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Robotics News
TechCrunch
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MDC is building a surgical robot that operates inside an MRI
- MDC is building a surgical robot that operates inside an MRI.
- The robot utilizes high stiffness, low friction hydraulic transmissions and actuators powered by water.
- It allows for dexterous control directly by the physician, enabling new capabilities beyond what is currently possible.
- MDC is initially targeting biopsies and ablations, with plans to expand to other procedures in the future.
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The Robot Report
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Doctor describes first robotic high intensity ultrasound procedures with Focal One, Unfold AI
- EDAP TMS SA and Avenda Health are collaborating to offer personalized prostate cancer care using Avenda's Unfold AI technology.
- The Focal One robot, combined with Unfold AI's planning, allows for tailored, patient-specific high-intensity focused ultrasound (HIFU) ablation procedures for prostate cancer patients.
- Unfold AI builds 3D patient-specific cancer maps that reveal the extent of tumors, helping physicians avoid leaving cancerous tissue behind while sparing healthy surrounding tissue.
- The technology improves the ability to predict tumor extent, delivers treatment guided by robotics, and reduces the risk of incomplete ablations in HIFU procedures.
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Unite
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GMI Cloud Secures $82M in Series A Funding to Drive Global AI Infrastructure Expansion with Advanced GPU Solutions
- GMI Cloud has raised $82 million in Series A funding to address the growing demands for advanced AI infrastructure.
- The funds will enable GMI Cloud to open a new data center in Colorado, enhancing its capacity to serve North America.
- GMI Cloud offers a vertically integrated platform combining top-tier hardware with robust software solutions for AI deployment.
- GMI Cloud integrates NVIDIA GPUs and is establishing itself as a foundational platform for Artificial General Intelligence (AGI).
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Unite
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Tackling Misinformation: How AI Chatbots Are Helping Debunk Conspiracy Theories
- Misinformation and conspiracy theories are major challenges in the digital age.
- AI chatbots are essential tools in combating misinformation.
- Conspiracy theories have exploded with the advent of the internet and social media.
- Algorithms designed to keep users engaged often prioritize sensational content, allowing false claims to spread quickly.
- AI chatbots offer personalized responses to users' questions and concerns in dealing with conspiracy theories' complex and emotional nature.
- AI chatbots use advanced NLP algorithms to understand and interpret human language.
- AI chatbots can instantly access vast databases of verified information, allowing them to present users with evidence-based responses tailored to the specific misinformation in question.
- Research has shown that AI chatbots can significantly reduce belief in conspiracy theories and misinformation.
- AI chatbots face several challenges, including the potential biases in their training data and limited user engagement.
- The future of AI chatbots in combating misinformation looks promising.
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Unite
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Alex de Vigan, Founder and CEO at Nfinite – Interview Series
- Nfinite transforms the online shopping experience by offering retailers and brands AI-powered, immersive, engaging, and personalized visual content at scale.
- Founder, Alex de Vigan, has a background in law and finance, which provided valuable insights into business operations and market inefficiencies.
- Nfinite was founded to address the gap in traditional product photography which was costly, time-consuming, and lacked scalability.
- Nfinite uses 3D modeling and artificial intelligence to generate vast amounts of photorealistic content, which can be easily adapted for different contexts.
- Human designers play a critical role in ensuring that the final output meets Nfinite's high standards of quality and creativity.
- Retailers utilize Nfinite's 3D assets to create more immersive and interactive shopping experiences, leading to higher engagement and increased conversion rates.
- Nfinite's 3D datasets provide essential training data for AI models used in industries like augmented reality, robotics, and beyond.
- Nfinite's focus on creating enriched 3D datasets positions them well to contribute to the shift towards enhanced spatial intelligence and immersive digital experiences.
- Nfinite's long-term growth strategy lies in spatial AI, where they plan to invest in building large datasets enriched with spatial metadata and partnering with tech companies to develop AI models that can understand and generate 3D environments.
- Nfinite aims to be at the forefront of the spatial intelligence revolution.
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The Robot Report
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MicroPort surgical robot completes first telesurgery procedures in Africa
- MicroPort recently completed six robot-assisted laparoscopic procedures using its MedBot surgical robot in Angola.
- The surgeries were led by Dr. Vipul Patel from the Global Robotics Institute.
- Two of the surgeries were the first telesurgery procedures in sub-Saharan Africa using the Toumai system.
- Toumai's telesurgery function could be a game-changer for regions with limited access to specialized care.
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Unite
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AI’s Growing Role in Combating Deforestation
- Deforestation has been an ongoing problem for decades. Even as technology has advanced, offenders have held the advantage because there’s simply too much land to cover — until now.
- AI can pinpoint areas where replanting would be most effective. It could also identify fast-growing, native tree species resistant to pests and drought. Once the saplings are planted, it can monitor growth in real time.
- AI-powered image recognition technology can detect early indicators of forest loss, including new roads, smoke and new clearings. Teams can even use AI-powered drones for up-close aerial views.
- AI fills in the gaps by analyzing the color, texture and extent of tree cover, eliminating the guesswork.
- AI-enabled Internet of Things (IoT) surveillance systems powered by miniature solar panels for acoustic monitoring can be placed just about anywhere, so they can pick up those audio cues.
- AI can track heavy machinery as it moves from newly created clearings back to its base station, helping investigators narrow their search. Alternatively, it can employ facial recognition technology to uncover the identities of those involved.
- With AI image recognition, language detection and automatic transcription, researchers can finally secure these valuable insights.
- Researchers at the World Wildlife Fund collaborated with computer scientists to develop an AI called Forest Foresight. It can predict forest loss up to six months in advance with upwards of 80% accuracy.
- AI-enabled IoT sensors strategically placed in high-risk forests can track methane, carbon monoxide and carbon dioxide emissions. If they suddenly spike, teams can investigate further.
- Deploying AI for this use case is ideal because a single model can hold dozens — if not hundreds or thousands — of conversations at once. Those interacting with it don’t need to wait for business hours or be put on hold, incentivizing them to send a message.
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Unite
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CRM vs CMS: Key Differences and Synergies
- Customer Relationship Management (CRM) and Content Management Systems (CMS) often work together to enhance customer engagement. CRMs help businesses build strong customer relationships by tracking interactions and managing sales while CMSs make it easy to create or publish content on websites. CRMs store important customer data while CMSs help to create, organize, and publish website content without the need for coding.
- CRM systems come with several key features such as Contact Management, Sales Pipeline Management, and Customer Analytics, while CMS solutions come with essential features like Intuitive Search and Retrieval, Publishing Controls, and Version Control.
- Implementing a CMS provides numerous advantages for businesses, including easy content updates, time and cost savings, and consistent branding. Popular CMS solutions include WordPress, Wix, and Joomla.
- CRM integrates with email marketing, e-commerce platforms, and analytics tools, while CMS integrates with social media, SEO tools, Plugins, and analytics services.
- CRMs and CMSs also share common features such as Data Handling, Task Management, Analytics and Reporting, Contact Management, and Customization Options.
- Integrating CRM and CMS provides several advantages, including enhanced customer insights, streamlined processes, and improved personalization. Future Considerations should include flexibility, strong API capabilities, and regular updates.
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The Robot Report
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MIT develops multimodal technique to train robots
- MIT researchers have developed a technique that combines data from many sources to teach any robot a vast range of tasks.
- This method requires fewer task-specific data and combines simulations and real-world data.
- This approach can be used to train robots quickly without the need to start training a robot from scratch.
- Their new technique aligns data from varied domains and multiple modalities into a shared 'language' that generative AI models process.
- Their architecture is called Heterogeneous Pretrained Transformers that unifies data from varied modalities and domains.
- Proprioception data is key to enable dexterous motions, and it is placed with the same importance as vision data in the architecture.
- HPT improved robot performance by more than 20% on simulation and real-world tasks compared with a robot trained from scratch.
- In the future, the researchers want to study how data diversity could boost the performance of HPT.
- They also want to enhance the HPT so it can process unlabeled data like GPT-4 and other large language models.
- Their dream is to have a universal robot brain, which anyone can use for their robot without any training.
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Dev
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How does Cognitive Science influence knowledge Representation in AI?
- Cognitive science studies how the human mind perceives, learns, remembers, and processes knowledge, and integrates concepts from multiple disciplines like psychology, neuroscience, philosophy, and computer science.
- Knowledge representation (KR) refers to how information about the world is structured to allow machines to reason and make decisions efficiently, and serves as the foundation for AI systems that perform inference, decision-making, and problem-solving.
- Humans use categories to simplify decision-making and reasoning processes, which has inspired AI systems to incorporate these principles through semantic networks, ontologies and other examples.
- Cognitive models influence human-robot interaction (HRI) by enabling robots to interpret human intentions with the help of knowledge representation.
- Ensuring that AI systems that rely on cognitive-inspired models remain transparent and interpretable is crucial for trust and accountability.
- Implementing cognitive-inspired AI models can be computationally expensive, requiring significant resources for real-time processing, and developing efficient algorithms that balance performance and accuracy is essential.
- The intersection of cognitive science and AI continues to evolve, with promising developments in areas like Neuro-symbolic AI, Emotionally intelligent AI systems, and Lifelong learning models.
- Cognitive science plays a crucial role in shaping how AI systems represent and process knowledge, and mimicking human reasoning, categorization, and memory models, AI systems can become more intelligent and adaptive.
- However, challenges like ambiguity, explainability, and computational complexity must be addressed to unlock the full potential of cognitive-inspired AI systems.
- As research advances, the collaboration between cognitive science and AI will lead to more sophisticated knowledge representation models capable of emulating human intelligence.
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The Robot Report
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Path Robotics raises $100M to automate welding
- Path Robotics, a company specializing in autonomous welding robots, has raised $100 million in new investments.
- The Columbus-based company aims to leverage artificial intelligence to address challenges in the manufacturing industry and has developed robotic systems that use AI, machine learning, and computer vision for welding parts.
- Path Robotics currently offers two welding products in the market: the AW-3 Robotic Welding Cell for handling large parts and the AF-1 Robotic Welding Cell for autonomous welding without human intervention.
- The funding round was led by Matter Venture Partners and Drive Capital, with participation from Yamaha Ventures, Taiwania Capital, MediaTek, and other prominent investors.
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The Robot Report
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Podcast discusses FIRA, practical applications of embodied AI and humanoid robots
- The Robot Report Podcast Episode 169 recaps the 2024 FIRA event and interviews various vendors attending the show.
- Key discussion points include the collaboration between Toyota Research Institute and Boston Dynamics on humanoid robotics and AI integration.
- Challenges and opportunities in developing general-purpose robots, human involvement in learning processes, and the role of data in enhancing robot capabilities were also explored.
- The FIRA event showcased practical applications, deployment strategies, and the importance of rigorous research in advancing robotics technology.
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The Robot Report
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Agtonomy adds $10M to Series A round to scale West Coast team
- Agtonomy recently raised an additional $10 million to close its Series A round, bringing total funding to $32.8 million.
- The South San Francisco-based company aims to use the funding to scale its West Coast team and expand into new markets.
- Agtonomy develops retrofit kits to make average farm equipment autonomous and offers software and technology for safe and efficient agriculture.
- The company's technology addresses labor scarcity, profitability, and climate change challenges in the agriculture industry.
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Unite
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Microsoft’s Inference Framework Brings 1-Bit Large Language Models to Local Devices
- Microsoft has announced BitNet.cpp, an inference framework that permits the running of Large Language Models(LM) on existing Central Processing Units(CPU).
- 1-bit LLMs utilize extreme quantization techniques to represent model weights using 3 possible values: -1, 0, and 1.
- BitNet.cpp is a ternary weight system that has a drastic reduction in parameter bit width leads to reduced memory usage and computational complexity.
- BitNet can handle larger models and processes them with faster on Apple Mac and Intel i7-13700H as well as requires less energy.
- The ternary weight system significantly reduces memory requirements from 16 bits per weight to around 1.58 bits per weight translating to memory savings of about 90%.
- BitNet introduces Group Quantization and Normalization to enhance model parallelism which greatly reduces computational complexity of analyzing large data
- A unique challenge with 1-bit models is that small updates might not affect the binary weights. To fix this, the learning rate is increased for better optimization compared to traditional approaches.
- BitNet.cpp leverages low-level optimizations for peak CPU performance: Vectorized Operations, Cache-Friendly Memory Access, and Parallel Processing.
- The current release of BitNet.cpp supports the following 1-bit LLMs: bitnet_b1_58-large (0.7B parameters), bitnet_b1_58-3B (3.3B parameters), and Llama3-8B-1.58-100B-tokens (8.0B parameters)
- BitNet.cpp could reduce the need for expensive GPUs used in language models, making AI more cost-effective and practical.
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