Discover the groundbreaking advancements in robotics as Annie Jacobsen and Joe Rogan discuss a startling innovation: a robot made from living human skin. This fascinating creation not only smiles but raises ethical questions about the future of artificial humans. How close are we to creating a fully artificial person? Join the conversation about the implications of these technologies, especially in countries with different regulations. Don’t miss this eye-opening discussion!
In a scientific breakthrough, Japanese scientists have found a way to attach artificially created living skin to robot faces for more realistic smiles and facial expressions.
#japan #robots #wion.
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Firefly Aerospace’s Blue Ghost lunar lander is set to make history as it targets a March 2 lunar landing near Mare Crisium, a vast plain on the Moon’s near side. Carrying NASA’s cutting-edge science and technology, this mission marks another crucial step in humanity’s return to the Moon under the Artemis program. As part of NASA’s CLPS initiative, Blue Ghost’s success will pave the way for future lunar and Martian exploration.
Mission Overview: Blue Ghost’s Lunar Delivery.
Launched aboard a SpaceX Falcon 9 on January 15, Blue Ghost carries 10 NASA payloads designed to investigate the Moon’s environment and test new technologies for future missions. These experiments will provide critical data on lunar surface conditions, radiation levels, thermal properties, and advanced landing systems—all essential for upcoming crewed missions.
Live Landing Coverage & Key Moments.
The landing event, hosted by NASA and Firefly Aerospace, will be streamed live on NASA+ and Firefly’s YouTube channel starting at 2:20 a.m. EST on March 2, roughly 75 minutes before touchdown. The stream will cover the final descent, landing confirmation, and initial mission updates. A post-landing press conference will follow, where experts will discuss the mission’s success and upcoming science operations on the lunar surface.
Why This Mission Matters.
Blue Ghost is a key part of NASA’s Commercial Lunar Payload Services (CLPS) program, which enables private companies to deliver science and technology to the Moon. These robotic landings will support Artemis astronauts, testing vital systems for future long-term lunar habitation and, ultimately, crewed missions to Mars. NASA’s collaboration with companies like Firefly Aerospace ensures rapid progress in space exploration, resource utilization, and sustainable lunar development.
The Future of Lunar Exploration.
With CLPS contracts valued at $2.6 billion through 2028, NASA is committed to building a strong commercial space ecosystem. The $101.5 million contract awarded to Firefly for this mission underscores the agency’s dedication to fostering innovative, cost-effective lunar transportation solutions. Future missions will refine navigation, in-situ resource utilization, and long-duration surface operations, bringing us closer to a permanent human presence beyond Earth.
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Posted in mathematics, robotics/AI | Leave a Comment on A-MEM: A Novel Agentic Memory System for LLM Agents that Enables Dynamic Memory Structuring without Relying on Static, Predetermined Memory Operations
Paper: https://arxiv.org/abs/2502.12110v1
GitHub Page: https://github.com/WujiangXu/AgenticMemory
Current memory systems for large language model (LLM) agents often struggle with rigidity and a lack of dynamic organization. Traditional approaches rely on fixed memory structures—predefined storage points and retrieval patterns that do not easily adapt to new or unexpected information. This rigidity can hinder an agent’s ability to effectively process complex tasks or learn from novel experiences, such as encountering a new mathematical solution. In many cases, the memory operates more as a static archive than as a living network of evolving knowledge. This limitation becomes particularly apparent during multi-step reasoning tasks or long-term interactions, where flexible adaptation is crucial for maintaining consistency and depth in understanding.
Researchers from Rutgers University, Ant Group, and Salesforce Research have introduced A-MEM, an agentic memory system designed to address these limitations. A-MEM is built on principles inspired by the Zettelkasten method—a system known for its effective note-taking and flexible organization. In A-MEM, each interaction is recorded as a detailed note that includes not only the content and timestamp, but also keywords, tags, and contextual descriptions generated by the LLM itself. Unlike traditional systems that impose a rigid schema, A-MEM allows these notes to be dynamically interconnected based on semantic relationships, enabling the memory to adapt and evolve as new information is processed.
At its core, A-MEM employs a series of technical innovations that enhance its flexibility. Each new interaction is transformed into an atomic note, enriched with multiple layers of information—keywords, tags, and context—that help capture the essence of the experience. These notes are then converted into dense vector representations using a text encoder, which enables the system to compare new entries with existing memories based on semantic similarity. When a new note is added, the system retrieves similar historical memories and autonomously establishes links between them. This process, which relies on the LLM’s ability to recognize subtle patterns and shared attributes, goes beyond simple matching to create a more nuanced network of related information.
Posted in biotech/medical, robotics/AI | Leave a Comment on Early-Stage Cholangiocarcinoma Detection Using Surface-Enhanced Raman Spectroscopy and 1D CNN with Discrete Wavelet Transform
Breakthrough in early detection of cholangiocarcinoma using ai-powered spectroscopy.
In a major advancement for cholangiocarcinoma (CCA) detection, researchers have developed a cutting-edge AI-driven diagnostic method that could revolutionize early cancer screening. Utilizing Surface-Enhanced Raman Spectroscopy (SERS), a powerful non-invasive technique, the team introduced a novel approach combining Discrete Wavelet Transform (DWT) with a one-dimensional Convolutional Neural Network (1D CNN) to distinguish early-stage CCA from precancerous, inflammatory, and healthy conditions.
Unlike traditional Principal Component Analysis (PCA) with Support Vector Machine (SVM), which struggles with nonlinear SERS data and only differentiates late-stage CCA, the new AI-enhanced method provides greater accuracy in detecting early-stage cancer, a crucial factor in improving survival rates. Receiver Operating Characteristic (ROC) curve analysis confirmed its superior performance.
The study, conducted on hamster serum, opens the door for future applications in human diagnostics, potentially transforming cancer detection and treatment. This breakthrough underscores the potential of AI and advanced signal processing in enhancing precision medicine and saving lives through early intervention.
This Early detection of cholangiocarcinoma (CCA) is critical for improving patient prognosis and survival rates. Surface-Enhanced Raman Spectroscopy (SERS) offers a promising non-invasive diagnostic tool due to its high sensitivity and specificity. In this study, we propose a novel approach combining Discrete Wavelet Transform (DWT) and a onedimensional Convolutional Neural Network (1D CNN) for the detection and differentiation of first stage CCA from precancerous, inflammation, and healthy states using SERS data. Our method is compared with a traditional Principal Component Analysis (PCA) followed by Support Vector Machine (SVM) classification. In contrast, the PCA + SVM method could only differentiate late-stage CCA and healthy states due to the nonlinearity of the SERS dataset. Receiver Operating Characteristic (ROC) curve analysis further validates the superior performance of our proposed method. We studied on hamster serum and the concept can be extended to human serum in the near future work.
OpenAi has launched GPT-4.5, which is the company’s largest and best model. The company is releasing a research preview of GPT‑4.5 that’s a step forward in scaling up pre-training and post-training. The latest model improves its ability to recognize patterns, draw connections, and generate creative insights without reasoning.
OpenAI revealed that as per early testing, interacting with GPT‑4.5 feels more natural. It has broader knowledge base, improved ability to follow user intent, and greater “EQ” make it useful for tasks like improving writing, programming, and solving practical problems.
A workshop led by scientists at the Department of Energy’s Oak Ridge National Laboratory sketched a road map toward a longtime goal: development of autonomous, or self-driving, next-generation research laboratories.
Download the report of the “Shaping the Future of Self-Driving Autonomous Laboratories” workshop.
Scientists have dreamed for generations of high-tech laboratories operated via robotics at the push of a button. Recent advancements in artificial intelligence bring those dreams closer to reality than ever before, said Rafael Ferreira da Silva, an ORNL senior research scientist and lead author of the workshop’s report.
Diamonds on Mercury!
Join aerospace engineer Mike DiVerde as he takes you on a fascinating journey exploring NASA’s groundbreaking MESSENGER mission to Mercury. Discover how this remarkable spacecraft mapped our solar system’s innermost planet and uncovered extraordinary findings, including evidence of a potential diamond layer deep within Mercury’s core. Learn about the sophisticated instruments that revealed Mercury’s mysterious surface features, unique geology, and core composition. This comprehensive exploration combines cutting-edge space technology with planetary science to unravel Mercury’s secrets, from its graphite-rich surface to its intriguing magma ocean past. Whether you’re a space enthusiast or simply curious about our cosmic neighborhood, this video offers an expert’s perspective on one of NASA’s most successful deep space missions.
In today’s AI news, Chinese AI start-up DeepSeek wrapped up a week of revealing technical details about its development of a ChatGPT competitor, which was achieved at a fraction of the typical costs, in a move that is poised to accelerate global advances in the field. Over the past few days, DeepSeek published eight open-source projects on GitHub, the world’s largest open-source community.
In other advances, TikTok is preparing to sunset its creator marketplace in favor of a new, more expanded experience, the company has informed businesses and creators via email. The online platform, which connects brands with creators for collaborating on ads and other sponsorships, will stop allowing creator invitations or the creation of new campaigns as of Saturday the company says.
Ll need a Mac with an M1 chip or higher, which means Intel-based Macs are out of the loop. + And, Hume AI has unveiled Octave, an innovative text-to-speech (TTS) system that leverages large language model (LLM) technology to generate contextually aware and emotionally nuanced speech. The incredibly human-like voice tool competitively positions Octave as a leader in AI-driven voice synthesis. Traditional TTS systems often produce context-insensitive speech, which leads to monotonous output.
In videos, Anthropic’s CEO, Dario Amodei, returns to the Hard Fork podcast for a candid, wide-ranging interview. We discuss Anthropic’s brand-new Claude 3.7 Sonnet model, the A.I. arms race against China, and his hopes and fears for this technology over the next two years. Then, we gather up recent tech stories, put them into a hat and close out the week with a round of HatGPT.
And, at the 2025 MIT Bangkok Symposium, Startups and VC Lightning Talks session, the early-entrants include Yunus Sevimli (Almond Fintech), Abhi Yadav (iCustomer), Anuj Bhalla (serviceMob), and Korawad Chearavanont (Amity Solutions). Editors note: I met serviceMob at an Imagination In Action event organized by John Werner of Link Ventures at the MIT-CSAIL Stata Center.
Then, Sam Witteveen looks at olmOCR, the OpenOCR system from Allen AI. There is some additional links for more context of this open OCR project. The collaboration, the blog post about the project, and the macOS version of the product.
Researchers have designed a robotic material that transforms like a living organism.
Inspired by embryos, these disk-shaped robots use magnets, motors, and light to shift between rigid and fluid states. The result? A self-healing, shape-shifting system that could change how we build and interact with materials.
Robots That Behave Like Materials
