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The Sideload 016: Breaking down 2025’s biggest trends
Welcome to The Sideload episode 16, a 9to5Google podcast. This week, Will welcomes PC Mag reporter James Peckham to the show to discuss the biggest news stories...
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Working to eliminate barriers to adopting nuclear energy
Nuclear waste continues to be a bottleneck in the widespread use of nuclear energy, so doctoral student Dauren Sarsenbayev is developing models to address the p...
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Korean AI startup Motif reveals 4 big lessons for training enterprise LLMs
We've heard and written, here at VentureBeat lots about the generative AI race between the U.S. and China, as those have been the countries with the groups most...
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[Paper] EvoLattice: Persistent Internal-Population Evolution through Multi-Alternative Quality-Diversity Graph Representations for LLM-Guided Program Discovery
Large language models (LLMs) are increasingly used to evolve programs and multi-agent systems, yet most existing approaches rely on overwrite-based mutations th...
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[Paper] EvoLattice: Persistent Internal-Population Evolution through Multi-Alternative Quality-Diversity Graph Representations for LLM-Guided Program Discovery
Large language models (LLMs) are increasingly used to evolve programs and multi-agent systems, yet most existing approaches rely on overwrite-based mutations th...
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[Paper] DiffusionBrowser: Interactive Diffusion Previews via Multi-Branch Decoders
Video diffusion models have revolutionized generative video synthesis, but they are imprecise, slow, and can be opaque during generation -- keeping users in the...
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[Paper] LitePT: Lighter Yet Stronger Point Transformer
Modern neural architectures for 3D point cloud processing contain both convolutional layers and attention blocks, but the best way to assemble them remains uncl...
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[Paper] Towards Scalable Pre-training of Visual Tokenizers for Generation
The quality of the latent space in visual tokenizers (e.g., VAEs) is crucial for modern generative models. However, the standard reconstruction-based training p...
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[Paper] Beyond surface form: A pipeline for semantic analysis in Alzheimer's Disease detection from spontaneous speech
Alzheimer's Disease (AD) is a progressive neurodegenerative condition that adversely affects cognitive abilities. Language-related changes can be automatically ...
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[Paper] Recurrent Video Masked Autoencoders
We present Recurrent Video Masked-Autoencoders (RVM): a novel video representation learning approach that uses a transformer-based recurrent neural network to a...
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[Paper] I-Scene: 3D Instance Models are Implicit Generalizable Spatial Learners
Generalization remains the central challenge for interactive 3D scene generation. Existing learning-based approaches ground spatial understanding in limited sce...
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[Paper] LASER: Layer-wise Scale Alignment for Training-Free Streaming 4D Reconstruction
Recent feed-forward reconstruction models like VGGT and π^3 achieve impressive reconstruction quality but cannot process streaming videos due to quadratic memor...