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  • Illumina builds out C-suite with 2 new execs
    Artificial Intelligence in HealthCare

    Illumina builds out C-suite with 2 new execs

    ByFinance Mentor July 10, 2026

    Dive Brief: Illumina has named two executives to lead its commercial and legal affairs teams. Mike Sullivan will join Illumina as chief commercial officer on July 20 and Julie Coletti will join as chief legal officer starting Aug. 3, according to a Thursday announcement. The appointments come as Illumina’s sales have stabilized following a period…

    Read More Illumina builds out C-suite with 2 new execsContinue

  • From Connected Agents to Collective Intelligence
    Enterprise AI & Business

    From Connected Agents to Collective Intelligence

    ByFinance Mentor July 10, 2026

    This interview analysis is sponsored by Outshift by Cisco and was written, edited, and published in alignment with our Emerj sponsored content guidelines. Learn more about our thought leadership and content creation services on our Emerj Media Services page. ​ Agentic AI is running into the same wall across enterprises: agents drift, deadlock, and propagate…

    Read More From Connected Agents to Collective IntelligenceContinue

  • PySpark for Beginners: Building Intermediate-Level Skills
    Artificial Intelligence with Python

    PySpark for Beginners: Building Intermediate-Level Skills

    ByFinance Mentor July 10, 2026

    my first two articles in this series, you’ve already covered a lot of ground. You know how to create a SparkSession, load data into a DataFrame, define schemas, clean messy columns, join datasets, write Parquet files, and build simple PySpark workflows. I’ll put links to those articles in this series at the end of this…

    Read More PySpark for Beginners: Building Intermediate-Level SkillsContinue

  • Attention is all you profile
    Generative AI & LLMs

    Attention is all you profile

    ByFinance Mentor July 10, 2026

    The series “Profiling in PyTorch” is meant to make you comfortable reading profiler traces and tables. In Part 1 we profiled basic math operations like addition and multiplication. We saw how the profiler table uncovers hotspots, and how the profiler trace shows the order in which an algorithm runs over time. In Part 2 we…

    Read More Attention is all you profileContinue

  • Enhancing enterprise inference on Amazon SageMaker HyperPod with data capture, Hugging Face, NVMe, and Route 53 integration
    MLOps & AI Infrastructure

    Enhancing enterprise inference on Amazon SageMaker HyperPod with data capture, Hugging Face, NVMe, and Route 53 integration

    ByFinance Mentor July 10, 2026

    As enterprises scale their generative AI workloads, the demand for faster, more observable, and more flexible inference infrastructure continues to grow. Amazon SageMaker HyperPod is rising to meet that challenge with a set of new capabilities designed to streamline how organizations deploy and operate large models in production. Teams can now record inputs and outputs…

    Read More Enhancing enterprise inference on Amazon SageMaker HyperPod with data capture, Hugging Face, NVMe, and Route 53 integrationContinue

  • Roche, Eli Lilly, Novo, gene therapy, Hansoh: Readout Newsletter
    Artificial Intelligence in HealthCare

    Roche, Eli Lilly, Novo, gene therapy, Hansoh: Readout Newsletter

    ByFinance Mentor July 10, 2026

    Want to stay on top of the science and politics driving biotech today? Sign up to get our biotech newsletter in your inbox. ARPA-H has unveiled a $160 million effort to speed bespoke gene-editing therapies for rare diseases into the clinic. Meanwhile, Roche has abandoned two Huntington’s gene-silencing drugs after disappointing data, and drugmakers have stepped in to…

    Read More Roche, Eli Lilly, Novo, gene therapy, Hansoh: Readout NewsletterContinue

  • Bank of America’s Bernard Hampton
    Enterprise AI & Business

    Bank of America’s Bernard Hampton

    ByFinance Mentor July 10, 2026

    Today’s episode of the Me, Myself, and AI podcast, the final one of Season 13, explores how Bank of America is preparing a massive global workforce for an AI future through upskilling and reskilling. Bernard Hampton, head of the financial institution’s Academy, explains how the learning and development organization focuses on workforce agility and a…

    Read More Bank of America’s Bernard HamptonContinue

  • Exploring the Convergence of Artificial Intelligence and Neuroscience
    Artificial Intelligence with Python

    Exploring the TextAttack Framework: Components, Features, and Practical Applications

    ByFinance Mentor July 10, 2026

    Over the last few years, a growing interest has been in testing the adversarial robustness of natural language processing (NLP) models. The research in this area covers new techniques for generating adversarial examples and defending against them. Comparing these attacks directly is challenging because they are evaluated on different data and victim models. Replicating earlier…

    Read More Exploring the TextAttack Framework: Components, Features, and Practical ApplicationsContinue

  • OpenAI kills its Atlas browser after just eight months and folds everything into ChatGPT
    Generative AI & LLMs

    OpenAI kills its Atlas browser after just eight months and folds everything into ChatGPT

    ByFinance Mentor July 10, 2026

    OpenAI is already killing its AI browser Atlas, launched just last October 2025. Its features are moving into an updated Chrome extension that lets users run ChatGPT directly in Chrome’s sidebar. The company says it’s folding in what it learned from Atlas and user feedback. Atlas users will get notified about the switch. Separately, the…

    Read More OpenAI kills its Atlas browser after just eight months and folds everything into ChatGPTContinue

  • PyTorch logo
    MLOps & AI Infrastructure

    A PyTorch-Native Stack for Large-Scale LLM RL Post-Training – PyTorch

    ByFinance Mentor July 10, 2026

    Featured projects TL;DR Miles is RadixArk’s open source framework for large-scale LLM RL post-training. It composes SGLang for rollout, NVIDIA Megatron-LM for training, Ray orchestration, and PyTorch-native extensibility behind a small, pluggable trainer, with unified low-precision recipes, MoE-aware rollout/training alignment, fast NVIDIA NCCL/RDMA weight synchronization, observability, and fault tolerance built in — making frontier-scale LLM…

    Read More A PyTorch-Native Stack for Large-Scale LLM RL Post-Training – PyTorchContinue

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