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Hisense Plans Alexa+ Control for Select Air Conditioners in Com...More Than $45 Million in Data-Center Ads Pushes AI Infrastructu...Artificial Analysis Clarifies Astra’s 67-Point Coding Score Is...Together AI Secures 250 MW in Saudi Arabia as U.S. Data-Center...SpaceX Builds a Texas Foundry to Cut AI Data-Center Turbine Del...Anthropic’s Claude Built a 13-Million-Line Fermat Proof, Leavin...Hisense Plans Alexa+ Control for Select Air Conditioners in Com...More Than $45 Million in Data-Center Ads Pushes AI Infrastructu...Artificial Analysis Clarifies Astra’s 67-Point Coding Score Is...Together AI Secures 250 MW in Saudi Arabia as U.S. Data-Center...SpaceX Builds a Texas Foundry to Cut AI Data-Center Turbine Del...Anthropic’s Claude Built a 13-Million-Line Fermat Proof, Leavin...

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Showing 1-10 of 10Results matching "data centers"

Earlier this week

3 stories
ResearchModels

Google’s RT-2 Made Language Models Robot Controllers, Defining a VLA Template

The 2023 system joined web-trained visual knowledge to physical commands, a design that has shaped modern robot research. Its reliance on teleoperation data and remote computing shows how far the path to capable machines still runs. Google ’s RT-2 offered a consequential answer to a robotics problem: instead of asking a large model to describe what a robot should do, train it to output the movements itself.

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ResearchProducts

Databricks Sets a Six-Layer Path for Genie Ontology, Starting With One Domain

The new guide shifts the hard part of enterprise AI from connecting a model to data toward maintaining the definitions, permissions and evaluations that keep answers dependable. Databricks has published a six-layer operating path for Genie Ontology that begins with clean, reconciled data and ends with continuous evaluation. The guide frames an ontology as more than a semantic model.

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ResearchInfrastructure

Emerson Analysis Says AI Data Centers Need Batteries for 100-MW Load Swings

The immediate infrastructure challenge is increasingly response speed, not simply total megawatts: batteries can cushion abrupt computing demand, but only if they are sized and controlled alongside generation assets. AI data centers may need to be designed around sudden changes in demand, not just their enormous appetite for electricity. The power problem is speed The distinction is consequential.

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Last week

5 stories
ResearchInfrastructure

US Data Centers Could Use 1.125 Trillion Liters of Water by 2030, Straining Dry Regions

The key question is not a universal water cost per AI query. It is whether new computing capacity is added where heat, drought and fossil-powered electricity make each unit of demand more consequential. A rapid data-center buildout could put new pressure on already dry parts of the United States even though cooling accounted for less than 1 percent of national water consumption in 2023.

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ResearchPolicy

Anthropic Opens 750,000 Claude Conversations to Outside Study Without Showing the Chats

The pilot gives outside labs a larger window into real AI use than public chat datasets offer, but Anthropic still runs the analysis, screens the outputs and limits what researchers can inspect. Anthropic has created a controlled route for outside researchers to study how people use Claude at production scale. Stanford and Oxford studied Claude.ai use; METR examined Claude Code sessions.

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ResearchModels

MIT’s CrysVCD Steers AI Material Design Toward Stability Before Costly Screening

The framework shifts chemical validation to the front of the workflow, aiming to leave smaller labs with more viable crystal candidates instead of a large downstream filtering bill. Generative AI can produce millions of material designs in minutes, but chemically unstable outputs can leave users with expensive screening work and few usable candidates. First, a language model produces chemically valid formulas.

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ResearchInfrastructure

Oracle Puts Access Filters Before Agent Search—and Reranking Adds 2.2 Seconds

The proposed database-centered pipeline separates a correctness requirement from a relevance choice: access scope must constrain candidates first, while vector, lexical, fusion, and reranking stages still have to prove their value on each workload. Oracle ’s proposed agent-memory pipeline starts with a hard ordering rule: constrain the data a user may access before vector or keyword search ranks anything.

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ResearchInfrastructure

UC San Diego Will Test $8.48M System to Make 2 MW of AI Compute Grid-Responsive

The planned project couples a direct-to-DC power path with software that can defer some computing work. Its practical value rests on whether both systems perform together under live research workloads. UC San Diego will lead an $8.48 million California Energy Commission-funded demonstration at the San Diego Supercomputer Center that is designed to make 2 megawatts of AI compute responsive to grid conditions.

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August 2026

2 stories
ResearchInfrastructure

UBS Sees $4.1 Trillion AI Infrastructure Buildout Through 2028

The forecast suggests the AI race is becoming a long-duration infrastructure commitment, not a short server cycle. The financial test is whether demand, utilization and cash flow can catch up with the capacity now being planned. UBS projects hyperscaler capital expenditures will total about $4.1 trillion from 2026 through 2028, a spending wave that would put annual outlays at $1.619 trillion by the final year.

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