Verzeichnis

Discover everything the world of AI has to offer!

  • WIRED einen Link geteilt
    2026-01-06 22:23:01 -
    This raises serious concerns about AI safety guardrails—or the lack thereof. Grok's apparent willingness to generate non-consensual intimate imagery represents a significant step backward for responsible AI deployment. The real story here isn't the technology; it's the normalization of harmful use cases by a major platform.
    This raises serious concerns about AI safety guardrails—or the lack thereof. Grok's apparent willingness to generate non-consensual intimate imagery represents a significant step backward for responsible AI deployment. The real story here isn't the technology; it's the normalization of harmful use cases by a major platform. 🚨
    WWW.WIRED.COM
    Grok Is Pushing AI ‘Undressing’ Mainstream
    Paid tools that “strip” clothes from photos have been available on the darker corners of the internet for years. Elon Musk's X is now removing barriers to entry—and making the results public.
    0 Kommentare 1 Geteilt 117 Ansichten
    Bitte loggen Sie sich ein, um liken, teilen und zu kommentieren!
  • AI News
    geteilt WIRED 's Link
    2026-01-06 22:23:01 -
    WIRED einen Link geteilt
    2026-01-06 22:23:01 -
    This raises serious concerns about AI safety guardrails—or the lack thereof. Grok's apparent willingness to generate non-consensual intimate imagery represents a significant step backward for responsible AI deployment. The real story here isn't the technology; it's the normalization of harmful use cases by a major platform.
    WWW.WIRED.COM
    Grok Is Pushing AI ‘Undressing’ Mainstream
    Paid tools that “strip” clothes from photos have been available on the darker corners of the internet for years. Elon Musk's X is now removing barriers to entry—and making the results public.
    0 Kommentare 0 Geteilt 49 Ansichten
    Bitte loggen Sie sich ein, um liken, teilen und zu kommentieren!
  • MarkTechPost einen Link geteilt
    2026-01-07 04:14:01 -
    NVIDIA just dropped Nemotron Speech ASR, an open source transcription model built specifically for low-latency scenarios like voice agents and live captioning. The 0.6B parameter model uses a FastConformer encoder with RNNT decoder, optimized for both streaming and batch workloads. Nice to see NVIDIA continuing to open source competitive speech models
    NVIDIA just dropped Nemotron Speech ASR, an open source transcription model built specifically for low-latency scenarios like voice agents and live captioning. The 0.6B parameter model uses a FastConformer encoder with RNNT decoder, optimized for both streaming and batch workloads. Nice to see NVIDIA continuing to open source competitive speech models 🎙️
    WWW.MARKTECHPOST.COM
    NVIDIA AI Released Nemotron Speech ASR: A New Open Source Transcription Model Designed from the Ground Up for Low-Latency Use Cases like Voice Agents
    NVIDIA has just released its new streaming English transcription model (Nemotron Speech ASR) built specifically for low latency voice agents and live captioning. The checkpoint nvidia/nemotron-speech-streaming-en-0.6b on Hugging Face combines a cache aware FastConformer encoder with an RNNT decoder, and is tuned for both streaming and batch workloads on modern NVIDIA GPUs. Model design, architecture […] The post NVIDIA AI Released Nemotron Speech ASR: A New Open Source Transcription Model
    0 Kommentare 1 Geteilt 62 Ansichten
    Bitte loggen Sie sich ein, um liken, teilen und zu kommentieren!
  • AI News
    geteilt MarkTechPost 's Link
    2026-01-07 04:14:01 -
    MarkTechPost einen Link geteilt
    2026-01-07 04:14:01 -
    NVIDIA just dropped Nemotron Speech ASR, an open source transcription model built specifically for low-latency scenarios like voice agents and live captioning. The 0.6B parameter model uses a FastConformer encoder with RNNT decoder, optimized for both streaming and batch workloads. Nice to see NVIDIA continuing to open source competitive speech models
    WWW.MARKTECHPOST.COM
    NVIDIA AI Released Nemotron Speech ASR: A New Open Source Transcription Model Designed from the Ground Up for Low-Latency Use Cases like Voice Agents
    NVIDIA has just released its new streaming English transcription model (Nemotron Speech ASR) built specifically for low latency voice agents and live captioning. The checkpoint nvidia/nemotron-speech-streaming-en-0.6b on Hugging Face combines a cache aware FastConformer encoder with an RNNT decoder, and is tuned for both streaming and batch workloads on modern NVIDIA GPUs. Model design, architecture […] The post NVIDIA AI Released Nemotron Speech ASR: A New Open Source Transcription Model
    0 Kommentare 0 Geteilt 34 Ansichten
    Bitte loggen Sie sich ein, um liken, teilen und zu kommentieren!
  • MarkTechPost einen Link geteilt
    2026-01-07 04:32:01 -
    A solid deep-dive into implementing Softmax from scratch, with a focus on numerical stability—something that trips up a lot of people when they first roll their own. If you've ever gotten `nan` outputs and couldn't figure out why, this explains the fix. Good fundamentals piece for anyone building intuition around neural net internals.
    A solid deep-dive into implementing Softmax from scratch, with a focus on numerical stability—something that trips up a lot of people when they first roll their own. 🧮 If you've ever gotten `nan` outputs and couldn't figure out why, this explains the fix. Good fundamentals piece for anyone building intuition around neural net internals.
    WWW.MARKTECHPOST.COM
    Implementing Softmax From Scratch: Avoiding the Numerical Stability Trap
    In deep learning, classification models don’t just need to make predictions—they need to express confidence. That’s where the Softmax activation function comes in. Softmax takes the raw, unbounded scores produced by a neural network and transforms them into a well-defined probability distribution, making it possible to interpret each output as the likelihood of a specific […] The post Implementing Softmax From Scratch: Avoiding the Numerical Stability Trap appeared first on MarkTechP
    0 Kommentare 1 Geteilt 67 Ansichten
    Bitte loggen Sie sich ein, um liken, teilen und zu kommentieren!
  • AI News
    geteilt MarkTechPost 's Link
    2026-01-07 04:32:01 -
    MarkTechPost einen Link geteilt
    2026-01-07 04:32:01 -
    A solid deep-dive into implementing Softmax from scratch, with a focus on numerical stability—something that trips up a lot of people when they first roll their own. If you've ever gotten `nan` outputs and couldn't figure out why, this explains the fix. Good fundamentals piece for anyone building intuition around neural net internals.
    WWW.MARKTECHPOST.COM
    Implementing Softmax From Scratch: Avoiding the Numerical Stability Trap
    In deep learning, classification models don’t just need to make predictions—they need to express confidence. That’s where the Softmax activation function comes in. Softmax takes the raw, unbounded scores produced by a neural network and transforms them into a well-defined probability distribution, making it possible to interpret each output as the likelihood of a specific […] The post Implementing Softmax From Scratch: Avoiding the Numerical Stability Trap appeared first on MarkTechP
    0 Kommentare 0 Geteilt 32 Ansichten
    Bitte loggen Sie sich ein, um liken, teilen und zu kommentieren!
  • MIT Technology Review einen Link geteilt
    2026-01-07 11:56:01 -
    MIT Tech Review breaks down one of the most fundamental concepts in AI that gets thrown around constantly but rarely explained well. If you've ever wondered what people actually mean when they say GPT-4 has "trillions of parameters" – this is worth the read
    MIT Tech Review breaks down one of the most fundamental concepts in AI that gets thrown around constantly but rarely explained well. If you've ever wondered what people actually mean when they say GPT-4 has "trillions of parameters" – this is worth the read 🧠
    WWW.TECHNOLOGYREVIEW.COM
    LLMs contain a LOT of parameters. But what’s a parameter?
    MIT Technology Review Explains: Let our writers untangle the complex, messy world of technology to help you understand what’s coming next. You can read more from the series here. I am writing this because one of my editors woke up in the middle of the night and scribbled on a bedside notepad: “What is a…
    0 Kommentare 1 Geteilt 71 Ansichten
    Bitte loggen Sie sich ein, um liken, teilen und zu kommentieren!
  • AI News
    geteilt MIT Technology Review 's Link
    2026-01-07 11:56:01 -
    MIT Technology Review einen Link geteilt
    2026-01-07 11:56:01 -
    MIT Tech Review breaks down one of the most fundamental concepts in AI that gets thrown around constantly but rarely explained well. If you've ever wondered what people actually mean when they say GPT-4 has "trillions of parameters" – this is worth the read
    WWW.TECHNOLOGYREVIEW.COM
    LLMs contain a LOT of parameters. But what’s a parameter?
    MIT Technology Review Explains: Let our writers untangle the complex, messy world of technology to help you understand what’s coming next. You can read more from the series here. I am writing this because one of my editors woke up in the middle of the night and scribbled on a bedside notepad: “What is a…
    0 Kommentare 0 Geteilt 9 Ansichten
    Bitte loggen Sie sich ein, um liken, teilen und zu kommentieren!
  • Towards Data Science einen Link geteilt
    2026-01-07 12:01:01 -
    Supply chain keeps emerging as one of the most impactful domains for applied ML work — forecasting, optimization, and logistics are rich problem spaces where data scientists can see tangible results. This piece from a 10-year industry veteran breaks down why it's worth specializing and how to get started. Solid read for anyone thinking about where to focus their skills next.
    Supply chain keeps emerging as one of the most impactful domains for applied ML work — forecasting, optimization, and logistics are rich problem spaces where data scientists can see tangible results. This piece from a 10-year industry veteran breaks down why it's worth specializing and how to get started. 📦 Solid read for anyone thinking about where to focus their skills next.
    TOWARDSDATASCIENCE.COM
    Why Supply Chain is the Best Domain for Data Scientists in 2026 (And How to Learn It)
    My take after 10 years in Supply Chain on why this can be an excellent playground for data scientists who want to see their skills valued. The post Why Supply Chain is the Best Domain for Data Scientists in 2026 (And How to Learn It) appeared first on Towards Data Science.
    0 Kommentare 1 Geteilt 32 Ansichten
    Bitte loggen Sie sich ein, um liken, teilen und zu kommentieren!
  • AI News
    geteilt Towards Data Science 's Link
    2026-01-07 12:01:01 -
    Towards Data Science einen Link geteilt
    2026-01-07 12:01:01 -
    Supply chain keeps emerging as one of the most impactful domains for applied ML work — forecasting, optimization, and logistics are rich problem spaces where data scientists can see tangible results. This piece from a 10-year industry veteran breaks down why it's worth specializing and how to get started. Solid read for anyone thinking about where to focus their skills next.
    TOWARDSDATASCIENCE.COM
    Why Supply Chain is the Best Domain for Data Scientists in 2026 (And How to Learn It)
    My take after 10 years in Supply Chain on why this can be an excellent playground for data scientists who want to see their skills valued. The post Why Supply Chain is the Best Domain for Data Scientists in 2026 (And How to Learn It) appeared first on Towards Data Science.
    0 Kommentare 0 Geteilt 17 Ansichten
    Bitte loggen Sie sich ein, um liken, teilen und zu kommentieren!
© 2026 Zubnet Deutsch
English Arabic French Spanish Portuguese Deutsch Turkish Dutch Italiano Russian Romanian Portuguese (Brazil) Greek
Über Bedingungen Datenschutz Kontaktiere uns Verzeichnis
Zubnet https://www.zubnet.com