Meta ran into some spectacularly embarrassing technical issues during the live demos of its new smart glasses this week, and now we know why. Andrew Bosworth, Meta’s chief technology officer, explained in an Instagram AMA why two notable demos —…
Strike 3 Holdings is suing Meta in federal court, alleging the tech giant pirated copyrighted adult videos to train its AI models.
Amazon is a mucky mess of ads, unknown sellers, misleading sales, and specious information. Stay safe while shopping on Amazon with these tips and tricks.
In the latest episode of the Agent Factory podcast, Amit Miraj and I took a deep dive into the Gemini CLI. We were joined by the creator of the Gemini CLI, Taylor Mullen, who shared the origin story, design philosophy,…
Computer vision moved fast in 2025: new multimodal backbones, larger open datasets, and tighter model–systems integration. Practitioners need sources that publish rigorously, link code and benchmarks, and track deployment patterns—not marketing posts. This list prioritizes primary research hubs, lab blogs,…
Qwen has released Qwen3-ASR-Toolkit, an MIT-licensed Python CLI that programmatically bypasses the Qwen3-ASR-Flash API’s 3-minute/10 MB per-request limit by performing VAD-aware chunking, parallel API calls, and automatic resampling/format normalization via FFmpeg. The result is stable, hour-scale transcription pipelines with configurable…
What Do We Mean by “Physical AI”? Artificial intelligence in robotics is not just a matter of clever algorithms. Robots operate in the physical world, and their intelligence emerges from the co-design of body and brain. Physical AI describes this…
arXiv:2509.14942v1 Announce Type: cross Abstract: Carbapenemase-Producing Enterobacteriace poses a critical concern for infection prevention and control in hospitals. However, predictive modeling of previously highlighted CPE-associated risks such as readmission, mortality, and extended length of stay (LOS) remains underexplored, particularly with…
arXiv:2505.18297v3 Announce Type: replace-cross Abstract: We present the first deep-learning solver for backward stochastic Volterra integral equations (BSVIEs) and their fully-coupled forward-backward variants. The method trains a neural network to approximate the two solution fields in a single stage, avoiding…
arXiv:2509.07027v3 Announce Type: replace-cross Abstract: We propose a novel regularization loss that enforces standard Gaussianity, encouraging samples to align with a standard Gaussian distribution. This facilitates a range of downstream tasks involving optimization in the latent space of text-to-image models.…
