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UK government releases schedule for the AI Safety Summit
The UK’s AI Safety Summit, taking place on November 1-2, 2023, has published the program for day one. The event aims to influence the development of safe AI and will include representatives from international governments, major AI companies, and leading research experts. China is expected to attend despite tensions with the US. The full schedule…
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The Power of Independent Component Analysis (ICA) on Real-World Applications — EGG Example
Independent Component Analysis (ICA) is a data-driven tool used to separate linear contributions in data. It can be applied to various real-world applications, such as separating instrument tracks from audio. In the context of EEG data, ICA can be used to remove motion artifacts like eye blink movements from the neural signal. However, caution should…
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This new data poisoning tool lets artists fight back against generative AI
Nightshade is a new tool developed by a team at the University of Chicago that allows artists to add invisible changes to their art’s pixels, undermining AI models trained on scraped artwork. This data-poisoning technique aims to deter AI companies from using artists’ work without permission. Nightshade will be integrated into Glaze, another tool by…
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Celebrating Kendall Square’s past and shaping its future
The Kendall Square Association’s 15th annual meeting, titled “Looking Back, Looking Ahead,” allowed members of the community to reflect on the region’s progress and discuss future plans. The event featured talks on recent funding achievements, a panel discussion on artificial intelligence, and a historical tour. The attendees expressed excitement for the future and highlighted Kendall…
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LivePose: Online 3D Reconstruction from Monocular Video with Dynamic Camera Poses
Dense 3D reconstruction from RGB images typically assumes fixed camera positions, even for mobile devices. However, this assumption doesn’t apply when poses are dynamic (e.g., updated through bundle adjustment and loop closure). While this has been addressed for RGB-D, the RGB-only setting is largely unexplored. We propose to address this gap.
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MIT Researchers Introduce a New Training-Free and Game-Theoretic AI Procedure for Language Model Decoding
Researchers from MIT have developed a new method called CONSENSUS GAME to improve language model (LM) decoding processes. It combines generative and discriminative approaches to extract the best estimate of truth from contradicting signals. The game-theoretic method, known as EQUILIBRIUM-RANKING, outperformed existing techniques in question-answering benchmarks. This research demonstrates how game theory can enhance coherence…
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2 Friends Built AI Tool for $185 Using ChatGPT, Sold It for $150,000
Two friends, Salvatore Aiello and Monica Powers, met at an online event and created an AI tool called DimeADozen. They spent $185 to make it and sold it for $150,000. Even after selling it, they continue to help the tool grow. Lesson learned: small ideas can turn into something big!
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NYC mayor uses deep fakes of his voice to robocall residents
NYC Mayor Eric Adams is using AI-generated deepfake technology to make automated robocalls to his city’s residents. The AI creates audio of Adams speaking in various languages, allowing him to reach a wider audience. While practical, this raises ethical concerns as the recipients are not informed that the voice they hear is AI-generated. Some criticize…
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IBM NorthPole chip promises faster low energy AI processing
IBM Research’s lab in California has developed the NorthPole chip, which could accelerate the realization of AI on the edge. The chip, with 256 cores and its own memory, eliminates the need for off-chip memory, making it faster and more energy-efficient. IBM’s initial results indicate that NorthPole outperforms other chips in terms of power usage,…
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Meet OmniControl: An Artificial Intelligence Approach for Incorporating Flexible Spatial Control Signals into a Text-Conditioned Human Motion Generation Model Based on the Diffusion Process
Researchers have developed OmniControl, a diffusion-based human generation model that incorporates spatial control signals over any joint at any given time. This model addresses the limitations of previous techniques in integrating variable spatial control signals, allowing for more realistic and precise human motion. By combining spatial and realism guidance, OmniControl achieves better motion realism and…