«`html A Coding Guide for Building a Self-Improving AI Agent Using Google’s Gemini API with Intelligent Adaptation Features In this tutorial, we will explore how to create a sophisticated Self-Improving AI Agent using Google’s Gemini API. This self-improving agent demonstrates autonomous problem-solving, evaluates performance, learns from successes and failures, and enhances its capabilities through reflective… →
Samsung Researchers Introduced ANSE: Improving Text-to-Video Diffusion Models Samsung Researchers Introduced ANSE: A Model-Aware Framework for Improving Text-to-Video Diffusion Models through Attention-Based Uncertainty Estimation Video generation models have become a core technology for creating dynamic content by transforming text prompts into high-quality video sequences. Diffusion models, in particular, have established themselves as a leading approach… →
CONCLUSION: Subjects belonging to the Gluma desensitizer group reported a statistically significant reduction in postoperative sensitivity to air blast stimuli, following composite restoration, at both 1 week and 1 month follow-up. →

Ever heard of an AI cracking a coding bug that stumped a 30-year C++ FAANG veteran for four years and 200 hours of debugging? That just happened. The hero? Anthropic’s newly unveiled Claude 4. This isn’t just a cool story; it’s a preview of the serious firepower Anthropic is unleashing today with Claude Opus 4… →
CONCLUSION: Integrating KT into a CR programme during the early postoperative phase of cervical spine surgery may improve clinical outcomes, specifically in pain intensity, PPT, disability levels and emotional components. However, the addition of KT to the CR programme does not appear to provide any meaningful benefits in terms of functionality compared to the CR… →

CONCLUSIONS: HAIC-FO is a more cost-effective treatment for advanced HCC than sorafenib from the Chinese payer’s perspective, particularly in patients with Vp4 PVTT and/or high tumour burden. Further research is needed to explore long-term economic implications and real-world effectiveness data. →

Nobel Prize-winning economist Daron Acemoglu challenges the AI revolution narrative with surprising data: AI will likely automate just 5% of tasks and add only 1% to global GDP this decade. And where the internet’s potential was clear early on, AI’s is not, and the technology has yet to deliver applications that can transform production or… →
For some of us, the rapid rise of artificial intelligence might not seem the least bit worrisome. We’re learning about it and testing it. And we’re slowly but surely integrating the new technology into our lives and work. In other words, we’re adapting—just as we did with the emergence of the internet and smartphones and… →
When healthcare economist David Dranove noticed blood in his urine, he wasn’t immediately concerned: hematuria had several causes, many of which were benign. Dranove, a professor of strategy at Kellogg, would later learn he had bladder cancer. Seeking treatment was anything but simple—which, for a healthcare economist, speaks volumes about the complexity of the market.… →