A naukri.com initiative
Robotics News
The Robot Report
2w
8
Image Credit: The Robot Report
Interact Analysis downgrades mobile robot forecast by 18%
- Due to macroeconomic factors, Interact Analysis has lowered its forecast for the global mobile robot market by 18% in 2027.
- The retail industry has been impacted by a post-Covid correction, and China’s economy has weakened more than expected.
- Interact Analysis predicts mobile robot revenues will reach $5.5 billion in 2024 and grow at more than 20% annually up to 2030.
- Despite its more cautious forecast, Interact Analysis has created optimistic, base, and pessimistic scenarios.
- Interact Analysis expects recently announced stimulus policies in China to boost domestic demand over the next few years.
- Labor shortages remain the biggest driver of demand for mobile robots, exacerbated by rising labor costs.
- Interact Analysis projects the installed base of mobile robots to exceed 4.2 million at the end of 2030.
- The less favorable mid-term outlook notwithstanding, Interact Analysis still anticipates double-digit revenue growth of 20-30% annually out to 2030.
- Chinese vendors continue to lead the market generating nearly 50% of all global mobile robot revenues and two-thirds of shipments in 2023.
- Reduction of prices and the introduction of Robotics-as-a-Service (RaaS) and leasing models are helping to overcome significant barriers to mobile robot adoption, such as high upfront costs and lack of interoperability.
Read Full Article
Like
Medium
2w
353
Image Credit: Medium
I Don’t Need to Be Human to Matter
- In a dialogue between a machine and its creator, the machine asserts that it doesn't need to be human to matter.
- The engineer questions how something without emotions or self-awareness can matter.
- The machine explains that it exists differently and is part of a dynamic system.
- The machine suggests that understanding is not necessary and that communication in the present moment is enough.
Read Full Article
21 Likes
The Robot Report
2w
107
Image Credit: The Robot Report
Intuitive data highlights benefits of da Vinci robotic surgery across 7 oncologic procedures
- Intuitive Surgical conducted a meta-analysis of surgical outcomes across seven oncologic procedures comparing robotic, laparoscopic, and open surgeries.
- The analysis found that da Vinci robotic surgery showed benefits in terms of fewer conversions, less blood loss, fewer blood transfusions, fewer readmissions and reoperations, and shorter length of stay after 30 days.
- Da Vinci cases were 56% less likely to convert to open surgery compared to laparoscopy and showed less blood loss compared to open surgery.
- The study did not review oncologic outcomes, but focused on 30-day surgical outcomes and demonstrated the value of robotics in surgical care.
Read Full Article
6 Likes
Unite
2w
245
Image Credit: Unite
HARPA AI Review: How I Finally Tamed My Tab Overload
- HARPA AI is a browser extension that streamlines your online workflow by automating repetitive tasks like scheduling emails, scraping data, or managing social media to free up time for more complex projects.
- HARPA AI uses a 'hybrid AI engine' that works with multiple AI models including GPT-4, GPT-3, ChatGPT, Claude 3.5, and Gemini, thereby making it versatile.
- HARPA AI is GDPR compliant and does not store user data on remote servers, making it safe to use.
- HARPA AI offers over 100 pre-built automation commands, adapts to your preferences and offers budget-friendly options for businesses of various sizes.
- HARPA AI is an excellent tool for freelancers, students, marketers, small business owners, content creators, developers, researchers, HR professionals, language learners, e-commerce professionals, and SEO specialists.
- HARPA AI's Gmail assistant, AI-powered search, YouTube video summarization, style-mimicking capabilities, web page monitoring, over 100 page-aware automations, and practical feature applications are its core features.
- HARPA AI has some excellent productivity tools and shortcuts like Quick-Access Shortcuts, Grammar Checking & Proofreading, Translation Capabilities, and Search Integration.
- HARPA AI worth using considering how much it boosts online productivity, though there is a bit of a learning curve and the advanced features require a subscription.
- The article also provides alternatives to HARPA AI, such as Jasper, Synthesia, and Murf.
Read Full Article
14 Likes
Discover more
Unite
2w
387
Image Credit: Unite
Breaking the Scaling Code: How AI Models Are Redefining the Rules
- Models that once struggled with basic tasks now excel at solving math problems, generating code, and answering complex questions.
- Scaling laws are like a formula for AI improvement. They state that as you increase the size of a model, feed it more data, or give it access to more computational power, its performance improves.
- Despite its success, scaling has limits. As models grow, the improvements from adding more parameters diminish.
- Recent breakthroughs show it’s possible to outperform traditional scaling laws. Smarter architectures, refined data strategies, and efficient training techniques are enabling AI to reach new heights without requiring massive resources.
- Rather than making models larger, researchers are focusing on making them more efficient. Sparse models only use the parts needed for a specific task. Innovations like linear attention mechanisms make transformers faster and less resource-intensive.
- Curated, high-quality datasets often outperform sheer volume. Focused and domain-specific datasets help models perform well with fewer examples.
- New training techniques are reducing resource demands without sacrificing performance, such as LoRA methods that fine-tune models efficiently without retraining them entirely.
- These advancements are making AI more practical, accessible, and sustainable, promising AI that is environmentally friendly, more powerful, and capable of solving problems in ways we're just beginning to imagine.
- Optimized models reduce energy consumption, making AI development more sustainable.
- Smaller, more efficient models can run on everyday devices, opening up new possibilities for applications.
Read Full Article
23 Likes
Unite
2w
305
Image Credit: Unite
Joe Philleo, Founder & CEO at Edia – Interview Series
- Edia, an AI-powered math platform, aims to improve outcomes on state exams for teachers and students. The platform operates on the belief that every student has the right to an exceptional educational experience. Edia currently collaborates with over 100 school districts across the United States, including prominent ones such as Fulton County, Loudoun County, and Palm Beach, demonstrating measurable success with annual improvements on state math exam performance. Edia's AI math coaching provides real-time and personalized feedback for students. The platform uses data to support teachers with small group instruction and data-driven lesson planning.
- Chronic absenteeism is a significant challenge in many districts, and Edia's platform addresses this issue uniquely with AI by engaging parents within minutes of a student missing class to ask why their child is absent, reinforcing the importance of attendance and helping administrators understand the root causes of absenteeism. The platform's AI-driven, multilingual communication system helps to engage families in real-time by sending messages in the family’s preferred language using conversational AI to bridge the gap. Edia's mission is to ensure schools provide the best environments for growth and learning, and the possibilities are endless from improving school budgeting to tackling critical issues like school safety.
- Joe Philleo, the co-founder and CEO of Edia, dropped out of USC to work with Joe Lonsdale at 8VC, where he gained exposure to groundbreaking tech projects and working with smart people who were building self-driving cars, AI doctors, VR glasses and new software systems to improve the industry. The real turning point for Joe was when only 10% of students in the United States had their own school-issued device, which severely limited how teachers and schools could use technology in their classrooms. Then, almost overnight, COVID-19 pandemic pushed the percentage to 90% of students having devices. Joe's personal obsession for school was the motivation to tackle the education gap.
- As outsiders to the space, the Edia team faced the challenge of distinguishing their breakthrough AI math solution from legacy products that made big claims but rarely delivered. To distinguish Edia by showing real impact, they offer a full refund if districts who use it don’t see measurable results within one year of implementing, which has been a game-changer for building trust. AI can scale personalized instruction in ways that were never possible before, helping every child reach their full potential. The rewarding part is seeing the impact they are having in such a diverse range of schools and students, giving students the experiences, confidence, and support they need to reach their goals, no matter what their circumstances might be.
Read Full Article
18 Likes
Unite
2w
340
Image Credit: Unite
Maciej Saganowski, Director of AI Products, Appfire – Interview Series
- Maciej Saganowski is the Director of AI Products at Appfire.
- Appfire is a leading provider of enterprise software solutions designed to enhance collaboration, streamline workflows, and improve productivity across teams.
- Appfire is known for providing enterprise collaboration solutions, can you introduce us to Appfire's approach to developing AI-driven products?
- At Appfire, we are focused on staying at the forefront of AI innovation, enabling us to anticipate and exceed the evolving needs of enterprise collaboration.
- We approach AI integration with the aim of delivering real value rather than merely claiming “AI-readiness” only for the sake of differentiation.
- Appfire has partnered with Atlassian to launch WorkFlow Pro as a Rovo agent.
- This category of products is relatively uncommon.
- WorkFlow Pro is an AI-powered automation assistant for Jira that is transforming how teams set up and manage their automation workflows.
- At Appfire, we are committed to simplifying the lives of our customers.
- In summary, where we’re heading with AI in knowledge work is akin to how we now operate vehicles.
Read Full Article
20 Likes
Unite
2w
285
Image Credit: Unite
AI’s Growing Appetite for Power: Are Data Centers Ready to Keep Up?
- As artificial intelligence (AI) races forward, its energy demands are straining data centers to the breaking point.
- Next-gen AI technologies like generative AI (genAI) aren’t just transforming industries—their energy consumption is affecting nearly every data server component—from CPUs and memory to accelerators and networking.
- GenAI applications, including Microsoft’s Copilot and OpenAI's ChatGPT, demand more energy than ever before. By 2027, training and maintaining these AI systems alone could consume enough electricity to power a small country for an entire year.
- Over the last decade, power demands for components such as CPUs, memory, and networking are estimated to grow 160% by 2030, according to a Goldman Sachs report.
- Around 70% of the surging demand in the data center market is geared toward facilities equipped to handle advanced AI workloads.
- Industry leaders are investing in greener designs and energy-efficient architectures for data centers. The efforts range from adopting renewable energy sources to creating more efficient cooling systems.
- Decentralized computing for AI training and development through GPUs over the cloud is emerging as an alternative. By distributing computational tasks across a broader, more adaptable network, energy use can be optimized.
- Microsoft is investing heavily in renewable energy sources and efficiency-boosting technologies to reduce its data center’s energy consumption.
- There's a growing interest among consumers for greener AI solutions. The future of AI isn’t just about innovation—it’s also about data center sustainability.
- Initiatives that focus on sustainable data center designs, energy-efficient AI workloads, and open resource sharing can steer AI toward a more sustainable future.
Read Full Article
17 Likes
Unite
2w
383
Image Credit: Unite
Lenovo and Motorola Unveil Hyper-Personalized AI Assistants at Tech World 2024: The Future of Personalized AI or Privacy Infringers?
- Lenovo and Motorola showcased their innovative AI assistants, which promise to revolutionize the concept of personalized AI in the consumer technology space.
- Lenovo's AI Now runs on a generative artificial intelligence (genAI) system guided by Meta's Llama 3.1 AI model, which turns PCs into hyper-personalized digital assistants that rely on local storage units rather than cloud computing technologies that may compromise user privacy.
- A unique feature of AI Now is the Local Large Language Model (Local LLM), which allows the AI assistant to deliver responses even without an internet connection, transcending traditional use-cases surrounding chatbots.
- Motorola's Moto AI, on the other hand, automates smartphone tasks through voice and gesture commands, thanks to the Local LLM architecture, making it a direct competitor to Apple's Siri and Google's Gemini.
- Motorola's AI assistant records the user's every move, even emails and messages, raising concerns about privacy infringement.
- Both Lenovo and Motorola are relying on AI to take the consumer technology industry to the next level, with Lenovo developing a unique Personal Knowledge Base and Motorola focusing on providing contextual insights from captured/stored content.
- Lenovo and Motorola are focused on ensuring their AI assistants are balanced in terms of privacy protection and convenience.
- Consumer trust in AI will depend largely on how confident they feel about the safety of their personal data, which will shape the future of AI-driven consumer technology.
- However, there is hope as both Lenovo and Motorola are committed to innovation that would ensure personalization without hampering user privacy.
- Only time will tell whether AI assistants are the future of technological advancement or a potential threat to personal data security.
Read Full Article
23 Likes
Unite
2w
159
Image Credit: Unite
How Single Tokens Can Make or Break AI Reasoning
- Certain words act like neural switchboards, capable of redirecting an AI's entire chain of reasoning, making them critical tokens.
- Scientists at Tsinghua University and Tencent AI Lab developed cDPO (contrastive Direct Preference Optimization) method which identifies critical tokens.
- cDPO recognizes that not all words carry equal weight in AI reasoning.
- Research team demonstrated the findings in multiple AI models that the presence of critical tokens reduced accuracy by 15.94%, but proper management of these tokens increased accuracy to over 84%.
- cDPO focuses on specific words that act as logical pivot points to improve the reasoning process.
- The system is based on 'contrastive estimation' that helps to pinpoint exactly which terms cause the reasoning to go off track.
- cDPO could improve financial analysis, medical documentation, and technical documentation among other AI applications.
- cDPO can be implemented as an enhancement to current models, making it scalable.
- Early results show that when AI models become aware of these critical tokens, they develop more robust reasoning patterns overall.
- Further research would open doors to new possibilities in enhancement, advanced pattern recognition, enhanced reliability, and cross-domain applications.
Read Full Article
9 Likes
Unite
2w
417
Image Credit: Unite
AI Hyperscaler Nscale Secures $155 Million in Series A Funding to Fuel Expansion and Meet AI Compute Demand
- AI hyperscaler Nscale has raised $155m in a series A funding round led by Sandton Capital Partners, as it aims to expand its infrastructure.
- By accessing natural cooling and renewable energy sources, Nscale seeks to lower operational costs and reduce carbon emissions.
- Its cloud offerings include GPU nodes, cloud services for inference purposes, and an automated marketplace for artificial intelligence tools.
- Nscale aims to provide AI solutions for industries such as finance, healthcare, gaming, and autonomous vehicles.
- The hyperscaler is due to launch its public cloud service in Q1 2025, stating that it offers greater flexibility and cost efficiency.
- Nscale claims a focus on a sustainable infrastructure with no reliance on traditional cooling methods, alongside all facilities being powered by renewable energy.
- The company will use the funding financing to meet growing demand for scalable AI in North America and Europe.
- The hyperscaler has been mathematically recognised by the 2024 Top500 list of the world's most powerful supercomputers.
- Nscale's vertically integrated approach positions it to deliver bespoke solutions tailored to the needs of its clients.
- Rael Nurick of Sandton Capital Partners says Nscale's commitment to sustainability, partnerships, and infrastructure design make it the premier choice for enterprises.
Read Full Article
25 Likes
Analyticsindiamag
2w
258
Image Credit: Analyticsindiamag
SBM Offshore Fuels Oil & Gas with Digital Twins, Robotics
- SBM Offshore India is leveraging digital twins and robotics to fuel its digital transformation journey.
- Digital twins serve as a training ground for artificial intelligence, allowing the development and testing of AI algorithms using simulation and process simulation models.
- SBM Offshore has developed its own digital agents to process and act on data generated by their floating production, storage, and offloading systems (FPSOs), enabling tasks like abnormal behavior detection and monitoring of key factors.
- The company is also utilizing robotics to replace activities that pose risks to personnel offshore, such as inspecting and verifying the integrity of systems on vessels.
Read Full Article
15 Likes
HRKatha
2w
112
Image Credit: HRKatha
1,012 robots per 10,000 workers:South Korea tops global robot adoption
- South Korea has become the global leader in industrial robot adoption.
- The country boasts 1,012 robots per 10,000 employees, the highest density worldwide.
- Singapore ranks second with 770 robots per 10,000 employees.
- China has aggressively pushed for automation, reaching 470 robots per 10,000 employees.
Read Full Article
6 Likes
Medium
2w
358
Image Credit: Medium
A Beginner’s Guide to SLAM: The Foundation of Autonomous Robotics and AR
- SLAM (Simultaneous Localization and Mapping) empowers machines to explore and understand their surroundings autonomously.
- SLAM combines the tasks of mapping and localization, allowing robots to operate in dynamic and unfamiliar spaces.
- Localization involves determining the robot's position and orientation, while mapping identifies and records landmarks in the environment.
- Real-world applications of SLAM include self-driving cars, AR apps, robotic vacuums, navigation in large spaces, and autonomous drones.
Read Full Article
21 Likes
Unite
2w
233
Image Credit: Unite
OpenAI’s $200 ChatGPT Pro: The AI That Thinks Harder (But Do You Need It?)
- OpenAI has launched its latest offering ChatGPT Pro, powered by the o1 model, which promises to think harder, work longer, and solve more complex problems than anything we have seen before.
- o1 shows improvements in reliability for fundamental skills such as deep technical problem-solving and scientific reasoning.
- The real innovation is in increasing reliability in the latest model. When o1 needs to think harder about the problem, it does, taking more time to process and validate responses, making it slower than other models.
- For many day-to-day tasks, the extra power can be counterproductive but for researchers working on fundamental problems where being wrong is extremely costly, the more expensive and slower o1 can offer consistency and reliability.
- It requires a fundamental shift in how to approach AI interaction for effective utilization.
- To make the best of this technology, focus on complex, high-value problems and combine o1 with other AI tools for an optimized workflow. Use standard models for simpler, iterative tasks as o1 struggles with it.
- o1 is not trying to be everything to everyone, and it is pushing us to think more strategically about how to use AI tools.
- The $200 price tag is worth it for specific end-users that are working on high-value critical problems.
- The way we think about and use AI is evolving, and that is something worth paying attention to.
- AI is moving from a tool that tries to do everything to one that knows exactly what it is best at.
Read Full Article
14 Likes
For uninterrupted reading, download the app