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AI News Weekly - Issue #355: Tech firms accountable for AI ? - Oct 19th 2023

AI Weekly

arstechnica.com Applied use cases New technique based on 18th-century mathematics shows simpler AI models don't need deep learning Researchers from the University of Jyväskylä were able to simplify the most popular technique of artificial intelligence, deep learning, using 18th-century mathematics.

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Interactive Fleet Learning

BAIR

These robots use recent advances in deep learning to operate autonomously in unstructured environments. By pooling data from all robots in the fleet, the entire fleet can efficiently learn from the experience of each individual robot. Using this formalism, we can now instantiate and compare IFL algorithms (i.e.,

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AI and Art: How Artists are Using Artificial Intelligence to Create New Forms of Art?

Becoming Human

AI in art involves the use of computer algorithms to generate, enhance, or manipulate images, videos, music, and other forms of art. AI algorithms can analyze vast amounts of data, identify patterns, and generate new content based on that analysis. Machine Learning Machine learning algorithms can also be used to create art.

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VectorSearch: A Comprehensive Solution to Document Retrieval Challenges with Hybrid Indexing, Multi-Vector Search, and Optimized Query Performance

Marktechpost

While some progress has been made in enhancing retrieval mechanisms through latent semantic analysis (LSA) and deep learning models, these methods still need to address the semantic gaps between queries and documents. This Magazine/Report will be released in late October/early November 2024. Click here to set up a call!

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How AI is changing the way scientists make drugs, biosensors, enzymes and more

Flipboard

RF Diffusion, a deep learning tool. Senior scientist Bobby Langan shows a video of one of his favorite deep-learning tools, used to create experimental cancer therapeutics. Senior scientist Bobby Langan shows a video of one of his favorite deep-learning tools, used to create experimental cancer therapeutics.

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AI Drug Discovery: How It’s Changing the Game

Becoming Human

AI began back in the 1950s as a simple series of “if, then rules” and made its way into healthcare two decades later after more complex algorithms were developed. Since the advent of deep learning in the 2000s, AI applications in healthcare have expanded. A few AI technologies are empowering drug design.

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Enhancing Breast Cancer Diagnosis: A Transparent, Reproducible Workflow Using CBIS-DDSM and Advanced Machine Learning Techniques

Marktechpost

Additionally, CAD algorithms face challenges in reliability due to limited datasets and reduced performance in real-world applications. Researchers from Biomedical Deep Learning LLC and Washington University in St. Also, don’t forget to follow us on Twitter and join our Telegram Channel and LinkedIn Gr oup.