AI images of Maduro capture reap millions of views on social media - The Guardian
<a href="https://news.google.com/rss/articles/CBMigwFBVV95cUxOZy10NWF6VXFtZVJUUERxdWRkdDRSNHhCRDFsdUtrUjZkMERGcHRCMmxTMzJzbmhXY2ZZT1NkXzBSRnhiYVpHTnJzU3d1UGZ5Sm9FUmc5RGVNWTJwbkdUTEhjMEd1ckZpSW50RUxyOXVqcUhWQmdTMnU5dDgwWTQ5MG5KQQ?oc=5" target="_blank">AI images of Maduro capture reap millions of views on social media</a> <font color="#6f6f6f">The Guardian</font>
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Read on Google News - AI Venezuela →Google News - AI Venezuela
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millionInside Nikesh Arora’s $10 Million Bet: Why Palo Alto Networks is Doubling Down on the AI Security Frontier - FinancialContent
<a href="https://news.google.com/rss/articles/CBMiigJBVV95cUxORmhpMnJOenZMbWcxR1AxcWI4ZG42dmhmTHY0S1VhbU9oc3lSSWM1WTdabXV0dEk2REl3ZHJnaDdpRHN5ZzFaRG45eVoxUFdWa3FzdTN4TThNSjNrODFWMEZma0p2OHFPRTBYT0t3a2lHbVg0T3YwYWNHQlBKZm05NVI5YmFCNWg3YWlidjN1NVY3RHRVbFhCOGVpbW5GanlJZFU5YnAzclB1QWNUajBRZG40eTZIR1NzQTg5TFVTVmxpb0pEZUl1akk2WHJyQ0p6V1gxM3JNM3ZhbksyZ2dQZzNhWWZTdFdTak5OSndpakVVcnlvV2RIS1NpSnFhTW5fNjF6SndiTUU3UQ?oc=5" target="_blank">Inside Nikesh Arora’s $10 Million Bet: Why Palo Alto Networks is Doubling Down on the AI Security Frontier</a> <font color="#6f6f6f">FinancialContent</font>

From Physics to Surrogate Intelligence: A Unified Electro-Thermo-Optimization Framework for TSV Networks
arXiv:2603.29268v1 Announce Type: new Abstract: High-density through-substrate vias (TSVs) enable 2.5D/3D heterogeneous integration but introduce significant signal-integrity and thermal-reliability challenges due to electrical coupling, insertion loss, and self-heating. Conventional full-wave finite-element method (FEM) simulations provide high accuracy but become computationally prohibitive for large design-space exploration. This work presents a scalable electro-thermal modeling and optimization framework that combines physics-informed analytical modeling, graph neural network (GNN) surrogates, and full-wave sign-off validation. A multi-conductor analytical model computes broadband S-parameters and effective anisotropic thermal conductivities of TSV arrays, achieving $5\%-10\%$ relative

Monodense Deep Neural Model for Determining Item Price Elasticity
arXiv:2603.29261v1 Announce Type: new Abstract: Item Price Elasticity is used to quantify the responsiveness of consumer demand to changes in item prices, enabling businesses to create pricing strategies and optimize revenue management. Sectors such as store retail, e-commerce, and consumer goods rely on elasticity information derived from historical sales and pricing data. This elasticity provides an understanding of purchasing behavior across different items, consumer discount sensitivity, and demand elastic departments. This information is particularly valuable for competitive markets and resource-constrained businesses decision making which aims to maximize profitability and market share. Price elasticity also uncovers historical shifts in consumer responsiveness over time. In this pap
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OpenAI Closes Silicon Valley’s Largest-Ever Funding Round - WSJ
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OpenAI Closes Silicon Valley’s Largest-Ever Funding Round - WSJ
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OpenAI valuation reaches $852 billion after massive funding round - Forbes Australia
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