In the contemporary landscape of technological advancements, artificial intelligence (AI) stands at the forefront, driving significant transformations across various sectors. Let’s delve into the critical roles of AI in promoting sustainability and addressing the urgent challenges posed by climate change. From optimizing renewable energy systems and predicting climate phenomena to enhancing urban planning and controlling… →
The rise of AI cartoonizer tools represents an intriguing convergence of technology and creativity. These tools, which use AI algorithms, have transformed how we convert images and movies into cartoon-style representations. AI cartoonizers provide a unique blend of simplicity and elegance, allowing for the creation of striking, stylized pictures with a few clicks. As AI… →
Adopting finetuned adapters has become a cornerstone in generative image models, facilitating customized image creation while minimizing storage requirements. This transition has catalyzed the development of expansive open-source platforms, fostering communities to innovate and exchange various adapters and model checkpoints, thereby propelling the proliferation of creative AI art. With over 100,000 adapters now available, the… →
In this randomized phase II clinical trial, we evaluated the effectiveness of adding the TLR agonists, poly-ICLC or resiquimod, to autologous tumor lysate-pulsed dendritic cell (ATL-DC) vaccination in patients with newly-diagnosed or recurrent WHO Grade III-IV malignant gliomas. The primary endpoints were to assess the most effective combination of vaccine and adjuvant in order to… →
INTRODUCTION: SARS-CoV-2 mainly infects respiratory endothelial cells, which is facilitated through its spike protein binding to heparan sulphate. Calcium dobesilate (CaD) is a well-established, widely available vasoactive and angioprotective drug interacting with heparan sulphate, with the potential to interfere with the uptake of SARS-CoV-2 by epithelial cells. The CADOVID trial aims to evaluate the efficacy… →
Language models are pivotal in advancing artificial intelligence (AI), enhancing how machines process and generate human-like text. As these models become increasingly complex, they leverage expansive data volumes and sophisticated architectures to optimize performance and efficiency. One pressing challenge in this domain is the development of models that manage extensive datasets without prohibitive computational costs.… →
Hebrew is considered a low-resource language in AI. It has a sophisticated root and pattern system and is a morphologically rich language. Prefixes, suffixes, and infixes are added to words to change their meaning and tense or produce plurals, among other things. Words are constructed from roots. The occurrence of several legitimate word forms derived… →
Among the main advancements in AI, seven areas stand out for their potential to revolutionize different sectors: neuromorphic computing, quantum computing for AI, Explainable AI (XAI), AI-augmented design and Creativity, Autonomous Vehicles and Robotics, AI in Cybersecurity and AI for Environmental Sustainability. These technologies promise to enhance current AI capabilities and offer new paradigms in… →
The quest for efficient data processing techniques in machine learning and data science is paramount. These fields heavily rely on quickly and accurately sifting through massive datasets to derive actionable insights. The challenge lies in developing scalable methods that can accommodate the ever-increasing volume of data without a corresponding increase in processing time. The fundamental… →
Computational biology has emerged as an indispensable discipline at the intersection of biological research & computer science, primarily focusing on biomolecular structure prediction. The ability to accurately predict these structures has profound implications for understanding cellular functions and developing new medical therapies. Despite the complexity, this field is pivotal for gaining insights into the intricate… →