Category: Unite.AI

As the currency of the future, collecting data is a familiar process for companies. However, the previous era of technologies and toolsets restricted businesses to simple, structured data, such as transactional information and customer and call center conversations. From there, brands would use sentiment analysis to see how customers felt about a product or service.

Joseph Nathan, MD, MSc is the Co-Founder, President and Chief Medical Officer at ForSight Robotics. Dr. Nathan has over 20 years of experience in medical innovation. Previously, he directed healthcare commercialization at the Technion – Israel Institute of Technology, and served as Director of New Ventures for the Technion’s Alfred Mann Institute, a $100M joint

A child’s brain is an extraordinary learning engine, capable of absorbing information at an astonishing rate and forming complex cognitive, emotional, and behavioral connections during early childhood. This critical developmental period is now being shaped in new and extraordinary ways as AI moves beyond being a passive tool to an active participant in a child’s

As discussed last week, even the core foundation models behind popular generative AI systems can produce copyright-infringing content, due to inadequate or misaligned curation, as well as the presence of multiple versions of the same image in training data, leading to overfitting, and increasing the likelihood of recognizable reproductions. Despite efforts to dominate the generative

Have you ever spent hours trying to create a simple online form, only to end up frustrated by limited customization and clunky interfaces? According to research, businesses waste an average of 26% of an employee’s day is wasted on avoidable administrative tasks and outdated processes. I recently came across Formaloo, and it isn’t just another

Artificial Intelligence (AI) is changing how news is researched, written, and delivered. A 2023 report by JournalismAI, a research initiative at the London School of Economics (LSE), found that 85% of news organizations have experimented with AI tools to assist with tasks like summarizing articles, generating headlines, and automating content recommendations. AI, instead of being

Rapid advancements in AI have brought about the emergence of AI research agents—tools designed to assist researchers by handling vast amounts of data, automating repetitive tasks, and even generating novel ideas. Among the leading agents include Google’s AI Co-Scientist, OpenAI’s Deep Research, and Perplexity’s Deep Research, each offering distinct approaches to facilitating researchers. This article

Large Language Models (LLMs) have significantly advanced natural language processing (NLP), excelling at text generation, translation, and summarization tasks. However, their ability to engage in logical reasoning remains a challenge. Traditional LLMs, designed to predict the next word, rely on statistical pattern recognition rather than structured reasoning. This limits their ability to solve complex problems

Imagine a research partner that has read every scientific paper you have, tirelessly brainstorming new experiments around the clock. Google is trying to turn this vision into reality with a new AI system designed to act as a “co-scientist.”  This AI-powered assistant can sift through vast libraries of research, propose fresh hypotheses, and even outline

Elon Musk’s xAI has introduced Grok-3, a next-generation AI chatbot designed to change the way people interact on social media. Integrated directly into X (formerly Twitter), Grok-3 is built to provide more intelligent, personalized, and engaging conversations, making it a powerful tool for both users and businesses. Launched on February 18, 2025, Grok-3 is faster