Navigator Global bets $145m on Canadian AI venture capital investor - AFR
<a href="https://news.google.com/rss/articles/CBMiywFBVV95cUxPUDU1WWNwOEU1blRuNW55YkFYWFUwQ3JybW9sX3dnZmpEWGNJNVVVQ0JQQ0tQdkFfYUZlc3hvT2x4NThiT0ZJdm0ySGZuZklFblh3ZlNzRXpibzBobVJrak5VZWFPTWN3dFJEbG12QXQ3MW1RazdEdWlrREJnSV95eEJ4ZzdPeGxQUWNTSU5saDFsb0NoV05PaUNiMDZsd2k1cnpxdVdRQTQ1TV9ZWUZGa3VwSE55MmxodmRRUTRiY1NSc1NWcndJbnBYWQ?oc=5" target="_blank">Navigator Global bets $145m on Canadian AI venture capital investor</a> <font color="#6f6f6f">AFR</font>
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GazeCLIP: Gaze-Guided CLIP with Adaptive-Enhanced Fine-Grained Language Prompt for Deepfake Attribution and Detection
arXiv:2603.29295v1 Announce Type: new Abstract: Current deepfake attribution or deepfake detection works tend to exhibit poor generalization to novel generative methods due to the limited exploration in visual modalities alone. They tend to assess the attribution or detection performance of models on unseen advanced generators, coarsely, and fail to consider the synergy of the two tasks. To this end, we propose a novel gaze-guided CLIP with adaptive-enhanced fine-grained language prompts for fine-grained deepfake attribution and detection (DFAD). Specifically, we conduct a novel and fine-grained benchmark to evaluate the DFAD performance of networks on novel generators like diffusion and flow models. Additionally, we introduce a gaze-aware model based on CLIP, which is devised to enhance t
Monocular Building Height Estimation from PhiSat-2 Imagery: Dataset and Method
arXiv:2603.29245v1 Announce Type: new Abstract: Monocular building height estimation from optical imagery is important for urban morphology characterization but remains challenging due to ambiguous height cues, large inter-city variations in building morphology, and the long-tailed distribution of building heights. PhiSat-2 is a promising open-access data source for this task because of its global coverage, 4.75 m spatial resolution, and seven-band spectral observations, yet its potential has not been systematically evaluated. To address this gap, we construct a PhiSat-2-Height dataset (PHDataset) and propose a Two-Stream Ordinal Network (TSONet). PHDataset contains 9,475 co-registered image-label patch pairs from 26 cities worldwide. TSONet jointly models footprint segmentation and height
Why “On Budget” Doesn’t Mean “On Return”
<p>If you’ve worked on any system at scale, you already know this pattern.</p> <p>The dashboard is green.<br> The metrics look stable.<br> Everything appears under control.</p> <p>And yet, the system is drifting in a way the dashboard doesn’t capture.</p> <p>That’s exactly what happens in real estate projects when teams rely on “on budget” as the primary signal.</p> <h2> Budget is a metric. Return is system behavior. </h2> <p>Construction reporting is built like an operational dashboard. It tracks spend against a plan.</p> <p>It answers:<br> Are we within the expected cost boundary?</p> <p>Return metrics answer something else entirely:<br> Is this system still producing the outcome it was designed for?</p> <p>Those are different layers of the system.</p> <p>You can be perfectly within budg
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AMD says it will buy Intel, completing the strangest reversal in chip history
The all-stock transaction, which AMD described as a "once-in-a-generation opportunity to unify x86 innovation," would combine the two companies under a single umbrella just a few years after such an outcome would have sounded ridiculous. Read Entire Article
OpenAI Closes Silicon Valley’s Largest-Ever Funding Round - WSJ
<a href="https://news.google.com/rss/articles/CBMingNBVV95cUxNZGxGbVFEREdPeHIxcHBqUFZhekEtSG1VZ0FIM2tIVTdQQVR3TVI5S0VmdEh6SVZPem90dGx3aEprbG0zV0pWU0NkMlhkbU5GckcxTHBXQ0pHdXNpM1c2SVFuWUlnUlVnelM5eWc3RDdFZGdxOVhhdzNFVWhIeGVodG9WV1ZacUNVX25RNjMzVlpQYmZEV1Y5RlpoSkFxVkhmYkNNZjY3cTNNNmlvTkRZUzhGRGN1NUVvc1BkVHctdUk2bEF5ZmNQOWFIT2VFTVJZZWJoVmhJUUVqUHRsaVpFeVQzQlVvZkhmT0hvMVdkdzZPUVBwSGZONlA4YVRRRXZUbG9jcTkzTlM3anBrRXEyNks5S0Q2bmZTUFdJQWhHU1lMcnNtdzVZNFlFWGpSenA0VnVKNnNleFRpb1VnZnFXLXdCVDVMNFVLQ2UyQ0NQZkRHLWRSM3BPVWl6c055RERlckU5NUI3VFR1QVEwQ1FJd09nNVZKNDdOUW5CRXh6LXFJTlFnS0dBZHlRLVcxZ0Zsbl9fOFNYZU5COFNlMlE?oc=5" target="_blank">OpenAI Closes Silicon Valley’s Largest-Ever Funding Round</a> <font color="#6f6f6f">WSJ</font>
OpenAI Closes Silicon Valley’s Largest-Ever Funding Round - WSJ
<a href="https://news.google.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?oc=5" target="_blank">OpenAI Closes Silicon Valley’s Largest-Ever Funding Round</a> <font color="#6f6f6f">WSJ</font>
OpenAI valuation reaches $852 billion after massive funding round - Forbes Australia
<a href="https://news.google.com/rss/articles/CBMiqwFBVV95cUxPWVpxMlJBT2tmOE1oLVg4QWZENWhrVHRWaHIxQzI5eGpITXNrbUZ6Mmh2Umh0U3k2RTFuODVqcmJMamJ2dzUxVjhUcm0tWHVMYjh2U29XVm5acW8yZEhETnhmRDBIZkdzeTBIcUU2SjM2LTJhZS1UVUU4QzNPUGdIX3pSa2dyQng1SHJKRnRnYVJiWkcxMGh4cTAzRjRDZ1VpM0RscXV2TjQ2WHc?oc=5" target="_blank">OpenAI valuation reaches $852 billion after massive funding round</a> <font color="#6f6f6f">Forbes Australia</font>
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