ImandraX: A Breakthrough in Neurosymbolic AI Reasoning and Automated Logical Verification

Imandra Inc., the AI company revolutionizing automated logical reasoning, has announced the release of ImandraX, its latest advancement in neurosymbolic AI reasoning. This landmark release introduces cutting-edge capabilities in proof automation, counterexample generation, and decision procedures, setting a new industry standard for AI-driven logical analysis. As AI systems increasingly power mission-critical applications across industries such…

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Claude 3.7 Sonnet is Anthropic’s AI Resurgence

Anthropic has released Claude 3.7 Sonnet, a highly-anticipated upgrade to its large language model (LLM) family. Billed as the company’s “most intelligent model to date” and the first hybrid reasoning AI on the market, Claude 3.7 Sonnet introduces some major enhancements over its predecessor (Claude 3.5 Sonnet) in speed, reasoning, and real-world task performance.  The…

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How AI is Transforming Early Childhood Learning

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…

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Dr. Joseph Nathan, Co-Founder, President & Chief Medical Officer at ForSight Robotics – Interview Series

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…

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5 Best Large Language Models (LLMs) in February 2025

Large Language Models (LLMs) are advanced AI systems trained on vast amounts of text (and sometimes other data) to understand and generate human-like language. They use deep neural network architectures (often Transformers) with billions of parameters to predict and compose text in a coherent, context-aware manner. Today’s LLMs can carry on conversations, write code, analyze…

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Automating Copyright Protection in AI-Generated Images

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…

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How AI is Transforming Journalism: The New York Times’ Approach with Echo

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…

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Google’s AI Co-Scientist vs. OpenAI’s Deep Research vs. Perplexity’s Deep Research: A Comparison of AI Research Agents

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…

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