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
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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…
Recurrent models must preserve information that changes future behavior while suppressing hidden-state error. These objectives conflict: contraction improves stability, but contraction along a future-distinguishing direction destroys memory. We formalize this boundary through…
Recent advances in large language models (LLMs) have led to the emergence of coding agents capable of performing complex engineering tasks, including register-transfer level (RTL) design and optimization. Existing RTL benchmarks mainly evaluate functional correctness and…
Engineering predictions require physical mechanisms to be translated consistently into equations, discretization, code, and validation, yet errors can propagate despite local checks. Artificial-intelligence (AI) agents automate scientific tasks, but coordinating and…
Bimanual interaction produces complementary tactile views of the same physical process, yet existing tactile representation learning largely models the two hands independently or combines them only for downstream prediction, leaving their cross-hand relationship unexplored. To…