Criminal hacker group USDoD has allegedly leaked 2.7BN records of personal information — including names, addresses, dates of birth, Social Security numbers, and phone numbers.
Hackers aren't your problem to solve. But you can do something about those brazen data brokers, and that's sign up to Incogni today. They'll send dozens of removal requests, deleting your personal data from the data brokers you know—and the ones you don't.
Salesforce has introduced xGen-VideoSyn-1, a text-to-video (T2V) model that generates realistic scenes from textual descriptions. The model uses a video variational autoencoder (VidVAE) to compress video data, reducing computational demands, and a Diffusion Transformer (DiT) for improved temporal consistency and generalization.
Powered by phi-3-mini, this space uses a rarity prompt to generate data about any topic. It isn't the most accurate, but it is fascinating and powerful.
Neural networks can represent and manipulate 3D objects in 2D scenes by conditioning on per object representations. This work may well be the Holy Grail of 3D object disentangling.
Researchers have introduced a new method called T3M for creating 3D animations guided by text inputs. Unlike previous techniques that relied only on speech, T3M allows for more accurate and customizable animations, making it a valuable tool for virtual reality, gaming, and film production.
FlexEdit is an image editing method that combines Vision Large Language Models (VLLMs) with free-shape masks for more precise edits based on language instructions.
NVIDIA claims that the H200 SXM offers significant enhancements over the H100 SXM, delivering up to 45% better performance in generative AI and HPC tasks. Want to test it this autumn? Contact Nebius AI team.
Google has an extremely novel way to personalize diffusion models that outperforms a number of common methods. It is available for PyTorch and with some slight modifications can work with Flux.
This author's reliance on Claude, an LLM from Anthropic, for technical writing due to increased work demands highlights LLMs' growing utility in professional contexts. Despite needing expert verification, Claude's assistance has proven cost-effective and underscores a rapidly changing landscape for niche experts facing AI-driven automation. The author reflects on the potential shift in knowledge work as AI tools like Claude become more integrated into routine tasks.
D-ID has launched an AI Video Translate feature that clones the speaker's voice and syncs lip movements in translated videos. Supporting 30 languages, it seeks to reduce localization costs for global campaigns. It is available to subscribers, with plans starting at $56 per year. The technology competes with similar offerings from companies like YouTube and Vimeo, as well as numerous AI voice cloning tools.
AI companies are struggling to find product-market fit for LLMs, leading to significant investments yet limited commercial success. The five main challenges hindering AI product viability are cost, reliability, privacy concerns, safety and security issues, and user interface limitations. Overcoming these sociotechnical issues is critical for the effective integration and widespread adoption of AI in consumer products.