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Researchers are exploring how to replicate classical algorithms—such as shortest path-finding and sorting—within deep neural networks to address key weaknesses in modern AI, including lack of provable correctness, poor g…
Microsoft CEO Satya Nadella discussed the company's competitive positioning, its partnership with OpenAI, and AI infrastructure investments in a new interview. Nadella addressed Microsoft's business model in the age of A…
Scientists at Sissa Medialab and Princeton University found that transfer learning can reduce the number of expensive cosmological simulations needed to search for new physics by more than a factor of ten. However, the A…
Professionals should focus on clear business goals, data quality, simple models, careful validation, realistic costs, and human judgment rather than chasing the latest technology, according to Iavor I. Bojinov, Associate…
Robert McDonald has released an open-source demo concept called SpiralOS, an AI assistant designed to help people without constant WiFi access or teachers by pulling information only from trusted real books. The long-ter…
A developer explains that modern AI applications are powered by an ecosystem of transformers, tools, retrieval systems, memory, vector databases, orchestration frameworks, and guardrails, not a single model. The industry…
A developer at the École Supérieure Polytechnique of Dakar (ESP-UCAD) has built AILEF, a universal engineering framework for the AI lifecycle, as part of a Master's thesis in Artificial Intelligence and Big Data. The fra…
This article explains how developers and open-source communities collaborate, using the KServe project as a real-world example. It describes the step-by-step process of contributing to open-source projects on GitHub, emp…
A developer argues that Human-in-the-Loop (HITL) is the critical engineering concept determining whether humans remain relevant in an AI-saturated economy. The post warns that without HITL, workers risk becoming like the…
Researchers Albert Gu and Tri Dao introduced Mamba, a State Space Model (SSM) that rivals Transformer performance while overcoming the quadratic bottleneck in attention mechanisms, enabling efficient processing of sequen…
Adhi, an Artificial Intelligence & Data Science student, has introduced himself to the DEV Community, outlining his focus on AI, Machine Learning, Full Stack Development, Generative AI, and Data Science. He emphasizes a …
Jozef Skakala's arXiv preprint (2508.10178) proposes using a computationally cheap ensemble of neural networks to estimate marine carbon pools across the North-West European Shelf (NWES). The deep ensemble, trained on a …
A new analysis by Anisa Knouche argues that human-in-the-loop (HITL) systems face structural limitations from cognitive load fatigue, cost, and scalability, proposing human-on-the-loop (HOTL) supervision as systems scale…
Yann LeCun, a 2018 Turing Award winner and pioneer of deep learning, discussed the rapid adoption of neural networks in speech recognition, image recognition, and natural language processing over the past fifteen years. …
An SRE engineer's exploration of decision trees reveals that unlike logistic regression, decision trees are grown through local optimization rather than global gradient descent, making them intuitive for operational syst…
AWS leaders at the Sales, Marketing and Global Services (SMGS) organization now use NarrateAI, an AI-powered conversational assistant built on Amazon Bedrock AgentCore, to access real-time business intelligence through n…
A group of researchers argues that artificial intelligence should be viewed as normal technology, rejecting both utopian and dystopian visions that treat AI as a separate, superintelligent entity. They describe this fram…
Researchers used a consumer-grade EEG device to monitor cognitive load in online learning, achieving 78.5% accuracy in identifying difficult video segments with a machine learning model. However, the small sample size of…
Reinforcement learning researchers are debating the 'one-step trap,' where models prioritize immediate rewards over long-term goals, potentially undermining the development of sustainable decision-making in AI systems. T…
China announced the initial scale deployment of embodied AI in complex automotive supply chains, challenging Western dominance in high-value manufacturing. The move aligns with Beijing's 'Made in China 2025' strategy to …