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Python has become the default language for data-intensive work, AI applications and internal tooling, creating a new hosting problem that is fundamentally a data architecture question. For apps involving governed data, m…
Google Research introduced TabFM, a foundation model that treats tabular data predictions as an in-context learning problem, enabling predictions via a simple API call without traditional model training. The model reduce…
Researchers at the University of Osaka used artificial intelligence to evaluate structural descriptors of supercooled water, identifying the most effective ways to distinguish between high-density and low-density liquid …
CISOned Opinions reports a rise in social engineering attacks targeting AI agents powered by large language models, coining the term 'SociaLLM Engineering' to describe manipulation of LLM-based systems into unauthorized …
OpenScience, a new open-source AI workbench built primarily in TypeScript, has gained over 2,167 stars on GitHub. The project aims to provide a collaborative environment for scientific research, leveraging AI tools to st…
Researchers introduced VTC, a tensor compilation framework that eliminates unnecessary data movement in deep neural networks by using virtual tensors and index mappings. VTC outperforms existing ML compilers by up to 1.9…
A computer engineer argues that the true complexity of AI lies not in model architecture but in the underlying data pipeline, storage, and compute infrastructure, which consumes 80% of time and 90% of budget. The piece d…
Fine-tuning adapts a pretrained large language model to a specific task using task-specific data, building on the general language understanding learned during pretraining. Pretraining teaches a model to predict the next…
Bryan Oliver, a Thoughtworks Radar contributor and author, presented on chaos engineering for GPU clusters at a recent event, highlighting the complexity and scale of modern AI hardware such as NVIDIA H100 and GB200 Grac…
Stilta, a Stockholm-based legal AI startup founded by former McKinsey and QuantumBlack engineers, raised $10.5 million in seed funding led by Andreessen Horowitz to deploy AI agents for patent litigation, focusing on evi…
A commentator argues that artificial intelligence should be nationalized because the technology was built using the collective work of humanity and poses a massive social and economic liability. The author contends that …
A developer warns that enterprise data pipelines are often more fragile than they appear, with schema changes, data volume spikes, and upstream delays causing cascading failures. The post emphasizes that reliability and …
Security leaders are spending billions on AI-driven cybersecurity tools, but most performance issues stem from fragmented data pipelines and schema drift rather than flawed detection models. Gartner projects that through…
The Apache data lakehouse community focused on governance this week, with Parquet voting on versioned releases and Polaris aligning with the incubating Ossie semantics project. Iceberg Rust released RC3 after verificatio…
Researchers at the University of Osaka used an AI model trained on computer simulations to evaluate 16 structural descriptors of supercooled water, identifying the most effective ways to distinguish between its two compe…
Enterprise analytics platform evaluations should focus on architecture decisions rather than dashboard comparisons, according to a Databricks blog post. The post argues that unified platforms combining data, analytics, A…
Researchers at Michigan State University found that AI programs designed to detect alien biosignatures can be fooled 100% of the time by small changes in data, highlighting a serious vulnerability that could affect space…
Microsoft AI CEO Mustafa Suleyman predicted in February 2026 that AI would achieve human-level performance on most professional tasks within 12-18 months, while Salesforce CEO Marc Benioff revealed that AI agents now han…
Large language models (LLMs) like those powering ChatGPT and OpenEvidence generate text via next-token prediction without any fact-check step, meaning fluency does not guarantee accuracy, according to a clinical lecture …
Amazon Web Services announced a new pipeline using Amazon Nova foundation models to automatically redact Personally Identifiable Information (PII) in images, addressing compliance with regulations like GDPR and PCI DSS. …