A naukri.com initiative
Robotics News
The Robot Report
1M
77
Xaba raises $6M to build ‘synthetic brains’ for industrial robots
- Xaba Inc. has secured a $6 million seed extension to accelerate the deployment of AI-powered robotics and cognitive industrial control systems, aiming to build 'synthetic brains' for industrial robots with zero code.
- The company aims to redefine automation by allowing robots to self-optimize and execute tasks with minimal programming, resulting in reduced waste and up to a 10x reduction in costs.
- Xaba's 'generative industrial AI' equips machines with cognitive intelligence, enabling them to adapt, optimize, and execute tasks autonomously.
- The xCognition platform automates task programming for industrial automation, generating part-programs and PLC logic to enable machines to self-generate programs for tasks like welding, drilling, assembling, and additive manufacturing.
- Xaba's systems integrate real-time intelligence into automation, reducing deployment costs and enhancing manufacturing operations' quality, consistency, and flexibility.
- The AI models from Xaba can autonomously generate robotic programs and PLC code, reducing deployment time by up to 80% and eliminating manual coding.
- The company's AI has shown improvements in automotive manufacturing, large-scale robotic drilling, robotic welding, and large-scale 3D printing, optimizing processes and reducing costs.
- Hitachi Ventures led Xaba's seed round funding, with participation from other venture capital firms, bringing the startup's total raised funds to $8 million.
- Xaba's innovative approach to industrial robotics and automation has received praise for its potential to transform manufacturing environments, solving persistent programming and production challenges.
Read Full Article
4 Likes
Unite
1M
231
Image Credit: Unite
Is Your Data Storage Strategy AI-Ready?
- The adoption of AI has led to an increased need for proper data governance, with companies now pressured to ensure data maturity.
- Globally, many companies are actively using or considering AI for business operations, but only 14% of cyber leaders can balance data efficiency and security.
- Having a data maturity model framework helps organizations optimize data usage, identify security gaps, and improve data efficiency.
- Proper storage is crucial for handling critical data in AI workloads to prevent data loss or tampering from threats like ransomware.
- Data accessibility, security, recovery capability, and optimization for AI workloads are essential aspects of proper storage for AI-created data.
- Businesses need to ensure that backups and storage configurations are ransomware-proof, secure, and enable quick recovery in case of a disaster.
- Tiered backup storage is a cost-effective solution for organizing data based on importance, ensuring quick access and secure backups.
- Having immutable storage with S3 Object Storage, zero time to immutability, and no access to destructive actions is crucial for secure backup environments.
- Segmentation of backup software and storage, along with a dedicated hardware form factor, adds layers of security to backup storage environments.
- Meeting requirements like immutability in backup storage ensures data protection and recoverability against ransomware, insider threats, or breaches.
Read Full Article
13 Likes
Unite
1M
9
Image Credit: Unite
Tony Hogben, Immersive Studio Lead at Pfizer Digital Omnichannel Services & Solutions (OSS) – Interview Series
- Tony Hogben is the Immersive Studio Lead at Pfizer Digital Omnichannel Services & Solutions (OSS) which is focused on transforming how Pfizer connects with patients and healthcare professionals worldwide through innovative digital strategies and technology.
- Hogben's career in digital innovation began with a degree in 'New Media', followed by running his own digital agency during the emergence of Web 2.0, where he pioneered SAAS solutions and mobile applications.
- Joining Pfizer allowed Hogben to combine his creative vision and technical expertise, leading the Immersive Studio to enable teams to utilize immersive and interactive technologies for enhanced engagement and communication.
- AI-powered immersive medical training offers flexibility and improved knowledge retention rates up to 76% better than traditional methods, with AI enhancing content creation, learner experience, feedback, and collaborative learning.
- At Pfizer, AI is being integrated into medical simulations to accelerate content creation, streamline technical processes, and create learner-adaptive experiences, although methodical implementation in the regulated healthcare industry poses challenges.
- The 360-degree virtual laboratory at Pfizer provides healthcare professionals with interactive simulations to improve skills, with positive feedback on realism, engagement, and flexibility, leading to better confidence and retention of knowledge.
- AI and immersive tech can enhance training accessibility, but barriers such as regulatory concerns, adoption hesitancy, and technical limitations need addressing to drive responsible innovation in healthcare.
- Hogben foresees AI playing a more active role in patient care within the next five years, working alongside healthcare professionals in a 'human-in-the-loop' framework to enhance decision-making while maintaining human oversight for patient safety.
- To prepare for AI advancements outperforming human professionals in certain tasks, the healthcare industry needs to view AI as a collaborator rather than a replacement, starting with small, targeted tasks to build trust in AI capabilities over time.
- Scaling AI solutions in healthcare involves addressing technology infrastructure and user adoption challenges, with a focus on establishing robust technical foundations and designing solutions for widespread adoption.
- Hogben believes that AI advancements like administrative automation, drug discovery acceleration, precision diagnostics, and personalized treatment will significantly transform healthcare in the next five years, ushering in cognitive augmentation and improved patient care.
Read Full Article
Like
Unite
1M
262
Image Credit: Unite
Hyperautomation’s Next Frontier – How Businesses Can Stay Ahead
- Hyperautomation is rapidly evolving by integrating AI, ML, and RPA into a connected ecosystem.
- Gartner predicts that a third of enterprises will automate over half of their operations by 2026.
- Less than 20% of companies have fully mastered the hyperautomation of their processes.
- Hyperautomation goes beyond traditional automation by creating systems that continuously learn and improve.
- Businesses need hyperautomation to reduce costs, increase efficiency, minimize errors, and enhance customer experiences.
- Challenges in implementing hyperautomation include defining goals, lack of resources, and resistance to change.
- Data governance issues, lack of structured processes, and outdated workflows also hinder effective automation.
- Companies using AI-based hyperautomation have seen improvements in decision-making and efficiency.
- Clear deadlines, success metrics, and regular maintenance are crucial for successful hyperautomation implementation.
- Startups are likely to lead the hyperautomation trend due to building systems from scratch and cutting costs.
Read Full Article
15 Likes
Discover more
The Robot Report
1M
362
Gatik gets independent safety validation from TUV SUD for autonomous logistics
- Gatik has received independent validation for the Safety Case Evaluation and Functional Safety phases of its Safety Assessment Framework from TÜV SÜD, setting a new benchmark for the industry.
- Gatik is focused on prioritizing safety in autonomous trucking and believes in transparent validation processes to instill trust in stakeholders and the public.
- The company has developed autonomous vehicles for middle-mile and short-haul logistics, with partnerships with Isuzu Motors, Cummins, Ryder, and Goodyear.
- TÜV SÜD conducted a thorough evaluation of Gatik's Safety Assessment Framework, which includes organizational safety culture and engineering quality.
- The Safety Assessment Framework identifies over 700 portfolios to address key pillars of AV safety, such as cybersecurity, vehicle safety, and Safety Case conformity.
- TÜV SÜD concluded that Gatik's approach demonstrated substantial rigor and compliance with its requirements under the Autonomous Vehicle Conformity Framework.
- Gatik plans to publicly share more information on its progress toward completion of the Safety Assessment Framework before deploying freight-only operations at scale this year.
- The company aims to accelerate mass production of SAE Level 4 autonomous trucks using NVIDIA in-vehicle compute.
- Gatik is working on densifying networks to add more trucks and stores within validated jurisdictions to scale operations safely.
- The milestone achieved by Gatik signifies a step forward in safety and innovation in autonomous logistics, setting a high standard for the industry.
Read Full Article
21 Likes
Medium
1M
272
Brain’s decision making (continuation of Thousand Brains)
- The mouse's neural network tells it to go left by suppressing one neural path in the brain which tells it not to turn right and activating another neural path which tells it to turn left.
- AI can learn to make decisions based on what it is taught.
- AI can potentially help in solving ethical dilemmas like the trolley problem.
- Further research is needed on using neural network manipulations to tame wild animals.
Read Full Article
16 Likes
Medium
1M
367
Image Credit: Medium
HardTech Reads: The AI & Robotics Revolution vol.27
- Hexagon introduces 'Digital Factory-as-a-Service' to enhance global manufacturing agility through digital twins and AI-powered production workflows.
- China focuses on developing humanoid robots for industrial tasks, with UBTech's robots showing promising capabilities in automation.
- Locus Robotics unveils Locus Array, an AI-driven warehouse system for improved fulfillment efficiency in healthcare, retail, and e-commerce.
- SoftBank explores a $1 trillion investment plan for AI-powered industrial parks in the U.S., emphasizing the role of robots in logistics and manufacturing infrastructure.
- While the U.S. tech industry invests in robotics, China's integration of AI and manufacturing is rapidly catching up, creating a global race for humanoid dominance.
- JD Vance emphasizes the importance of aligning innovation and labor in the U.S. manufacturing sector, highlighting the risks of automation without dignity.
- Rockwell Automation partners with AWS to enhance industrial simulation capabilities, aiming to streamline factory deployment and reduce automation risks.
- Various companies, including Fourier, The Bot Co., Fleetio, and others, secure significant funding for innovative projects in hydrogen electrolyzers, home robots, fleet management, and decarbonization.
- Upcoming events like HardTech Awards, Hill and Valley Forum, and Reindustrialize offer networking opportunities for professionals in the AI and robotics industry.
- The article delves into advancements in metal shaping with AI and robotics by Machina Labs, showcasing the future potential of robotic arms and AI in fabrication processes.
Read Full Article
22 Likes
Dev
1M
403
Image Credit: Dev
🔒 Secure ROS2 Setup: Hardening Your Robot Project from the Start
- Robotics developers need to prioritize security when building intelligent machines.
- A new series is created to help secure ROS2 environment and provide practical cybersecurity strategies.
- The series covers steps such as post-install system updates, creating dedicated ROS user, installing ROS2 securely, configuring AppArmor, setting up basic firewall rules, enabling SROS2 for secure communication, installing network intrusion detection tool Suricata, creating a baseline security report, and automating periodic security checks.
- Securing robotics projects is important to protect hardware and data. Stay tuned for the first guide in the series, focused on post-install hardening for Linux on a ROS2 host.
Read Full Article
24 Likes
Unite
1M
40
Image Credit: Unite
Amazon’s Alexa+: A New Era of AI-Powered Personal Assistants
- Amazon Alexa+ is a new, advanced version of the popular voice assistant, offering enhanced AI and personalized experiences.
- It integrates with a wide range of devices and platforms, making it more versatile and intuitive for users.
- Alexa+ excels in natural language processing, understanding context, and engaging in multi-turn conversations for a more human-like interaction.
- The voice assistant's integration with third-party services allows seamless control of various devices without additional setup.
- Alexa+ shows improvements in speed, accuracy, and performance, handling complex tasks with ease.
- The technology behind Alexa+ includes advanced AI, machine learning, and a combination of cloud and edge computing for efficient responses.
- Personalization through machine learning enables Alexa+ to adapt and provide tailored suggestions based on user interactions.
- Alexa+ transforms daily life by anticipating needs, generating personalized content, and reducing user input for a more proactive experience.
- Overall, Alexa+ sets a new standard in voice assistant technology, offering users a smarter, more connected way to manage their routines and homes.
Read Full Article
2 Likes
The Robot Report
1M
117
Boumarang buys Wavedrone to add maritime systems to drone portfolio
- Boumarang Inc. has acquired all intellectual property rights to the Wavedrone platform from Shore House IVF.
- Wavedrone is an autonomous system designed for aquatic environments, offering dual above-and-below-surface filming capabilities.
- The acquisition aligns with Boumarang's mission to lead in autonomous, sustainable solutions.
- Boumarang's integration of Wavedrone allows them to capture significant market share in aquatic applications including environmental monitoring, media and entertainment, search and rescue, and aquaculture and fisheries.
Read Full Article
7 Likes
Unite
1M
122
Image Credit: Unite
The State of AI in 2025: Key Takeaways from Stanford’s Latest AI Index Report
- The Stanford Institute for Human-Centered AI (HAI) annually releases the AI Index Report, offering insights into AI's growth, challenges, and trends.
- The 2025 report highlights AI's technical progress, global competition, and challenges in complex reasoning tasks.
- AI models have shown performance improvements, with open-source models narrowing the gap with proprietary ones.
- AI's role in scientific research, including protein structure prediction and space exploration, has been significant.
- AI is widely adopted across industries like healthcare, autonomous vehicles, and customer service automation.
- Global investments in AI have surged, leading to increased productivity and operational enhancements in businesses.
- Advancements in algorithms and hardware have made AI more cost-effective, but concerns about environmental impact persist.
- Governments are ramping up regulations to govern AI development, emphasizing transparency and accountability.
- AI education is expanding globally, but disparities exist, highlighting the importance of inclusive access for building a diverse talent pool.
- Public sentiment on AI is optimistic yet cautious, with concerns around ethics, safety, and job displacement needing attention.
Read Full Article
7 Likes
The Robot Report
1M
177
ForwardX new self-production facility to produce 5,000 mobile robots per year
- ForwardX Technology Co. has unveiled its new self-production facility in Beijing, China.
- The facility includes dedicated areas for building different types of robots, ensuring quality control.
- With an annual production capacity of 5,000 units, the facility is well-positioned to meet global demand for advanced robots.
- ForwardX's self-sufficient production will enable innovation, high-quality products, and strong after-sales support.
Read Full Article
10 Likes
Medium
1M
422
Image Credit: Medium
Bridging Vision and Reality in the UK’s Defence AI Ambitions
- The UK's Defence AI Strategy aims to make the country the most effective, efficient, trusted, and influential in defense AI, with tangible progress seen since its inception in 2022.
- The establishment of the Defence AI Centre (DAIC) has facilitated over 400 AI-related projects within the MoD, showcasing AI advancements in areas from maintenance to intelligence.
- AI initiatives in the UK emphasize responsibility, with the country being internationally respected for its principled approach to military AI ethics and its commitment to ethical AI development.
- While progress has been made, gaps remain between policy ambitions and on-the-ground implementation, with challenges in achieving full AI readiness and cultural revolution within the defense workforce.
- The MoD acknowledges the need to become 'AI-native', integrating AI into its DNA, but faces hurdles in transforming culture and bureaucracy to align with agile AI aspirations.
- Efforts to engage SMEs, academia, and dual-use innovators are underway to leverage the UK's thriving commercial and academic AI ecosystem for defense needs, streamlining procurement processes and fostering collaboration.
- Through the AUKUS partnership, the UK collaborates with the U.S. and Australia on AI advancements, focusing on common standards, interoperability, and ethical use, while maintaining its sovereign AI capabilities.
- The introduction of JSP 936 'Dependable AI' policy framework underscores the MoD's commitment to ethical and responsible AI adoption, emphasizing governance, human oversight, bias mitigation, and alignment with AI ethical principles.
- The UK's focus on ethics in defense AI extends to defense contractors and industry partners, ensuring alignment with responsible AI standards and international norms, enhancing trust and credibility in global defense markets.
- Key challenges ahead include building AI talent, enhancing procurement agility, balancing alliances and sovereignty, and maintaining public and personnel trust amid the evolving landscape of defense AI.
- The UK's journey towards becoming an agile and ethical defense AI power involves continuous adaptation, learning from mistakes, and aligning policy with practical implementation, aiming for a leadership position in defense AI.
Read Full Article
25 Likes
The Robot Report
1M
349
Waymo to begin testing robotaxis on Tokyo public roads
- Waymo, the autonomous vehicle company, will start testing robotaxis on public roads in Tokyo.
- This deployment marks Waymo's first venture outside the U.S.
- During the testing phase, Waymo vehicles will be manually driven by trained Nihon Kotsu drivers across central-Tokyo wards.
- Waymo aims to adapt its autonomous driving technology to local traffic patterns and road features through this testing phase.
Read Full Article
21 Likes
For uninterrupted reading, download the app