at the Consumer Electronics Show. That remains the case at CES 2026, but Google is also using the Las Ve...

    #Google #Android XR #CES 2026 #extended reality #AR/VR #advertising #Google TV #consumer electronics
  • 3 weeks ago · ai

    [Paper] Estimating Text Temperature

    Autoregressive language models typically use temperature parameter at inference to shape the probability distribution and control the randomness of the text gen...

    #research #paper #ai #nlp
  • 3 weeks ago · ai

    [Paper] Fusion2Print: Deep Flash-Non-Flash Fusion for Contactless Fingerprint Matching

    Contactless fingerprint recognition offers a hygienic and convenient alternative to contact-based systems, enabling rapid acquisition without latent prints, pre...

    #research #paper #ai #computer-vision
  • 3 weeks ago · it

    LG’s CLOiD robot can load the washer for you, slowly

    LG’s chore-completing robot made multiple cameos during the company’s CES keynote. LG's CLOiD robot took the stage at CES 2026 on Monday, offering our first loo...

    #LG #CLOiD #robotics #CES 2026 #smart home #home appliances #automation
  • 3 weeks ago · ai

    [Paper] DatBench: Discriminative, Faithful, and Efficient VLM Evaluations

    Empirical evaluation serves as the primary compass guiding research progress in foundation models. Despite a large body of work focused on training frontier vis...

    #research #paper #ai #machine-learning

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