A naukri.com initiative
Robotics News
Medium
15h
329
Image Credit: Medium
HardTech Reads: The AI & Robotics Revolution vol.28
- Hugging Face acquired Pollen Robotics, makers of Reachy 2, and plans to open source Reachy to the public, merging open-source AI with physical embodiment.
- DeepMind introduced Gemini Robotics, integrating language understanding, visual perception, and physical action for robot control in real time.
- Engineers at NUS created a brain-like transistor mimicking neurons and synapses, suggesting efficient AI processors may be built using existing technology.
- XPENG unveiled an AI-focused roadmap connecting EVs, robotics, and autonomous flight, showcasing intentions for embodied intelligence dominance in China.
- Fortune predicts a surge of 3.8 million manufacturing jobs by 2033, urging the need for skilled talent, especially in robotics and automation.
- The allocation of HALEU to advanced reactor developers in the U.S. signifies a pivotal step towards energy independence and advancing next-gen nuclear technology.
- Space-based energy systems, including nuclear propulsion and solar panels, are gaining momentum, aiming to deliver clean energy and expedite travel to Mars.
- Robotics startups like 1X and Tesla are introducing humanoid robots for domestic tasks, potentially reshaping the future household dynamics.
- Zipline's drone delivery service with Walmart in Texas marks a significant urban drone deployment, revolutionizing last-mile logistics with speedy and precise deliveries.
- Waymo's autonomous vehicles demonstrate superior safety record compared to human drivers, paving the way for expanding robotaxi deployments.
Read Full Article
19 Likes
Unite
1d
365
Image Credit: Unite
Alon Chen, CEO and Co-Founder of Tastewise – Interview Series
- Alon Chen is the CEO and Co-Founder of Tastewise, a leading consumer intelligence platform utilizing data and generative AI to offer real-time consumer insights for food and beverage brands.
- Tastewise aims to transform product innovation, marketing strategies, and retail performance by leveraging AI-driven workflows, trusted by global giants like Nestlé, PepsiCo, and Kraft Heinz.
- The idea for Tastewise stemmed from Chen's observation of the challenges his mother faced in accommodating diverse dietary preferences at family dinners, leading to the realization of a broader issue in the food industry.
- Tastewise's AI-powered platform bridges the gap in the food and beverage industry, providing real-time insights to support product development and marketing strategies efficiently.
- Chen's experience as CMO for Google in Greece and Israel equipped him with valuable skills in scaling businesses, digital growth, and data-driven decision-making, which were essential for founding Tastewise.
- Tastewise utilizes generative AI tailored for the food industry, analyzing vast data sources to predict consumer trends accurately and translating insights into revenue-generating opportunities.
- The platform uses a combination of machine learning models like Analogizers, neural networks, and Symbolyst's tree models to provide precise, actionable insights for brands in the food and beverage sector.
- Key culinary trends identified by Tastewise include the rise of techniques like soaking, tenderizing, hibachi cooking, and miniaturization, reflecting evolving consumer preferences in food preparation and dining experiences.
- Tastewise's recent reports highlight trends such as the popularity of Middle Eastern flavors, the appeal of sustainable wine, the influence of health and wellness on consumer choices, and the demand for personalized nutrition solutions.
- In the next 5-10 years, Alon Chen envisions AI transforming how brands innovate, connect with consumers, and streamline their processes, predicting a future where AI becomes a core collaborator in the food and beverage industry.
- Chen advises aspiring entrepreneurs aiming to disrupt traditional industries with AI to focus on solving critical problems, emphasize education and demonstration of AI's value, stay agile, and build a knowledgeable team to drive innovation.
Read Full Article
21 Likes
Unite
1d
34
Image Credit: Unite
Self-Healing Data Centers: How AI Is Transforming IT Operations
- Self-healing data centers are revolutionizing IT operations by leveraging AI to detect, diagnose, and resolve issues proactively, improving efficiency and reducing manual workload.
- Traditional IT operations are reactive and struggle to manage complex hybrid infrastructures, leading to overwhelming alerts and service disruptions.
- AI excels in managing system-generated problems with deterministic outcomes, compressing alerts and resolving issues before they escalate.
- Self-healing processes involve correlation, root cause analysis, and automated remediation, enhancing system resilience.
- The three key pillars of AI-powered resilience include awareness, rapid detection, and optimization to prioritize business-critical technologies and respond swiftly.
- AI bridges the skills gap in IT operations, allowing Level 1 engineers to operate at Level 3 capabilities and empowering experienced specialists for strategic initiatives.
- Implementing self-healing systems requires a strategic approach, defined use cases, governance frameworks, and collaboration with AI to drive innovation.
- Self-healing technology aims to automate routine tasks, minimize human errors, and shift the focus of IT teams from maintenance to innovation.
- Self-healing data centers signify a competitive necessity in the digital economy, providing resilience against disruptions and enabling proactive management.
- With self-healing systems, organizations can redirect resources from managing outages to driving business growth, transforming the role of IT in the enterprise.
Read Full Article
2 Likes
Medium
1d
84
Image Credit: Medium
Mechanical Life: From Hephaestus’s Forge to the Age of Artificial Intelligence
- The concept of machines imitating life has evolved from ancient myths to the age of artificial intelligence.
- Throughout history, there have been various examples of automata, prosthetics, and early ideas of biological joints.
- The convergence of flesh and gear influenced literature, with stories like E.T.A. Hoffmann's 'Der Sandmann' and Karel Čapek's play 'R.U.R.' introducing the idea of humanoid machines.
- Today, the line between human and machine is becoming increasingly blurry, with biocybernetic integration and technologies like neural interfaces challenging our perception of what it means to be alive.
Read Full Article
5 Likes
Discover more
Insider
1d
283
Image Credit: Insider
Humanoid robots are coming to a warehouse near you
- Agility's Digit robot is being used in warehouses, reflecting a growing trend in humanoid robots resembling humans entering various industries.
- Companies like Amazon and GXO are testing humanoid robots for tasks in their warehouses, although the technology is still in its early stages and expensive to implement.
- Investors are heavily investing in the development of humanoid robots to address labor shortages and undertake challenging tasks in different sectors.
- Humanoids are primarily starting their 'careers' in structured environments like warehouses due to safety and adaptability concerns in more dynamic settings.
- Some experts express skepticism about the practicality and cost-effectiveness of humanoid robots, but funding for such projects is on the rise.
- Tech companies and investors see humanoid robots as the next stage in AI, aiming to enhance robotics capabilities in various fields.
- Major players like Agility Robotics, Google's DeepMind, Tesla, and BMW are venturing into humanoid robot development or deployment.
- The adaptation of humanoid robots in warehouses by companies like Ford, Amazon, and GXO indicates a shift towards automation in labor-intensive tasks.
- Challenges lie in the high cost of humanoid robots and the need for advanced adaptability and safety features for broader deployment.
- While the potential of humanoid robots in various industries is being explored, widespread commercial viability is still a work in progress.
Read Full Article
17 Likes
UploadVR
2d
161
Image Credit: UploadVR
REK Wants To Let VR Headset Wearers Pilot Real Fighting Robots
- Rek is a VR robot fighting game where top players can pilot real humanoid robots in physical fights at events.
- The virtual robots in the Rek VR game will have the same movement mechanics as the real robots, allowing players to transfer their skills to real fights.
- Top players of the VR game will be flown out to a physical location to pilot robots using a tethered PC VR headset connected to a PC on the same local network as the robots.
- Rek plans to launch the VR game this year and conduct the first physical robot fights later this year.
Read Full Article
9 Likes
TechCrunch
13h
152
Image Credit: TechCrunch
Robots run a half marathon, slowly
- A humanoid robot half-marathon was held in Beijing's E-Town tech hub, with 21 robots competing alongside human runners.
- The winning robot, Tiangong Ultra, finished the race in 2 hours and 40 minutes, with the help of a human runner and a signaling device.
- Other robots took at least three hours to complete the race, with only four robots finishing ahead of the four-hour cutoff time.
- X-Humanoid, the research institute behind Tiangong Ultra, claimed no other robotics firms in the West have matched their sporting achievements.
Read Full Article
9 Likes
Medium
13h
65
Machine Learning Algorithms used in Robotics
- Supervised learning involves training models on labeled datasets, where each input is paired with the correct output.
- Unsupervised learning deals with unlabeled data, allowing robots to autonomously detect patterns or groupings.
- Reinforcement learning focuses on training agents through trial and error, where they receive feedback based on their actions.
- Deep learning utilizes neural networks with multiple layers to model complex patterns in large datasets.
Read Full Article
3 Likes
Digitaltrends
16h
33
Image Credit: Digitaltrends
Humanoid robots race against humans at unique half-marathon in China
- China recently held the world's first half-marathon where humanoid robots raced alongside humans.
- The event featured a total of 21 robots, with some stumbling and requiring human assistance.
- The winning humanoid robot took 2 hours and 40 minutes to complete the race, significantly slower than the human victor.
- The event aimed to showcase the progress made by Chinese robotics companies, with the winning robot named Tiangong Ultra.
Read Full Article
1 Like
The Robot Report
19h
192
Harvard equips its RoboBee with crane fly-inspired landing gear
- Harvard University researchers have equipped their RoboBee with landing gear inspired by the crane fly to improve landing reliability and protect delicate actuators.
- The updated RoboBee now features long, jointed legs and an improved controller for gentle landings and deceleration on approach.
- Previous landing issues were addressed as the tiny and lightweight RoboBee faced ground effect challenges due to its small size.
- Inspired by nature, researchers mimicked crane fly leg structures to enhance the robot's landing capabilities and reduce ground effect impact.
- The study aimed to improve controlled landings to dissipate energy efficiently post-impact, drawing inspiration from the crane fly's landing characteristics.
- The research team looked into minimizing velocity during landing by studying the unique flying and landing behaviors of the crane fly.
- RoboBee's future applications include environmental monitoring, disaster surveillance, and potentially artificial pollination in vertical farms and gardens.
- The Harvard project, supported by the NSF, focuses on advancing RoboBee's autonomy by incorporating onboard electronics for sensor, power, and control functions.
- By merging biology and robotics, researchers leverage insect-inspired design principles to enhance the RoboBee's flight agility and landing stability.
- Future developments aim at enabling the RoboBee to operate autonomously without tethering, unlocking possibilities in various fields such as agriculture and surveillance.
Read Full Article
11 Likes
The Robot Report
1d
352
Learn about vibration control in manufacturing and robotics
- ITT Enidine Inc., a supplier of engineered mechanical shock absorbers, vibration-isolation products, and noise-attenuation products, plays a valuable role in robotics design.
- ABB plans to spin off its robotics division into a separate company by the second quarter of 2026, citing increased demand for robots in various industries.
- Hugging Face's acquisition of Pollen Robotics demonstrates their aim to bridge the gap between AI and the physical world with customizable humanoid robots.
- Kodiak Robotics, an autonomous trucking developer, intends to go public through a SPAC, aiming to address driver shortages and delivery demands with their AI-based technology.
Read Full Article
21 Likes
The Robot Report
1d
187
MISUMI acquires Fictiv for $350M to scale component offerings
- MISUMI Group Inc. acquires Fictiv for $350 million to scale component offerings.
- The acquisition aims to accelerate the development of AI-driven systems for efficient manufacturing.
- Fictiv's global manufacturing supply chain simplifies the process of sourcing custom mechanical components.
- The acquisition will help MISUMI offer a single global platform for building complete bills of materials (BOM) with speed, price, and quality.
Read Full Article
11 Likes
The Robot Report
1d
165
NexCOBOT demoing advanced control system at Robotics Summit
- NexCOBOT, a provider of robotic solutions, will be exhibiting at the Robotics Summit & Expo.
- They will showcase an advanced control system optimized for Real-Time Linux with an EtherCAT Master Stack.
- NexCOBOT's comprehensive Functional Safety system supports safety fieldbus communication and features a ready-to-use safety controller.
- During the event, NexCOBOT will also have a speaker discussing the importance of safety in robotics.
Read Full Article
9 Likes
Unite
2d
29
Image Credit: Unite
How AI is Redrawing the World’s Electricity Maps: Insights from the IEA Report
- Artificial intelligence (AI) is transforming the global energy sector, as highlighted in the latest report from the International Energy Agency (IEA).
- AI's rapid growth, particularly in data centers, is leading to a significant increase in electricity demand.
- While AI poses challenges with growing energy consumption, it also presents opportunities for energy efficiency and sustainability.
- Data centers, essential for AI models, are major electricity consumers, with their demand expected to double by 2030.
- The concentration of data centers in regions like the U.S., China, and Europe poses challenges for electricity grids.
- Strategies like diversifying energy sources and implementing AI for efficiency are crucial to meet AI's energy demands.
- AI plays a significant role in optimizing energy systems by improving production, lowering costs, and integrating renewable energy.
- AI applications include supply and demand forecasting, predictive maintenance, grid management, demand response, and enhancing consumer services.
- Collaboration between energy and technology sectors is essential to manage risks and harness AI's potential in the energy sector.
- AI's adoption speed, hardware efficiency, and energy sector capacity will shape future electricity consumption patterns.
Read Full Article
1 Like
For uninterrupted reading, download the app