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tonic.ai-launches-partner-program-as-enterprise-ai-drives-demand-for-synthetic-data-at-scale

Tonic.ai Launches Partner Program as Enterprise AI Drives Demand for Synthetic Data at Scale

New program offers SIs, resellers, and referral partners deal protection, certifications, and dedicated support to meet growing demand for synthetic data. As the world’s leading AI labs and global services firms accelerate their investments in enterprise AI deployment, the demand for high-fidelity, safe, and compliant data has never been greater. Tonic.ai, the synthetic data platform

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scientists-are-getting-better-at-predicting-which-dna-sequences-bind-to-each-other-ai-is-helping.

Scientists Are Getting Better at Predicting Which DNA Sequences Bind to Each Other. AI is Helping.

Researchers have demonstrated a novel AI model that can predict which DNA molecules bind with which other DNA molecules. Providing a more thorough understanding of these hypercomplex binding relationships has utility in applications ranging from biomedical diagnostic tools to DNA computing. “We often think about binding as a very simple relationship – Molecule A binds

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drones-and-ensemble-ai-reveal-hidden-patterns-of-urban-water-pollution

Drones and ensemble AI reveal hidden patterns of urban water pollution

image:  Efficient monitoring of chlorophyll-a concentration in urban water bodies based on UAV multispectral images and ensemble machine and deep learning method view more  Credit: Anqi He, Bin Yang, Qinghe Qu, Fenfen Tian, Bin Yang Urban rivers provide essential benefits, from supporting biodiversity and regulating local climates to supplying water and improving residents’ quality of

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lease-intelligence-at-scale

Lease Intelligence at Scale

JLL manages lease data across 175 legal jurisdictions and more than 45 languages — the foundation for every strategic, financial and operational decision across its global real estate business. To modernize how that data is captured, governed and accessed, JLL partnered with DealSumm and Databricks. Built on the DealSumm platform and powered by Genie and

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america-now-has-a-reactor-test-bed-for-hacking,-ai-and-remote-control,-a-10-kilowatt-machine-under-purdue-that-traded-its-1960s-dials-for-ethernet-—-built-to-prove-whether-one-control-room-can-watch-a-fleet-of-reactors-from-thousands-of-miles-away

America now has a reactor test bed for hacking, AI and remote control, a 10-kilowatt machine under Purdue that traded its 1960s dials for ethernet — built to prove whether one control room can watch a fleet of reactors from thousands of miles away

Nuclear control rooms are one of the last corners of America where analog never died. Dials, knobs, chart recorders, switch panels that look lifted from a 1960s film set. And there’s a logic to it: you can’t reach a dial through a network, so there’s nothing for a hacker to grab. But in a basement

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Alan Turing's biggest AI assumption may have been wrong

Alan Turing's famous ideas about artificial intelligence may have sent AI research down the wrong path for the past 75 years, according to prominent computer scientist Peter J. Denning. In his new book, Turing's Mistake: Escaping the Yoke of Unintelligent Machines, Denning argues that two foundational assumptions made by Turing in 1950 continue to shape

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as-enterprises-move-ai-agents-into-production,-openbox-ai-and-temporal-introduce-runtime-governance-for-long-running-agents

As Enterprises Move AI Agents Into Production, OpenBox AI and Temporal Introduce Runtime Governance for Long-Running Agents

New integration combines durable execution with real-time authorization and auditability, addressing the next operational challenge for enterprise AI agents Enterprises are discovering that keeping AI agents running is only half the problem. As agents gain access to business systems and operate across increasingly long workflows, organizations face a more difficult question: how to prove that

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open-dataset-and-deep-learning-model-for-intelligent-diagnosis-of-neonatal-respiratory-distress-syndrome-and-aspiration-syndrome-in-newborns-–-scientific-reports

Open dataset and deep learning model for intelligent diagnosis of neonatal respiratory distress syndrome and aspiration syndrome in newborns – Scientific Reports

Introduction Neonatal pulmonary diseases are among the leading causes of morbidity and mortality in newborns. These conditions, which can be congenital or acquired, pose a serious threat to neonatal health and require prompt diagnosis and treatment. Clinical diagnosis typically relies on chest X-rays, blood gas analysis, and other physiological indicators. However, manual interpretation of neonatal

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How Iowa State University’s Translational AI Center is feeding the future with generative AI and computer vision on AWS | Amazon Web Services

From on-premises lab prototype to globally scalable pest intelligence When a farmer in central Iowa spots an unfamiliar insect on their crop, every hour matters. Waiting days for a county extension agent visit or thumbing through reference guides can mean the difference between a targeted spot treatment and a costly full-field chemical application. Iowa State

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