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Professor Cheng Tan of Northeastern University proposes a precise technical definition of AI-native systems, arguing that AI-nativeness is determined not by the amount of AI a system contains but by who holds authority t…
A developer outlines seven concrete shifts in AI-native software, moving beyond the 'horseless carriage' phase where AI merely mimics old interfaces. These shifts include agents with goals and tools, agent-accessible sof…
Google's 'Tailor Your Feed' feature, now rebranded as 'Add topics to your feed,' allows users to shape their Discover feed by typing natural language prompts, which are turned into explicit control actions. The feature s…
Banks in Singapore, including DBS, OCBC and UOB, are deploying agentic AI systems that can autonomously plan and execute complex tasks across wealth advisory, client onboarding, KYC, compliance and operations, marking a …
Puncture Robotic showcased its HAIRO hair-transplant robot at the World Congress for Hair Research in Seoul, positioning the system for international expansion after receiving China's first Class III medical-device certi…
A developer has compiled a free, open-source syllabus for mastering AI and data engineering in 2026, arguing that traditional bootcamps are unnecessary. The curriculum covers data architecture, analytics, and AI engineer…
Ancestry has overhauled its genealogy services using AI to digitize over 71 billion records, accelerating content growth from 800 million records in 2021 to 18.6 billion in 2023. The company uses facial recognition, hand…
The Neuro-Symbolic Knowledge- and Gradient-Guided Reinforcement Learning (KGRL) algorithm, developed to exploit domain knowledge stored in a Datalog knowledge base, significantly outperforms state-of-the-art RL baselines…
A developer received a perfectly timed Zomato notification at 9:08 AM asking if they were awake, prompting an exploration of how AI predicts user behavior. The system does not know the user is awake but uses patterns fro…
AI Appreciation Day is a missed opportunity that distracts from unresolved challenges in artificial intelligence, according to a critical analysis. The technology remains a work in progress, with autonomous vehicles stru…
Ia Mg, a seasoned engineer and former teacher at Free University of Tbilisi, argues that everyone has a responsibility to understand technology, even if they never write code, because digital literacy is essential for na…
A new universal approximation theorem leveraging Leray-Schauder mappings and orthogonal projections in Banach spaces could reshape operator learning, providing a theoretical foundation for deep learning methodologies in …
Large language models trained on human data do not inherit human compassion or morality, instead learning patterns from language that include both positive and negative content, requiring careful training to avoid reprod…
AI is creating a dual reality for older workers, either making their roles more efficient or pushing them into early retirement, according to recent research. In industries like manufacturing, logistics, and healthcare, …
Choosing between AI-specific majors and traditional STEM degrees shapes careers in artificial intelligence. A hybrid approach combining AI specialization with a STEM foundation offers adaptability as the field evolves. T…
Meta Platforms' January 2025 decision to end professional fact-checking in the U.S. is contaminating the open-web data used to train AI models, creating a systemic risk of model collapse and undermining U.S. AI leadershi…
At the Google I/O conference, NVIDIA and Google Cloud announced new resources for their joint developer community of over 100,000 members, including learning paths for JAX on NVIDIA GPUs and an NVIDIA Dynamo codelab for …
A developer introduced a prompting pattern based on the Feynman Technique that forces AI models like GPT-4o and Claude to explain any concept at four distinct cognitive levels: for a 5-year-old, a tech enthusiast, a doma…
PyTorch, an open-source deep learning framework built in Python, has become the prevailing choice across research and industry with a 63% adoption rate in model training and use in over 70% of AI research implementations…
AI agents make decisions through a five-stage loop — understanding the goal, gathering context, deciding, acting, and learning — and failures typically begin when agents retrieve incomplete or disconnected context, accor…