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Robotics News
Unite
1w
376
Image Credit: Unite
The Struggle for Zero-Shot Customization in Generative AI
- Zero-shot customization in generative AI involves training personalized models like low-rank adaptation (LoRA) models using personal photos to include user identity in generative outputs.
- Customization techniques emerged post the advent of Stable Diffusion, with projects like DreamBooth offering high-gigabyte models, later replaced by lighter and more cost-effective LoRA models.
- Zero-shot customization approaches aim to simplify the process by allowing the system to interpret user-provided photos for personalized outputs without extensive training.
- HyperLoRA introduces a unique method, generating LoRA code on-the-fly for zero-shot personalized portrait generation with high photorealism and editability.
- The training process of HyperLoRA includes isolating specific information in learned weights to prevent identity-relevant features from being influenced by irrelevant elements.
- A three-stage training procedure in HyperLoRA includes learning Base-LoRA, followed by introducing ID-LoRA for encoding facial identity structures using CLIP Vision Transformer and AntelopeV2 encoder.
- HyperLoRA utilizes a phased structure to disentangle identity and non-identity features, enhancing fidelity and editability in personalized image generation.
- The system employs CLIP ViT and AntelopeV2 to extract structural and identity-specific features, passing them through resamplers to generate full LoRA weights on-the-fly.
- HyperLoRA's training utilized 4.4 million face images, leveraging PyTorch and Diffusers on NVIDIA A100 GPUs for ten days, demonstrating improved fidelity and editability compared to other methods.
- Despite significant hardware demands, HyperLoRA offers promise in managing ad hoc customization efficiently, addressing challenges in zero-shot customization in generative AI.
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Silicon
1w
112
Image Credit: Silicon
Ex-Cruise Chief Vogt Raises $150m For Robotics Start-Up
- Former Cruise chief executive Kyle Vogt has raised $150 million in a funding round for his robotics start-up The Bot Company, valuing the company at $2 billion.
- The funding round, led by Greenoaks, indicates investors' and companies' belief in the potential of large language models (LLMs) to reshape robots and enable them to understand complex human-language instructions.
- The Bot Company, which has no customers, products or revenue yet, plans to develop a non-humanoid robot equipped with grips for household tasks.
- Venture capitalists invested around $6.1 billion in robotics in 2023, a 19% increase from the previous year, as part of the broader investment trend in AI.
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Entrepreneurshiplife
1w
250
Image Credit: Entrepreneurshiplife
Your Path to Mastering Robotics with the Best Online Tutors
- Robotics is a blend of science, technology, engineering, and mathematics, offering endless opportunities in various industries.
- Learning robotics opens doors to future-proof careers, promotes creative problem-solving, and involves real-life applications.
- Robotics online courses provide step-by-step lessons, hands-on learning, personalized pacing, and guidance from experts.
- The best robotics tutors simplify complex concepts, offer personalized attention, provide hands-on guidance, and encourage problem-solving.
- In robotics online courses, you learn basics, coding, mechanical design, electronics, AI, machine learning, and work on hands-on projects.
- Factors to consider when choosing a robotics online course include curriculum comprehensiveness, hands-on projects, expert tutors, flexible learning, and student reviews.
- Learning robotics online is convenient, provides access to experts, offers flexible scheduling, and is cost-effective.
- Tips for success in robotics include staying curious, practicing regularly, building a strong foundation, learning from mistakes, collaborating, and staying updated.
- The future of robotics learning will be more interactive with virtual labs, simulations, and AI-powered tutors, making the experience immersive and personalized.
- Mastering robotics with online courses and expert guidance can lead to a successful career and innovative opportunities in the field.
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Bigdataanalyticsnews
1w
251
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Top 20 Open-Source LLMs to Use in 2025
- In 2025, open-source large language models (LLMs) are becoming more powerful, democratizing access to advanced AI capabilities.
- Key models in the open-source ecosystem offer unique strengths for various applications in AI.
- LLMs are transformer-based AI systems with hundreds of millions to billions of pre-trained parameters.
- Models like Llama 3.3, Mistral-Large-Instruct-2407, and Gemma-2-9b-it excel in different tasks such as chatbots, NLP, and coding assistance.
- LLMs like DeepSeek R1, Claude 3.5 Sonnet, and GPT-4 Turbo offer enhanced reasoning and efficiency for AI tasks.
- Alibaba's Qwen2.5-72B-Instruct and Elon Musk's xAI's Grok 3 are notable models for enterprise and conversation AI.
- Choosing the right LLM depends on factors like use case, model size, open-source licensing, and compute requirements.
- Open-source LLMs provide cost-effective solutions, customization, transparency, and independence from major AI providers.
- They also offer faster innovation, community support, multi-language capabilities, and ethical AI practices.
- With open-source LLMs shaping the future of AI, developers have powerful tools for coding, research, and automation.
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TechCrunch
1w
1.1k
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Former Cruise CEO Kyle Vogt’s new robotics startup reportedly raises another $150M
- Robotics startup The Bot Company, co-founded by former Cruise CEO Kyle Vogt, has raised $150 million in a funding round led by Greenoaks.
- The Bot Company, established less than a year ago, aims to develop robots for household chores.
- The startup had previously secured $150 million in funding from various investors.
- Kyle Vogt resigned as CEO of Cruise, the autonomous vehicle startup he founded, following a pedestrian accident involving a Cruise vehicle.
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Dev
1w
130
Image Credit: Dev
🚀 From Sci-Fi to Theme Parks : Our Favourite Robots Are Coming to Life! 🤖💙
- Nvidia introduced a new robot called 'Blue', built in collaboration with Disney and Google DeepMind.
- Blue is powered by Nvidia's new Newton physics engine and can learn, move with emotion, and express itself through gestures and beeps.
- Blue is set to be introduced in Disney theme parks soon, allowing people to meet and interact with the robot.
- The development of robots like Blue opens up possibilities for building fictional characters like WALL·E and Baymax in the real world.
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The Robot Report
1w
184
BlueHalo wins $30M follow-on contract with the U.S. Navy
- BlueHalo LLC has won a $30,735,784 contract to provide engineering and support services for its Maritime Expeditionary Standoff Response (MESR) systems.
- The contract, issued by the Naval Information Warfare Center (NIWC) Pacific, supports the U.S. Navy's operations using the Mission Specialist Defender remotely operated vehicle (ROV).
- BlueHalo's Mission Specialist Defender is designed for high-risk maritime missions and provides high maneuverability, payload integration, and operational flexibility.
- BlueHalo's acquisition of VideoRay reinforces its role in delivering advanced underwater robotic technology for expeditionary missions, mine countermeasures, and underwater security.
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Unite
1w
391
Image Credit: Unite
The Rise of AI-Powered Coding: Efficiency or a Cybersecurity Nightmare?
- AI-powered coding tools are transforming software development by automating tasks, providing debugging assistance, and increasing productivity.
- While these tools offer benefits like faster coding and reduced errors, they also pose risks such as cybersecurity threats and job displacement.
- AI in software development has evolved from basic syntax corrections to generating entire code blocks, revolutionizing the industry.
- GitHub Copilot, Amazon CodeWhisperer, and similar platforms have streamlined code creation and reduced manual coding time.
- AI addresses the shortage of skilled developers, allowing teams to focus on complex problem-solving rather than repetitive coding tasks.
- Despite enhancing productivity, AI-led coding tools raise concerns about cybersecurity vulnerabilities and job skills erosion.
- Security risks include AI-generated code with vulnerabilities like SQL injections and weak authentication mechanisms.
- Over-reliance on AI may lead to declining coding expertise and increased susceptibility to cyberattacks.
- Cybercriminals are leveraging AI to automate attacks, increasing the sophistication and scale of digital threats.
- Mitigating these risks requires a balanced approach, combining AI benefits with rigorous security audits and human oversight.
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Siliconangle
1w
92
Image Credit: Siliconangle
Nvidia GTC takeaway: AI will follow the data
- At Nvidia's GTC keynote, CEO Jensen Huang discussed AI in the context of cloud, data centers, and robotics, emphasizing the importance of data locality.
- The rise of a new computing era driven by extreme parallel processing and accelerated computing is transforming the trillion-dollar data center business.
- Data center spending grew significantly in 2024, with AI workloads seeing a substantial increase while traditional workloads declined.
- During market transitions like the shift to AI workloads, companies must adapt quickly to align with new conditions and technologies to succeed.
- David Floyer's methodology analyzes technology adoption based on value, volume, and velocity, offering insights into market transitions.
- Upcoming analysis will focus on the AI inference at the edge of networks and the robotic opportunity, aiming to quantify the potential market.
- Quantifying the massive AI market will aid in forecasting the transition to accelerated workloads and drive better understanding of emerging technologies.
- Disclosure: Statements made regarding companies are views held by SiliconANGLE Media and should not be considered as investment advice.
- SiliconANGLE co-founder, John Furrier, emphasizes the importance of community support to provide free, relevant content in the industry.
- Community support is vital for platforms like TheCUBE to continue delivering valuable content and insights from industry experts.
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Medium
1w
417
Image Credit: Medium
HardTech Reads: The AI & Robotics Revolution vol. 24
- Dobot introduces Atom, a humanoid robot with 28 degrees of freedom and advanced precision, targeting household use.
- Woven City, Toyota's smart city project, runs on hydrogen fuel cells and emphasizes data privacy, set to open in 2026.
- FANUC reports a 16% decline in robot sales due to economic uncertainty, impacting global manufacturing sectors.
- General Fusion advances in plasma tech aiming for scientific break-even by 2026, boosting alternative energy development.
- GigaCrop secures funding for advanced agricultural technologies combining AI and plant science for enhanced crop productivity.
- Tera AI unveils a hardware-agnostic navigation system for autonomous robots, facilitating seamless deployment across various platforms.
- Epirus raises $200M for innovative directed energy systems to counter aerial threats, focusing on national defense and infrastructure protection.
- Aescape secures $83M funding to develop AI-powered massage therapy systems for gyms, hotels, and clinics.
- Zeitview raises $60M to deploy AI-driven software for inspecting critical energy infrastructure assets using drones.
- Viam's $30M Series C funding supports their cloud-based software platform simplifying robotic system development and management.
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The Robot Report
1w
355
The future of flight: How autonomous systems are shaping the next generation of UAVs
- Autonomous systems are transforming the drone industry, enabling UAVs to operate independently with precision and adaptability.
- The global UAV market is projected to reach $58.4 billion by 2028, driven by advancements in autonomy.
- Challenges of autonomous UAVs include ensuring safety in crowded airspace and building regulatory frameworks for innovation.
- Autonomous UAVs are revolutionizing agriculture, logistics, and search and rescue operations with enhanced efficiency and capabilities.
- Industries like defense and infrastructure are heavily investing in autonomous UAVs for improved mission success rates and cost reduction.
- Technical and regulatory hurdles, such as airspace integration and cybersecurity risks, remain significant obstacles for fully autonomous UAVs.
- Public trust in UAVs is crucial for widespread adoption, requiring transparency, accountability, and proven reliability.
- Advancements in AI and sensor technologies are expanding the possibilities of UAV applications, from exploration to disaster response.
- The future of autonomous UAVs lies in pushing the boundaries of autonomy, with potential for significant impact across various industries.
- Author Hamed Khalkhali, a seasoned leader in engineering, emphasizes the transformative power of autonomous systems in shaping the future of UAVs.
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Medium
1w
254
Image Credit: Medium
The Ghost in the Machine: Is Nvidia Losing Control of AI’s Future?
- Nvidia, known for their powerful chips and AI models, is redefining the industry by powering the next stage of the AI revolution.
- Recent advances in AI require exponential increase in computing power, especially for agent-based AI that can make decisions on its own.
- Jensen Huang, Nvidia's CEO, identifies increasing computational demands and highlights the need for significant computing power in reasoning models.
- Nvidia is addressing challenges such as surging energy requirements and geopolitical threats to maintain control in the future of AI.
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The Robot Report
1w
304
Recap: Check out the robots at Promat and GTC 2025
- In Episode 188 of The Robot Report Podcast, co-hosts Steve Crowe, Mike Oitzman, and Eugene Demaitre recap robotics encountered at ProMat 2025 and NVIDIA GTC 2025.
- Steve and Gene attended ProMat in Chicago, while Mike attended GTC in San Jose, CA.
- The podcast provides a timeline of the show, with Steve and Gene recapping ProMat and Mike recapping GTC.
- The episode also highlights robot demos, such as Agility Robotics Digit humanoid and 1X NEO humanoid at GTC 2025, as well as Disney Engineering BDX robots.
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Siliconangle
1w
232
Image Credit: Siliconangle
From GPUs to global networks: Equinix’s blueprint for an AI-ready world
- Equinix Inc. leverages advancements in Nvidia's new GPUs and networking-focused hardware to bring full-powered AI to bear.
- Equinix is positioned as the AI-ready data center and offers necessary resources to support Nvidia's cutting-edge AI workloads.
- The partnership between Equinix and Nvidia enables the deployment of instant AI factories, eliminating the need to build one's own AI factory.
- Equinix's strong partnership ecosystem, innovative infrastructure, and commitment to democratizing AI make it a key enabler of the AI revolution.
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