Aditya Mulik explains how Walmart Global Tech deployed multi-agent LLM workflows across 4,700 stores for nightly batch inventory forecasting. He discusses tackling production hurdles - schema violations, cross-department data mismatches, and network drops - via MCP grounding and loop agents, while slashing cloud inference costs from $100k+ to $10k per month shifting from PTUs to pay-as-you-go.
The Nasdaq 100 bounced as oil prices fell, but this bounce is unsustainable; thus, the selloff is likely to resume. The AI beneficiaries trade is collapsing due to the expected cut in AI capex over the next two years, in the aftermath of the US midterms.
Ceipal announced on November 10, 2026, the launch of Ceipal Ora, an agentic AI platform that uses software agents to execute staffing workflows, and reported that 650 customer companies were already running at least
Capitol News Illinois is a nonprofit, nonpartisan news service that distributes state government coverage to hundreds of news outlets statewide. It is funded primarily by the Illinois Press Foundation and the Robert R. McCormick Foundation.
Ricursive Intelligence introduces Ripple-65B Preview, a 65B parameter dense Transformer model pretrained on 12 trillion tokens with support for up to 1M context length. Ripple-65B Preview delivers strong results on agentic coding, scoring 80.52 on TerminalBench 2.1 and…
Introduction Hello! We are arr0w (ML) and utdoi (Backend), Product Engineers at Mercari. Our team, the Product Data Team, works on integrating product data held by external businesses to improve the coverage and quality of our product catalog (data that consolidates information…
Maintenance work orders must often be processed offline on embedded hardware, yet downstream software requires predictable structured output. We present ARID (Aviation-inspired Routing for Industrial Deployment), which extracts component, failure mode, symptom, and maintenance…
Financial time series evolve across multiple temporal resolutions, challenging forecasting systems to incorporate newly available information without repeatedly recomputing unchanged representations. We introduce HARN, a Hierarchical Associative Resonance Network for…
Synthetic essays can help reduce dependence on human-written data in Automated Essay Scoring (AES). However, they often lack realistic errors, limiting their ability to represent authentic human writing, particularly when the target texts are intended to resemble those produced…