LeoLabs zeroes in on anomalies in satellite operations

LeoLabs zeroes in on anomalies in satellite operations

COLORADO SPRINGS – LeoLabs, the Silicon Valley startup mapping activity in low-Earth orbit, is relying on artificial intelligence to spot anomalous satellite operations. A LeoLabs visualization tool shown at the 39th Space Symposium tracks maneuvers performed by satellites that change their orbits frequently. And it highlights maneuvers conducted by satellites that did not typically perform them. Three of the first satellites in a Chinese communications constellation that could include 12,000 satellites, for example, remained in stable orbits for months after they were launched in late 2023. “Then at the same time, all three executed an organized maneuver campaign,” Owen Marshall,…
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AT&T CEO: Focused on Always-On Connectivity

AT&T CEO: Focused on Always-On Connectivity

AT&T CEO John Stankey joins Caroline Hyde and Ed Ludlow following his comments on the company's multi-year growth strategy at the JPmorgan technology conference. He discusses slowing demand for handsets, always-on connectivity, and why he thinks AST is more "consumer-centric" than Starlink. He speaks on "Bloomberg Technology." (Source: Bloomberg) Source link lol
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Data Machina #251

Data Machina #251

Three New Powerful Open AI Models. I’m told by colleagues at Hugging Face that just a week since LLama-3 was released, more than +10,000 model derivatives have been developed! The pressure on black-box, closed AI models is huge, and achieving GPT-4 performance with open, smallish models is upon us. Which is great. In the last few days, three new, smallish, powerful open AI models were released. Interestingly enough, the power of these 3 models is based on a combination of: 1) Innovative training architectures and optimisation techniques, and 2) Data quality for different types of data (synthetic, public or private).…
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Consultant behind deepfaked Biden robocall fined $6m for Democratic primary scheme

Steve Kramer, a political consultant who admitted that he deepfaked Joe Biden’s voice in a robocall that was sent out to thousands of US voters in January 2024, has been indicted and fined $6m.The robocall, which went out ahead of the first Democratic presidential primary in the US in New Hampshire, used artificial intelligence to fake Biden’s voice telling voters to stay home and “save” their votes for the November general election.Ten criminal charges were filed against Kramer out of Rockingham County on 22 May, including allegations of bribing, intimidation and impersonation of candidates, TV station WMUR in New Hampshire…
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Thoughts on Academia and Industry in Machine Learning Research • David Stutz

Introduction By construction, a PhD has a clear end. Depending on the program, country and field, a PhD is supposed to be done within 3-6 years when it is usually awarded after an official defense of the research work. This is in contrast to most other careers and jobs, especially in industry but also in the public sector. Even though a PhD is often considered as a qualification for independent research and thereby acts as the entry to an academic career, it is commonly assumed that most PhD graduates do not continue in academia. This also matches my impression and…
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How Science Fiction Shapes Tomorrow’s Tech

How Science Fiction Shapes Tomorrow’s Tech

The below is a summary of the first episode of my Synthetic Minds podcast. Think science fiction is just for entertainment? Think again. It's time for businesses to read today's sci-fi to shape tomorrow's reality. In the debut episode of the Synthetic Minds podcast, Dr. Mark van Rijmenam chats with Karl Schroeder, a science fiction author and strategic foresight consultant. They delve into how sci-fi narratives, like Schroeder's “Stealing Worlds” and “Lady of Mazes,” provide valuable insights for navigating future technological landscapes. These stories blend AI, blockchain, and mixed reality to imagine radical shifts in governance and personal freedoms, offering…
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Don’t Mock Machine Learning Models In Unit Tests

Don’t Mock Machine Learning Models In Unit Tests

I’ve been applying typical unit testing practices to machine learning code and it hasn’t been straightforward. In software, units are small, isolated pieces of logic that we can test independently and quickly. In machine learning, models are blobs of logic learned from data, and machine learning code is the logic to learn and use these derived blobs of logic. This difference makes it necessary to rethink how we unit test machine learning code. How ML code differs from regular software In software, we write code that contains logic; in ML, we write code that learns logic and then uses that…
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Key role of AI accelerators in economic growth & social development

Key role of AI accelerators in economic growth & social development

In today's rapidly evolving digital landscape, artificial intelligence (AI) stands as a transformative force with the potential to revolutionize industries, spur innovation, and drive economic growth. However, unlocking the full potential of AI requires overcoming significant computational challenges. This is where AI accelerators come into play. AI accelerators, specialized hardware designed to optimize AI workloads, play a crucial role in accelerating AI adoption, powering economic growth, and fostering social development.Acceleration of AI adoptionAI accelerators serve as catalysts for the widespread adoption of AI technologies across various sectors. By enhancing the speed and efficiency of AI computations, these specialized hardware solutions…
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