Summary: Raising a Series B for an AI startup is challenging, even as the venture capital funding in the AI space slows down. Founders should be able to explain the measurable impact of AI on their product offering. Credibility with investors is important, and startups should differentiate themselves from major players in the AI space….
Summary: Real estate fraud prevention startup, CertifID, has raised $20 million in a funding round led by Arthur Ventures. CertifID develops products to fight wire fraud in real estate transactions. Wire fraud in real estate has become a significant problem, with losses of over $213 million in 2020. CertifID offers tools to protect home buyers,…
Summary: Recent developments in text-to-speech systems have improved the intelligibility and naturalness of synthesized speech. Modeling voice variability is still a challenge, as different ways of saying the same phrase can convey additional information. Traditional TTS techniques rely on speaker information or speech prompts, which are not user-friendly. A more promising approach is to use…
Summary: T2I-Adapters are plug-and-play tools that enhance text-to-image models without requiring full retraining. They align internal knowledge with external signals for precise image editing. They are faster and more efficient than alternatives like ControlNet. ControlNet-SDXL has 1251 million parameters and 2.5 GB of storage, while T2I-Adapter-SDXL only has 79 million parameters and 158 MB of…
Summary: A new approach called LUMEN-VQ aims to speed up retrieval augmentation in language models while reducing the computational burden and maintaining quality. LUMEN-VQ achieves a 16x compression rate, allowing for efficient storage of memory representations for large corpora. Google researchers introduce MEMORY-VQ as a method to reduce storage requirements by compressing memories using vector…
Summary: The Federal Trade Commission (FTC) is preparing to address the antitrust implications of generative artificial intelligence (AI), which uses massive models trained on diverse datasets to create new content. The FTC is concerned about exclusive deals that enable one firm to control a critical input, distribution channel, or customer segment, potentially raising costs and…
Summary: “Exadelic” is a sci-fi novel that is being compared to “Ready Player One” in the Bay Area tech community. The plot involves an AI-driven deep tech conspiracy that could determine the fate of the planet. The early chapters are a techno-thriller, but the plot takes unexpected turns and delves into themes like out of…
Summary: Visual language models (VLMs) help AI systems process text and images together for better comprehension. VLMs are useful for tasks like visual question answering and image captioning. Current VLMs need improvement in capturing physical concepts related to objects. Researchers propose PhysObjects, an object-centric dataset, to improve physical reasoning abilities of VLMs. PhysObjects consists of…
Summary: Visual language models (VLMs) are AI systems that can process both text and images to generate rich and contextually relevant descriptions or explanations. The major tasks of VLMs are visual question answering and image captioning. Stanford, Princeton, and Google Deep Mind researchers have proposed PhysObjects, an object-centric dataset of physical concept annotations of common…
Summary: Nvidia’s Grace Hopper CPU+GPU Superchip performed exceptionally well on the MLPerf industry benchmark tests, outperforming Nvidia’s H100 GPUs and Intel’s Xeon CPU. The Grace Hopper Superchip combines a Hopper GPU and Grace CPU, optimizing compute allocation between the two. Nvidia’s HGX platform, which packs eight H100 GPUs, also scored high on the benchmark tests….