A naukri.com initiative
Robotics News
Arstechnica
3w
35
Image Credit: Arstechnica
iRobot says there is “substantial doubt” about it as a “going concern”
- Robotics firm iRobot, which is known for its robotic vacuum Roomba, has expressed doubt about its ability to continue as a 'going concern' in the near future due to intense competition and declining revenue.
- Investors reacted to this news by causing iRobot's stock price to fall by nearly 40% within a day.
- iRobot's annual report indicates significant challenges, including a 47% drop in revenue in the fourth quarter, efforts to renegotiate its largest loans, and the initiation of a 'formal strategic review' to explore options such as refinancing or a potential sale.
- Since Amazon's failed bid to acquire the company in 2022, iRobot's fortunes have taken a downturn.
Read Full Article
2 Likes
Unite
3w
70
Image Credit: Unite
How AI Agents Are Reshaping Security and Fraud Detection in the Business World
- Fraud and cybersecurity threats are escalating, with businesses losing 5% of revenue to fraud annually.
- AI-powered security agents analyze transactions in real-time, detect fraud patterns, and adapt to new threats autonomously.
- AI agents improve cybersecurity by analyzing data, user behavior, and biometric information to detect anomalies.
- AI makes real-time security decisions using supervised, unsupervised, and reinforcement learning models.
- AI agents continuously refine their models, stay ahead of fraudsters, and collaborate through federated learning.
- AI-driven security systems are utilized in financial institutions, online payment platforms, and government networks.
- Real-world applications include Amex's fraud detection, JPMorgan Chase's money laundering identification, and PayPal's buyer behavior analysis.
- Challenges include data privacy, false positives/negatives, integration hurdles, and regulatory compliance.
- Future advancements in quantum computing, encryption, and federated learning will enhance AI agents' capabilities.
- Businesses investing in AI-driven security gain a competitive edge and contribute to building a safer digital environment.
Read Full Article
4 Likes
Unite
3w
17
Image Credit: Unite
Agentic AI Is a Delicate Four-Way Dance Democratizing Access to Critical Business Insights
- AI landscape is filled with false claims due to a knowledge gap, leading to confusion about different AI terms and capabilities offered by technology companies.
- Agentic AI is a new concept but is already being misrepresented, with companies branding simple chat bots as Agentic AI providers.
- True Agentic AI involves a blend of generative AI, symbolic AI, and explanatory maths, democratizing access to advanced technology for users.
- Creating impactful AI solutions requires a comprehensive ensemble of components that go beyond basic tools like chat bots.
- Agentic AI should not be used as a marketing term without the actual functionality to support it, highlighting the importance of understanding AI maturity levels.
- Agentic AI promises to revolutionize access to AI-based analytics and optimization capabilities.
- Agentic AI comprises four key elements: symbolic AI, explanatory maths and optimization engines, generative AI, and the conversational 'agent.'
- The agent in Agentic AI plays a crucial role in synthesizing data and presenting insights in a user-friendly manner, democratizing access to valuable business insights.
- The convergence of different AI components with the AI agent's guidance is making critical business optimization insights more accessible and impactful.
- Adoption of true Agentic AI is essential for businesses to stay competitive and leverage advanced technology effectively.
Read Full Article
1 Like
Unite
3w
262
Image Credit: Unite
How Does AI Use Impact Critical Thinking?
- Artificial intelligence (AI) has the potential to solve problems, increase efficiency, and save time by delegating tasks to machines.
- However, reliance on AI can lead to a decline in critical thinking skills, as it may diminish the capacity to question, analyze data, and form counterarguments.
- Studies indicate that using AI can decrease users' effort in critical thinking tasks and affect abilities like knowledge, comprehension, analysis, synthesis, and evaluation.
- Overreliance on AI can hinder an individual's ability to independently solve problems, potentially leading to a lack of cognitive development and critical thinking skills.
- Accepting AI-generated answers without questioning can blur the line between facts and falsehoods, impacting users' evaluation and judgment.
- Populations most affected by overreliance on AI include those with low confidence in AI-generated output, while strategic users may maintain critical thinking abilities.
- Decreased critical thinking skills due to AI reliance may make individuals more susceptible to misinformation, manipulation, and challenges in the job market.
- Educational institutions using generative technology risk hindering the development of critical thinking skills in students, which can have long-term implications for society.
- Maintaining the ability to think critically without solely relying on AI is crucial for decision-making, problem-solving, and adapting to high-stakes situations.
- Users and developers of generative models have a responsibility to evaluate the impact of AI on critical thinking and ensure it contributes to societal advancements.
Read Full Article
15 Likes
Discover more
Unite
3w
8
Image Credit: Unite
AI in the Workplace: The Future is Multisapiens
- AI in the workplace is a topic of concern, with skeptics pointing to the transforming workforce as AI capabilities expand.
- The modern workforce must adapt to a scenario where humans collaborate with AI agents to enhance productivity.
- AI agents have strengths and flaws, and leveraging their abilities is crucial for achieving superhuman results.
- The future workforce will consist of a multi-sapiens approach, requiring individuals to adapt and make the workplace work for them.
- The rise of AI agents, like LLM-based ones, has revolutionized workflows and brought tangible AI applications to various sectors.
- Deploying a deeper bench of AI agents requires understanding how they function, even for non-tech individuals in the workforce.
- AI can bridge skill gaps in the workforce and improve output quality by working symbiotically with humans.
- Proper management of AI agents is essential to mitigate risks like data privacy concerns and biases in multi-agent systems.
- Organizations need to restructure to accommodate AI, fostering collaboration between humans and AI agents with proper reskilling initiatives.
- Viewing human and AI strengths as complementary can help build a powerful multisapiens workforce for the future of work.
- Trust in technology and proper management of AI agents are essential components in creating a successful multisapiens workplace.
Read Full Article
Like
The Robot Report
3w
367
CAPTRON North America to showcase sensors, software at Robotics Summit
- CAPTRON North America will showcase its sensors and software at the Robotics Summit & Expo, a premier event for robotics developers.
- The company will demonstrate the CAPTRON URCap software and Laser Optical Sensors, highlighting automated tool center point calibration with Universal Robots (UR).
- The technology aims to minimize downtime, increase precision, and ensure higher-quality automation processes.
- CAPTRON's solutions integrate seamlessly with Universal Robots, enhancing productivity and reliability in automated systems.
Read Full Article
22 Likes
Unite
3w
298
Image Credit: Unite
From Evo 1 to Evo 2: How NVIDIA is Redefining Genomic Research and AI-Driven Biological Innovations
- Scientists aim to decode biological sequences to unlock complex biological processes and revolutionize fields like personalized medicine and environmental sustainability.
- Traditional tools have struggled with the complexity of biological sequences, but the rise of generative AI enables scaling over trillions of sequences for better understanding.
- Evo 1, a groundbreaking AI model, focused on molecular biology's central dogma and genetic information flow, bridging molecular biology and evolutionary genomics.
- Evo 1 predicted molecular interactions and genetic variations but faced challenges with complex eukaryotic genomes, leading to the development of Evo 2.
- Evo 2, built on lessons from Evo 1, can predict functional consequences of genetic variation across all life domains due to its improved parameters and sequence length capacity.
- Evo 2's zero-shot prediction capability allows accurate classification of genetic mutations and offers applications in healthcare, drug discovery, genetic engineering, agricultural biotechnology, and environmental science.
- Challenges for Evo 2 include computational complexity and the need to understand how to design novel biological systems effectively.
- NVIDIA's open-source approach with Evo 2 enables researchers worldwide to explore its capabilities, driving innovation in genomics and biotechnology.
- Evo 2's advancements in genomic modeling hold transformative potential for personalized medicine, sustainable solutions, and reshaping biological sciences and environmental sustainability.
Read Full Article
17 Likes
Dev
3w
197
Image Credit: Dev
Zhiyuan Robotics Unveils Lingxi X2: The Humanoid Robot Redefining AI Interaction
- Zhiyuan Robotics unveiled the Lingxi X2 Humanoid Robot.
- Equipped with the 'SiliconLight-Language' multimodal AI model for millisecond-level interaction speeds.
- Innovations include Motion Intelligence, Interaction Revolution, and Embodied Intelligence.
- Impacts include revolutionizing domestic tasks, disrupting industrial work, and democratizing robotics.
Read Full Article
11 Likes
Siliconangle
3w
328
Image Credit: Siliconangle
AI-powered industrial robotics startup Dexterity raises $95M
- Startup Dexterity has raised $95 million in funding to enhance its AI-powered industrial robotics technology.
- The investment round gives Dexterity a post-money valuation of $1.65 billion.
- Dexterity develops robots powered by AI agents for merchandise processing tasks in logistics warehouses.
- The company will use the funding to improve technology and expand its workforce.
Read Full Article
19 Likes
Embedded
3w
188
onsemi Unveils Next-Generation Depth Sensor for Industrial Use
- onsemi has introduced the Hyperlux ID family, a real-time, indirect time-of-flight (iToF) sensor for high-precision, long-range measurements and 3D imaging.
- The sensor overcomes the limitations of conventional iToF sensors by enabling depth sensing up to 30 meters while maintaining a compact design.
- It generates both monochrome images and depth data simultaneously, eliminating the need for separate components for visual and depth perception.
- The Hyperlux ID family is ideally suited for industrial applications such as automation, manufacturing, logistics, agriculture, and access control systems.
Read Full Article
11 Likes
The Robot Report
3w
166
10 surgical robotics companies to watch in 2025
- Intuitive Surgical Inc. is the leading surgical robotics provider, but other companies are making strides in the field.
- The most promising technologies in surgical robotics focus on areas that don't directly compete with Intuitive.
- Some notable surgical robotics companies to watch include Medtronic, Stryker, CMR Surgical, Vicarious Surgical, Distalmotion, Capstan Medical, Noah Medical, Momentis Surgical, and Monteris Medical.
- The Robotics Summit & Expo will feature a healthcare track dedicated to the latest advancements in surgical robots.
Read Full Article
10 Likes
TechCrunch
3w
24
Image Credit: TechCrunch
Yet another AI robotics firm lands major funding, as Dexterity closes latest round
- Dexterity, a startup specializing in industrial robots, has raised $95 million at a post-money valuation of $1.65 billion.
- The investment highlights the growing demand for AI-powered machinery.
- Dexterity's robots are designed for tasks in warehouses and factories, such as loading boxes and sorting parcels.
- The company, which has now raised nearly $300 million, has customers including FedEx and UPS.
Read Full Article
1 Like
Unite
3w
118
Image Credit: Unite
AI’s Data Dilemma: Privacy, Regulation, and the Future of Ethical AI
- AI-driven solutions are becoming more prevalent in various industries, but their success hinges on the quality of data they are trained on, an aspect often overlooked.
- As data protection authorities increase scrutiny on AI technologies' alignment with privacy regulations, companies are under pressure to ethically source and refine datasets.
- Stringent data privacy laws, such as the GDPR in Europe and HIPAA in the US, limit the use of personal data and impact AI operations worldwide.
- Companies face ethical challenges in AI dataset creation, with evolving legal frameworks influencing data availability and usage.
- Data collection, creation, and synthetic data generation are primary methods used by companies to acquire training data for AI models.
- Companies must ensure compliance with data regulations, especially concerning personally identifiable information, when sourcing training data.
- Legal and ethical responsibilities are distributed among participants in the dataset creation process, with clear contractual agreements crucial for data compliance.
- Ethical challenges in AI development include determining acceptable AI behavior and mitigating errors that could potentially harm humans.
- The European Union's AI Act and US regulatory changes influence the global AI market, impacting innovation, compliance, and market diversity.
- The EU's stringent regulatory framework poses challenges for AI companies operating in Europe, potentially driving innovation to markets with less restrictive regulations.
- Conversely, the US's focus on AI development with fewer restrictions may encourage diversity and experimentation in the market.
Read Full Article
7 Likes
Unite
3w
381
Image Credit: Unite
Sola Security Emerges from Stealth with $30M to Democratize No-Code Cybersecurity
- Sola Security emerges from stealth with $30 million in funding to democratize no-code cybersecurity.
- The company aims to redefine how organizations build and deploy security tools, making cybersecurity accessible, affordable, and adaptable for all teams.
- Sola Security offers a no-code, AI-powered cybersecurity platform that allows security professionals to build and deploy custom security applications in minutes.
- By eliminating the need for deep technical expertise and expensive, bloated security stacks, Sola Security aims to drive a much-needed shift in the cybersecurity industry.
Read Full Article
22 Likes
For uninterrupted reading, download the app