Latest AI & Business News
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Google Says It Won’t Force Gemini on Partners in Antitrust Remedy Proposal
Google dominated the last era of search. Now the company and the US Justice Department are battling over how to set a fair playing field for generative AI.
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December Wildfires Are Now a Thing
Expect more fires like the fast-moving one in Malibu, scientists say.
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How to Manage Food Anxiety Over the Holidays
The festive period can be stressful, particularly for those who struggle with food anxiety, weight concerns, or an eating disorder. Here are some tips for navigating an intense time of year.
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Mystery Drone Sightings Lead to FAA Ban Despite No Detected Threats
Plus: Google’s U-turn on creepy “fingerprint” tracking, the LockBit ransomware gang’s teased comeback, and a potential US ban on the most popular routers in America.
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A Spacecraft Is About to Fly Into the Sun’s Atmosphere for the First Time
On Christmas Eve, NASA’s fastest-moving probe will come closer than ever to the surface of the sun.
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To Improve Your Gut Microbiome, Spend More Time in Nature
Microbes found in green spaces can transfer into your body, increasing bacterial diversity and potentially boosting the strength of the immune system.
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Music Can Thrive in the AI Era
It’s past time we applauded the creative skills of LLMs—and it might make us appreciate humans more too.
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Hugging Face Released Moonshine Web: A Browser-Based Real-Time, Privacy-Focused Speech Recognition Running Locally
The advent of automatic speech recognition (ASR) technologies has changed the way individuals interact with digital devices. Despite their capabilities, these systems often demand significant computational power and resources. This makes them inaccessible to users with constrained devices or limited access to cloud-based solutions. This disparity underscores an urgent need for innovations that deliver high-quality…
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Can AI Models Scale Knowledge Storage Efficiently? Meta Researchers Advance Memory Layer Capabilities at Scale
The field of neural network architectures has witnessed rapid advancements as researchers explore innovative ways to enhance computational efficiency while maintaining or improving model performance. Traditional dense networks rely heavily on computationally expensive matrix operations to encode and store information. This reliance poses challenges when scaling these models for real-world applications that demand extensive knowledge…
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Absci Bio Releases IgDesign: A Deep Learning Approach Transforming Antibody Design with Inverse Folding
Designing antibodies with high specificity and binding affinity to diverse therapeutic antigens remains a significant challenge in drug development. Current methods struggle to effectively generate complementarity-determining regions (CDRs) responsible for antigen binding, especially the highly variable heavy chain CDR3 (HCDR3). These difficulties are mainly due to poor generalization of the already existing computational models to…