bio-neural.ai

ADSys: Asteroid Deflection System to Avoid Human Extinction and Disaster from Potential Near Earth Object(NEO) Impacts Abstract The threat posed by Near-Earth Objects (NEOs) is a significant and ongoing concern for the long-term survival of humanity. While asteroid detection and tracking capabilities are improving, effective deflection strategies are crucial for mitigating the risk of a catastrophic impact. This paper introduces the Asteroid Deflection System (ADSys), a novel approach to asteroid deflection that leverages the asteroid's own momentum and mass to achieve trajectory alteration. The core concept involves deploying a series of tethered weights that, through controlled rotation, impart a consistent and adjustable delta-v to the asteroid. Key innovations include the use of dynamic Pivot-Spring Tethers (PsprTs) that switch between rigid (PivotJoint) and flexible (DampedSpring) behavior, asymmetric weight distribution and tether lengths, and an autonomous AI control system. Simulations using the Pymunk physics engine demonstrate the fundamental feasibility of the concept, showing smooth, controlled deflection of a simulated asteroid. While further refinements are underway, the results presented here, particularly the successful implementation of dynamic tether behavior and the elimination of significant oscillations, warrant immediate and broader investigation. Given the potential urgency of the NEO threat within the 2028-2032 timeframe, this paper calls for parallel development efforts on ADSys and related deflection technologies by the wider scientific and engineering community. https://lnkd.in/gXNViTZw https://lnkd.in/gGJZPniR ©2024 bio-neural.ai, Ava Billions ART, STUDIO 100M, AOG Ent, FWyine Magazine. All Rights Reserved.

ADSys: Asteroid Deflection System to Avoid Human Extinction and Disaster from Potential Near Earth Object(NEO) Impacts Abstract The threat posed by Near-Earth Objects (NEOs) is a significant and ongoing concern for the long-term survival of humanity. While asteroid detection and tracking capabilities are improving, effective deflection strategies are crucial for mitigating the risk of a catastrophic impact. This paper introduces the Asteroid Deflection System (ADSys), a novel approach to asteroid deflection that leverages the asteroid's own momentum and mass to achieve trajectory alteration. The core concept involves deploying a series of tethered weights that, through controlled rotation, impart a consistent and adjustable delta-v to the asteroid. Key innovations include the use of dynamic Pivot-Spring Tethers (PsprTs) that switch between rigid (PivotJoint) and flexible (DampedSpring) behavior, asymmetric weight distribution and tether lengths, and an autonomous AI control system. Simulations using the Pymunk physics engine demonstrate the fundamental feasibility of the concept, showing smooth, controlled deflection of a simulated asteroid. While further refinements are underway, the results presented here, particularly the successful implementation of dynamic tether behavior and the elimination of significant oscillations, warrant immediate and broader investigation. Given the potential urgency of the NEO threat within the 2028-2032 timeframe, this paper calls for parallel development efforts on ADSys and related deflection technologies by the wider scientific and engineering community. https://lnkd.in/gXNViTZw https://lnkd.in/gGJZPniR ©2024 bio-neural.ai, Ava Billions ART, STUDIO 100M, AOG Ent, FWyine Magazine. All Rights Reserved.

The Next Wave of AI is Here: Physical AI 🌍 AI isn’t just transforming the digital world—it’s now embedded in physical systems, learning, adapting, and reshaping industries like manufacturing, logistics, healthcare, and wearables. ✅AI-Powered Prosthetics – Bionic limbs that analyze movement in real time ✅Adaptive Smart Glasses – Lenses that adjust dynamically with AI ✅AI-Integrated Smart Fabrics – Clothing that tracks biometrics and optimizes performance Physical AI is still in its early stages, but it’s already making an impact. The next breakthroughs will depend on better hardware, smarter materials, and real-world adaptability. 💡 Unlike AGI, this isn’t just a prediction—it’s happening now. How do you see Physical AI shaping the future? Drop your thoughts below! 👇 Image Credits: Messari, Made Visual #robotics #artificialintelligence #innovation

🔥 Anthropic Unveils AI’s Impact on the Job Market Anthropic has launched an "Economic Index" to study how AI is reshaping jobs and the economy. 📊 Based on millions of anonymous conversations with Claude: ✅ 57% of AI use enhances human work, while 43% replaces tasks ✅ AI adoption is highest in software development and technical writing ✅ Limited impact on both low- and high-paying jobs 🔍 Anthropic is opening access to this data for further research. 💡 Will AI create more jobs than it replaces? Share your thoughts 👇 #AI #FutureOfWork #Tech #Automation #Anthropic

Read what 351 senior technology executives across 14 sectors who lead organizations earning $1 billion or more have to say about their responsibility for their organizations’ data management, analytics and related infrastructure.

🔥 China's ByteDance drops a game-changing AI paper! Meet OmniHuman-1. A new AI model that can generate realistic human videos from just a single image and audio—in any aspect ratio or body proportion. OmniHuman-1 uses a multimodal motion conditioning approach, handling inputs from video, audio, or both. Unlike previous models, it doesn’t suffer from the usual quality issues in human video synthesis. The result: High-quality, realistic videos, even from audio-only data. Is this where video generation is headed next? Curious to hear your thoughts. 👇 #AI #MachineLearning #ByteDance #GenerativeAI

🎯 Free GenAI Coding Classes – Starting January 2025 Learn to code and master GenAI basics with free, beginner-friendly classes. No prior experience needed—just a passion for learning. What You’ll Learn: - Python essentials: logic, loops, and data structures. - Build solutions with APIs, file handling, and regex. - Develop Object-Oriented Programming (OOP) and modular coding skills. Details: - Sessions: 10-12 weekly classes, 1 hour each. - Format: Live coding and Q&A for hands-on learning. - Start Date: January 2025. Taught by expert instructors, these classes will help you gain the skills that drive innovation in AI and tech today. 👉 Sign up now and share with your network https://lnkd.in/dj3gjsBq #artificialintelligence #techcommunity #coding #python

✍ AI + Google = Professional Emails ✨ Here’s how it works: Now, Gemini is in Gmail. What does that mean for you? - Effortlessly draft emails with AI-powered prompts. - Quickly refine your text for tone, detail, or brevity. - Seamlessly sync across devices for a streamlined workflow. 📥 Save this PDF and integrate Gemini into your daily email routine #AI #Gmail #productivity #emailtips #Gemini

Top Generative AI Terms You Should Always Know- 1. LLM (Large Language Model) What it enables: The engine behind modern AI applications - Business Impact: Powers everything from code generation to content creation - Implementation: Models like GPT-4, Claude, and Gemini 2. Transformers What it enables: The architecture making modern AI possible - Business Impact: Enables processing of complex, contextual information - Implementation: Foundation of models like BERT and GPT 3. Prompt Engineering What it enables: Getting consistent, high-quality outputs from AI - Business Impact: Determines the success of AI implementation - Implementation Strategy:   - System prompts for consistent behavior   - Chain prompts for complex tasks   - Guard rails for safety 4. Fine-tuning What it enables: Customization for specific use cases - Business Impact: Creates specialized AI solutions - Implementation Strategy:   - Domain adaptation   - Task-specific optimization   - Behavior alignment 5. Embeddings What it enables: Making AI understand similarity and context - Business Impact: Powers semantic search and recommendations - Implementation: Vector databases and similarity searches 6. RAG (Retrieval Augmented Generation) What it enables: Combining AI with reliable knowledge bases - Business Impact: Reduces hallucinations, increases accuracy - Implementation:   - Knowledge base integration   - Real-time data access   - Fact verification 7. Tokens What it enables: Resource management and cost control - Business Impact: Directly affects operational costs - Implementation:   - Input optimization   - Output management   - Cost forecasting 8. Hallucination What it enables: Understanding AI limitations - Business Impact: Critical for risk management - Implementation:   - Fact-checking mechanisms   - Confidence scoring   - Source verification 9. Zero-shot Learning What it enables: Flexibility in AI applications - Business Impact: Reduces training requirements - Implementation: Task adaptation without specific training 10. Chain-of-Thought What it enables: Complex problem-solving capabilities - Business Impact: Improves accuracy and explainability - Implementation: Step-by-step reasoning processes 11. Context Window What it enables: Processing capacity for tasks - Business Impact: Determines task complexity handling - Implementation:   - Document chunking strategies   - Memory management   - Conversation design 12. Temperature What it enables: Output control and consistency - Business Impact: Balances creativity and accuracy - Implementation Settings:   - 0.0: Factual, consistent responses   - 0.7-1.0: Creative, varied outputs As GenAI evolves, new terms and concepts emerge regularly. Key areas to watch: - Multimodal AI capabilities - Model compression techniques - Constitutional AI frameworks - Agent-based architectures Understanding these terms is just the starting point. The value comes from knowing how to apply them to real business problems.

Open-source Generative AI Stack More very popular open-source tools that I didn’t include in the image since most are libraries. I’ll list them here (they’re also great starting points!): - Embedding Models Gensim (Python Library): For topic modeling and document similarity. https://lnkd.in/ggDHvu7y SBERT (Python Library) https://lnkd.in/gnDjmWzY - Model Interfaces Hugging Face Transformers: A library for accessing pre-trained transformer models. https://lnkd.in/gfDQe7Ze LangChain (Framework): A Python framework for chaining LLM tasks. GPT4All https://lnkd.in/gaXDAW2Z *Ollama is another great tool that’s quite popular. But since it’s not fully open-source, I didn’t include it. An excellent alternative is GPT4All, which provides open-source LLMs that can be downloaded and run locally. - Data Storage & Retrieval PostgreSQL with pgvector - Model Deployment FastAPI: A lightweight Python framework for creating APIs TensorFlow Serving TorchServe When it comes to open-source LLMs, there are so many great choices, such as: - Llama 2 (Meta): Open-weight but with some licensing restrictions. - Mistral 7B: Open-weight, optimized for efficiency. - Falcon 7B and 40B: Truly open-source with permissive licenses. ... __________________ For more on AI and learning materials, please check my previous posts. I share my learning journey here. Join me and let's grow together. Alex Wang #opensource #generativeai #artificialintelligence