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Join Professor Hannah Fry as she interviews some of the leading voices in artificial intelligence. From recent Nobel winner, Demis Hassabis, to the legendary Jeff Dean, this series covers everything you're curious about, including the early days of Google, recent breakthroughs in GenAI, Astra, and AlphaFold, or more pressing questions like _how human should an AI assistant be?_
One of the best efforts at multilingual language model training, the Aya project has grown substantially since its launch earlier this year. Most of the gains in performance have come from strong post training recipes. It also processes audio input and can generate images all from non-English input.
Claude can now write and execute code as part of artifacts.
Jacob Collier, a Grammy-winning musician, has teamed up with Google DeepMind and Google Labs to create MusicFX DJ, an AI-powered music tool. The interface has been redesigned to encourage creativity and help users easily enter a "flow state" of artistic inspiration. MusicFX DJ is available now, offering intuitive controls for all skill levels.
Screenshot parsing tool for models to use digital interfaces.
Meta has quantized its 1B and 3B language models to be 2-4x faster at minimal loss of quality while being 50%+ smaller. This was enabled by its quantization-aware training setup, which allows for models to adjust to the small precision.
A simple yet efficient method for upsampling and cleaning point clouds using a modified octree-based 3D U-Net (OUNet).
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QA Wolf (4.8 ⭐ on G2) [13] brings AI-level scale and efficiency to testing, with unlimited parallel test runs on their cloud infrastructure and a zero-flake guarantee.
ExecuTorch enables on-device inference on mobile and edge devices including wearables, embedded devices, and microcontrollers. It also enables efficient deployment of PyTorch models to edge devices. ExecuTorch is compatible with a wide variety of computing platforms and it can fully utilize hardware capabilities such as CPUs, NPUs, and DSPs. Step-by-step tutorials on how to use ExecuTorch are available.
Federated Transformer (FeT) is a new framework designed to improve the performance and privacy of Vertical Federated Learning (VFL) across multiple parties.
ADEM-VL is a new vision-language model designed to overcome hardware limitations in existing models.
This author used a simple feedforward DNN model to track and predict weight loss on a ketogenic diet. The model captured the non-linear weight loss pattern, fit a function to the data, and visualized calorie metrics. The Harris-Benedict Equation was used to compare calorie needs to real weight loss for better insights.
Google Gemini's AI Studio can successfully extract numerical data from a video screen recording of emails. The process involves using the inexpensive Gemini 1.5 Flash model and incurs almost no cost. This novel "video scraping" approach offers a practical alternative to traditional data extraction methods.
The AI boom is driving significant US investment in data centers, computing infrastructure, and advanced hardware, with data center construction reaching a record-high $28.6 billion annually. This surge is fueled by the growing demand for powerful computing resources necessary for training and deploying advanced AI models. While revenue rebounds in the tech sector, job growth remains concentrated in semiconductor manufacturing and infrastructure, diverting focus from traditional programming roles.
Internal studies show ChatGPT is 25% more accurate than Siri, with Apple being about two years behind industry leaders in AI.
Perplexity, an AI search engine, is in talks to raise $500 million, potentially doubling its valuation to $8 billion.
The STAR1 robot, powered by AI algorithms and high-torque motors, achieved a record speed of over 8 mph in a Gobi Desert test.