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05Dec 25
deepseek’s-self-correcting-ai-model-aces-tough-maths-proofs

DeepSeek’s self-correcting AI model aces tough maths proofs

Credit: Nikolas Kokovlis/NurPhoto via Getty Chinese artificial intelligence company DeepSeek has released a mathematical reasoning model that can identify and correct its own errors. The model beat the best human score in one of the world’s most prestigious undergraduate maths competitions. The model, DeepSeekMath-V2, scored 118 out of 120 points on questions from the 2024

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05Dec 25
an-efficient-dimensionality-reduction-framework-using-metaheuristic-optimization-with-deep-learning-models-for-amyotrophic-lateral-sclerosis-disease-progression-prediction-–-scientific-reports

An efficient dimensionality reduction framework using metaheuristic optimization with deep learning models for amyotrophic lateral sclerosis disease progression prediction – Scientific Reports

References Pancotti, C. et al. Deep learning methods to predict amyotrophic lateral sclerosis disease progression. Sci. Rep. 12 (1), 13738 (2022). Google Scholar  Tavazzi, E. et al. Artificial intelligence and statistical methods for stratification and prediction of progression in amyotrophic lateral sclerosis: A systematic review. Artif. Intell. Med. 142, 102588 (2023). Google Scholar  Ramamoorthy, D.

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05Dec 25
the-ai-shift:-why-are-there-still-so-many-radiologists?

The AI Shift: Why are there still so many radiologists?

Subscribe to unlock this article Try unlimited access Only $1 for 4 weeks Then $75 per month. Complete digital access to quality FT journalism on any device. Cancel anytime during your trial. Explore more offers. FT Digital Edition $12.99 per month Our digitised version of the FT newspaper, for easy reading on any device. Standard

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05Dec 25
comparative-performance-of-deep-learning-models-and-non-dermatologists-in-diagnosing-psoriasis,-dermatophytosis,-and-eczema-–-scientific-reports

Comparative performance of deep learning models and non-dermatologists in diagnosing psoriasis, dermatophytosis, and eczema – Scientific Reports

Data availability The datasets used and/or analyzed during the current study are available from the corresponding author on reasonable request. References Kimball, A. B. Skin differences, needs, and disorders across global populations. In Journal of Investigative Dermatology Symposium Proceedings 13, 2–5. https://doi.org/10.1038/jidsymp.2008.5 (2008). Egeberg, A., Griffiths, C., Williams, H., Andersen, Y. & Thyssen, J. Clinical

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04Dec 25
state-of-aspm-2025:-key-trends-&-emerging-threats

State of ASPM 2025: Key Trends & Emerging Threats

Application security posture management (ASPM) stands at a critical transformation point as cloud-native development scales exponentially and emerging threats target software supply chains with increasing sophistication. Organizations worldwide grapple with attack surfaces that traditional security tools fail to monitor effectively across distributed development environments. This guide examines comprehensive ASPM trends 2025, analyzes market evolution trajectories

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04Dec 25
autonomous-ai-drives-faster-decision-making-at-the-edge

Autonomous AI Drives Faster Decision-Making at the Edge

LAS VEGAS — Autonomous AI applications are critical for applications in disaster management, space exploration and tactical military operations where edge environments are less stable than at data centers and at the enterprise. Agencies are equipping devices, satellites and remote systems with the intelligence needed to operate autonomously, according to AWS experts. “These use cases

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04Dec 25
ai-research-at-ki-paves-the-way-for-more-targeted-and-globally-equal-healthcare

AI research at KI paves the way for more targeted and globally equal healthcare

“At the moment, AI is being used where it’s least needed,” he says. “We’ve inverted that perspective and taken it to environments that lack the necessary expertise and resources.”  Professor Lundin is currently collaborating with Kenya and Tanzania, where there is a desperate need for pathologists.  “In Sweden, we think we’re in trouble with our

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