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Solar & Storage Are Saving Schools Millions. See How These 6 Are Using the Extra Budget Space.
The first days of the 2026-2027 school year are upon us.…
- Students of all ages are getting ready for another year of learning, a…
- Today, over 7 million K-12 students (~1 in 7) attend a solar-powered s…
- [continued] The post Solar & Storage Are Saving Schools Millions.
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REPORT: U.S. Adds 20 GWh of Energy Storage Capacity in Q2, Largest Quarter on Record
U.S.…
- battery energy storage capacity nearly doubles in the first 18 months …
- energy storage industry installed a record 20.
- 2 gigawatt-hours (GWh) of new capacity in Q2, bringing total installat…
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From Silos to Systems, from Data to Insight: Unlocking Organizational Knowledge and Winning in the AI Era with Keysight SOS Enterprise
The white paper introduces Keysight SOS Enterprise as an AI-ready engineering data and IP management platform designed to help semiconductor and electronics companies centrally manage, govern, and secure
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Long-Horizon State Tracking in LLMs: Executing MD5 through a Deep Sequence of Dependent Tool Calls
arXiv:2609.…
- 00012v1 Announce Type: new Abstract: Long-horizon tasks remain uncommo…
- Existing agentic benchmarks report end-to-end success but confound thi…
- Whether an LLM can carry exact intermediate state across many tool cal…
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Incremental Risk Assessment of Progressive Elder Financial Scams via Instruction-Tuned Small Language Models
arXiv:2609.…
- 00005v1 Announce Type: new Abstract: Financial scams targeting older a…
- Because risk signals emerge incrementally across turns, effective dete…
- We propose a cumulative turn-based risk assessment framework that incr…
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Discrete-Time MDP Modeling for Multi-Item Capacitated Lot Sizing with Stochastic Demand Timing
arXiv:2609.…
- 00004v1 Announce Type: new Abstract: This paper studies a finite-horiz…
- Each demand occurs once within a known time window and must be satisfi…
- The proposed model makes production and allocation decisions at the de…
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I-CARE: Analysis of interference-related phenomena in a controllable, diverse and representative unlearning setting for text-to-image models
arXiv:2609.00003v1 Announce Type: new Abstract: Machine unlearning studies the removal of knowledge from an AI model, making the system forget a concept it previously learned.…
- Despite rapid progress in generative machine unlearning, the unintende…
- This paper introduces I-CARE, a methodology that formalizes interferen…
- Rather than proposing a new benchmark or unlearning algorithm, I-CARE …
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HyperWorld: Hypergraph-Structured State Serialization Improves Learned Textual World Models
arXiv:2609.00002v1 Announce Type: new Abstract: World models enable language-model agents to predict environment dynamics and plan before acting.…
- In text environments, the model must learn symbolic action effects fro…
- We present HyperWorld, a controlled study of state serialization for l…
- We compare raw observations with three symbolic serializations of the …
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