A naukri.com initiative
Robotics News
The Robot Report
3w
316
Image Credit: The Robot Report
Top 10 robotics developments of November 2024
- Europe is making strides in developing human-like robots.
- The Moxi robot completes 100,000 autonomous elevator rides in hospitals.
- AeroVironment agrees to acquire BlueHalo for $4.1 billion.
- Kassow Robots introduces new cobots designed for mobile manipulation.
Read Full Article
19 Likes
Hackernoon
3w
303
Image Credit: Hackernoon
The Future of Robotics: AI-Powered Adaptation for Safer Workplaces
- The robotics industry is transforming with AI-powered robots that can respond to dynamic environments and tasks in real-time.
- Oli Robotics is developing adaptive software capable of reacting to environmental changes, enabling robots to adjust their movements on the fly.
- The decreasing costs of LLMs and AI infrastructure are making it possible to create robots that optimise their own actions and improve assembly quality without manual intervention.
- AI is already revolutionising manufacturing by predicting equipment failures and identifying defects in production lines.
- Humanoid robots will be the most significant disruption as their form allows them to integrate into every aspect of human activity including manufacturing, healthcare and logistics.
- One significant challenge is convincing manufacturers to adopt adaptive robotics. Traditional robots struggle with variability, whereas AI-driven robots improve in real-time, making them suitable for dynamic tasks.
- The biggest transformation will be in augmenting human capabilities to create safer workplaces and enabling industries to operate more efficiently.
Read Full Article
18 Likes
The Robot Report
3w
426
Image Credit: The Robot Report
Sandvik adds Universal Field Robots to mining division
- Sandvik AB has acquired Universal Field Robots (UFR), a developer of autonomous systems for mining markets.
- UFR will report to Sandvik's Digital Mining Technologies division.
- The acquisition strengthens Sandvik's mining automation solutions portfolio.
- UFR's technology complements Sandvik's AutoMine, expanding compatibility with third-party equipment.
Read Full Article
25 Likes
Unite
3w
325
Image Credit: Unite
Josh Ray, Founder & CEO of OODA – Interview Series
- Josh Ray is the founder and CEO of Blackwire Labs, which aims to make trusted expert-level cybersecurity capabilities accessible to organizations that need it most and combines AI with human expertise.
- Blackwire Labs combines expert-vetted AI insights with blockchain integrity through TrustWire that creates an immutable, cryptographically verifiable record of all sources and AI outputs.
- Blackwire Labs places a strong emphasis on being user-configurable and developing capabilities for organizations to securely leverage their proprietary data.
- Their approach draws from proven methodologies, particularly ones implemented at Palo Alto Networks, and their system of knowledge management and threat intelligence focuses on quality over quantity.
- Blackwire Labs wants to fundamentally change how organizations approach cybersecurity in the AI era by democratizing access to expert-level cybersecurity capabilities and combining human expertise with trustworthy AI.
Read Full Article
19 Likes
Discover more
Unite
3w
123
Image Credit: Unite
Josh Ray, Founder and CEO of Blackwire Labs, – Interview Series
- Josh Ray, the CEO of Blackwire Labs, founded the company to build trusted and expert AI cybersecurity solutions, making them accessible to all sizes of organizations and cross-industries.
- Blackwire Labs' leadership team brings over 24 years of experience in fighting against advanced cyber threats, including a military cybersecurity background.
- Blackwire Labs is unique in how the company combines AI and human expertise, focusing on fundamentally changing cybersecurity approaches and democratizing access to expert-level cybersecurity capabilities.
- The Blackwire platform’s design is enterprise-grade, ensuring complete data isolation, data privacy, and security monitoring, including enterprise-grade authentication with granular RBAC and MFA support.
- AI features and customizations build upon the platform's layers of security and include tools such as predictive prompting and context-craft capabilities, which provide user-specific guidance and tailored answers.
- Blackwire Labs' platform's 'Service First' philosophy is rooted in its leadership's military background and emphasizes the importance of servant leadership, developing solutions that practitioners would want for themselves, and solving real problems rather than marketing hype.
- The Blackwire platform has built a chain of trust that incorporates cybersecurity community excellence to validate and enhance its knowledge base, and a blockchain technology-based system Trustwire that creates an immutable, cryptographically verifiable record of all its sources and AI outputs.
- To adapt to emerging domains, Blackwire Labs continuously integrates new insights, expertise, and emerging technologies to maintain its platform's foundations of expertise and trusted framework that can evaluate and respond to emerging threats across any domain.
- Blackwire Labs' long-term vision focuses on democratizing access to expert-level cybersecurity capabilities and intends to lead the transformation of cybersecurity by combining human expertise with trustworthy AI, staying true to the principles of transparency, humility, trust, and service to its customers.
- Their innovative approach solely focuses on quality over quantity, allowing them to scale while maintaining high standards for accuracy and reliability.
Read Full Article
7 Likes
Unite
3w
382
Image Credit: Unite
The Transformative Power of AI Devices: Driving Toward an AI-First Future
- AI-driven devices are revolutionizing operations across industries with significant gains in efficiency, productivity, and decision-making capabilities.
- Organizations are split in their approach, with some prioritizing rapid innovation and adoption while others prioritize risk management and security under an AI-Safe framework.
- Industries being transformed by AI-driven wearables include healthcare, where it enables real-time data alerting medical professionals to changes before they become critical issues.
- In contrast, businesses that over-prioritize risk management risk stagnation in a market increasingly driven by AI.
- A risk management framework is vital, encompassing secure development practices, regular vulnerability assessments, and continuous data monitoring to balance innovation and responsibility
- One of the exciting developments of AI devices is the potential to democratize AI capabilities, allowing smaller businesses to compete more effectively with the larger ones.
- Investment in generative AI (GenAI) education is essential, equipping employees to understand both the opportunities and risks AI devices bring to the work environment.
- The future belongs to those who can integrate AI thoughtfully and effectively, making innovation and security equally foundational to their strategy.
- By embracing an approach that combines forward-thinking with responsible management, companies position themselves to lead in an AI-powered world.
- To succeed in an AI-driven future, companies must develop a comprehensive risk management strategy, prioritize workforce training, adopt an agile mindset, and monitor and evaluate AI performance.
Read Full Article
22 Likes
Unite
3w
311
Image Credit: Unite
Federal Court Ruling Sets Landmark Precedent for AI Cheating in Schools
- A federal court decision between a student's use of Grammarly's AI features for their National History Day project and school authority in the AI era tests boundaries.
- This landmark academic case exposes hidden facets of modern academic dishonesty, such as direct AI integration missing recognition and AI hallucinated citations presenting fake scholarly research.
- The court's decision validates a hybrid detection approach combining AI detection software, human expertise, and academic integrity principles, where schools can rely on multiple detection methods.
- The court's decision in this case establishes the technical basis for how schools can approach AI detection, such as schools relying on detection methods, human analysis, and digital forensics.
- The school's detection method employs what security experts would recognize as multi-factor authentication approach in catching AI misuse.
- The technical implications of this legal case entails schools needing sophisticated detection stacks, AI usage protocols for clear attribution pathways, and AI-aware academic integrity frameworks.
- The complexity of AI tools calls for nuanced detection and policy frameworks and an environment fostering ethical and effective use of AI tools.
- The ruling effectively sets syntax for schools and students interacting with AI tools.
- The most effective AI policies treat AI like any tool; establishing clear protocols for appropriate use such as defining boundaries, maintaining documentation transparency and integrity standards.
- The court's decision reinforces the beginning of a more sophisticated approach to managing powerful tools in education.
Read Full Article
18 Likes
Unite
3w
114
Image Credit: Unite
Composable AI: A Flexible Way to Build AI Systems
- Composable AI offers a new approach to solving this problem. It focuses on dividing systems into small, independent modules—like pieces of a puzzle.
- Most traditional AI systems are built as a single, tightly connected unit.
- Composable AI takes a different approach. Instead of one big system, it breaks things into smaller, separate modules.
- Composable AI is built on a few simple ideas. Here is how it works:
- This modular approach offers many benefits.
- Composable AI can make a meaningful impact across various industries.
- While the benefits are clear, implementing composable AI is not without challenges.
- Composable AI simplifies how we build AI.
- As AI evolves, composable AI has the potential to transform industries like healthcare, e-commerce, and finance.
- The key ideas behind composable AI include modularity, reusability, interoperability, scalability, and adaptability.
Read Full Article
6 Likes
Unite
3w
360
Image Credit: Unite
Improving Green Screen Generation for Stable Diffusion
- Latent diffusion models such as Stable Diffusion often have some difficulty rendering a really vivid green screen, due to the limited dataset that trains the models and the concept entanglement that can occur. Researchers from Germany and Japan have developed an approach called TKG-DM, which optimizes the initial random noise used to seed a Stable Diffusion model's generative image to better produce a solid, keyable background in any color. TKG-DM was tested using Stable Diffusion v1.5 and Stable Diffusion SDXL using guidance scales and denoising steps, which generated images at 512x512px and 1024x1024px, respectively.
- By conditioning initial Gaussian noise through a channel mean shift, TKG-DM optimizes the initial noise from which a Stable Diffusion image is generated, producing a desired background color with less concept entanglement of the key background color into foreground content than other methods. The approach builds on a previous investigation into the color schema of a Stable Diffusion distribution, and is capable of producing background color of any kind.
- Stable Diffusion 1.5 and SDXL had difficulty generating a clean background when prompted with a green background; however, TKG-DM obtains better results without devoting training resources. The authors claim that their model offers an efficient and versatile solution for various visual content creation tasks that require precise foreground and background control.
- TKG-DM is compatible with the popular ControlNet third-party system for Stable Diffusion, and the authors contend that it produces superior results to ControlNet's native ability to achieve this kind of separation. A user study was conducted, and results suggested that TKG-DM was the preferred method for prompt adherence across all examples.
- Latent diffusion models are entangled, and models' shortcomings can be overcome by fine-tuning and throwing specific data at a problem. While this can address classes and types of objects, it will always lack flexibility. Therefore, it is refreshing to see at least one solution that does not rely on this method.
Read Full Article
21 Likes
The Robot Report
3w
105
Image Credit: The Robot Report
Realtime Robotics appoints Ville Lehtonen vice president of product
- Realtime Robotics has appointed Ville Lehtonen as vice president of product.
- Lehtonen has experience in technology, product, and management, previously serving as head of product at Pickle Robot Co.
- Realtime Robotics aims to expand its Optimization solution with Lehtonen's expertise to meet customer needs in the manufacturing and logistics industries.
- Realtime Robotics' technology enables optimized motion plans for robotic workcells and enhances overall productivity without interrupting ongoing production efforts.
Read Full Article
6 Likes
Medium
3w
160
Image Credit: Medium
Humanise.ai review
- Humanise.AI is an innovative platform for personalized content engagement.
- It uses AI-driven algorithms to generate tailored messages for specific demographics.
- Users report time savings and high-quality content creation with Humanise.AI.
- While it excels in generating engaging copy, human input is recommended for nuanced emotions and complex ideas.
Read Full Article
9 Likes
COSMOS
3w
215
Image Credit: COSMOS
New DNA origami technique could create cancer-destroying nanorobots
- Researchers have developed a new technique called DNA origami to create programmable, 3-dimensional nanoscale objects.
- The technique uses DNA folding to create complex structures at the nanometre scale.
- The researchers have created nanomaterials with adjustable properties, enabling diverse applications such as autonomous nanorobots for destroying cancer cells.
- The technology could also be used to create nanoscale robotic boxes for targeted drug delivery and materials that can respond to environmental signals.
Read Full Article
12 Likes
Dev
3w
238
Image Credit: Dev
The Dual Impact of AI and Robotics on Society, Employment, and the Future
- AI and robotics have both positive and negative impacts on society and employment.
- Negative impacts include destabilizing societies due to shrinking human population and the uncertainty of who controls intelligent machines.
- Positive impacts include combating climate change and revolutionizing education.
- A balanced approach that embraces the positive impacts and implements regulations is crucial.
Read Full Article
14 Likes
The Robot Report
3w
185
Image Credit: The Robot Report
ASTM developing testing standards for mobile manipulators
- ASTM International's F45.05 Committee on Robotics, Automation, and Autonomous Systems is developing standards for mobile manipulators, focusing on precision and quantifiable tests.
- The goal of the standards is to measure the accuracy of the manipulator and mobile base's movements in autonomous mobile robots.
- ASTM's standards effort started in 2014, and it expanded its scope in 2022 to include robotics and automation.
- The organization has introduced a testing table as a tool to demonstrate the precision of mobile manipulators and facilitate testing for accuracy and repeatability.
Read Full Article
11 Likes
The Robot Report
3w
1.2k
Image Credit: The Robot Report
Oxipital AI releases VX2 Vision System for inspection and picking
- Oxipital AI has launched its VX2 Vision System, which uses AI for inspection and picking in food-grade and industrial sectors.
- The VX2 is smaller, more powerful, and more versatile than its predecessor, offering customers more resilient manufacturing processes.
- The system includes enhancements such as compact design, versatile application, enhanced Visual AI platform, and better price point.
- Oxipital AI's VX2 Vision System demonstrates its commitment to addressing industry challenges and pushing the boundaries of vision systems in automated environments.
Read Full Article
10 Likes
For uninterrupted reading, download the app