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Robotics News
Unite
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AlphaQubit: Solving Quantum Computing’s Most Pressing Challenge
- DeepMind and Quantum AI introduced AlphaQubit to make quantum computing more reliable and practical by predicting and fixing quantum errors before they occur.
- As quantum computers grow, they are more susceptible to errors and noise, making accurate error detection and fixing a key hurdle to scale these large quantum systems.
- AlphaQubit is a neural network-based system that uses neural transformer, a type of deep learning model to predict and fix quantum errors by checking logical qubits, spotting errors with great accuracy.
- AlphaQubit made 6% fewer mistakes than traditional methods and 30% fewer than other techniques in tests, showing its promise in improving error correction in quantum computing.
- AlphaQubit has the potential to make quantum systems more reliable, easier to scale, more efficient, and to reduce the need for so many physical qubits.
- AlphaQubit could help avoid quantum system errors for industries like drug discovery and cryptography, ensuring quantum computers deliver more consistent and accurate outputs.
- There are still challenges with AlphaQubit concerning speed and scalability. Enhancing the efficiency of the neural network and refining the training process could help increase the response time of AlphaQubit.
- Improvements in AI and quantum computing could unlock the full potential of quantum systems, bringing us closer to a future where quantum computers are solving some of the world’s toughest challenges.
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TechCrunch
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100
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Amp Robotics raises $91M to build more robot-filled waste sorting facilities
- Amp Robotics has raised $91 million in a Series D funding round.
- The company focuses on running waste sorting facilities with the help of robots.
- Amp Robotics has deployed around 400 robots and operates three facilities.
- The funding round was led by Congruent Ventures with participation from other investors.
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Unite
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Utilizing AI to Predict and Prevent Internet Outages
- AI is revolutionizing the internet service landscape by optimizing incident response, efficiency and data analysis and reducing financial impacts caused by outages and disruptions.
- Internet providers constantly adapt to meet customer demands, including implementing AI-powered systems.
- AI's predictive analysis can accurately identify the time frame and frequency of internet outages or disruptions.
- AI can forecast demands and usage to notice potential clients through historical data and customer demographic information.
- Predictive AI can reduce the severity of cyberattacks by identifying unusual activities that could mean a cyberattack is underway and launch countermeasures to mitigate the risks.
- AI can improve bandwidth and network traffic management by analyzing demands and optimizing services that can reduce inefficiencies and downtime.
- AI's automated monitoring and analysis abilities can provide data in real-time and reduce staff workload, improving problem-resolution processes.
- AI-powered systems enhance their response and efficiency, allowing internet providers to improve their responses and services to be more efficient and prompt.
- AI-powered maintenance occurs via predictive analysis, reducing redundant time-based system checks and enabling a systematic repair response only when needed.
- Automated service management, optimized data analysis and robust AI-powered incident response strategies maximize operational efficiency.
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The Robot Report
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418
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The Wild Robot author Peter Brown on robots, nature, storytelling
- Author and illustrator Peter Brown talks about his series ‘The Wild Robot’ featuring a robot named Roz that finds itself on an island filled with wild animals, in a special episode of The Robot Report podcast.
- Peter describes the experience of seeing his story adapted into an animated movie by DreamWorks and working with the movie director Chris Sanders to bring Roz to life on the big screen.
- The Wild Robot movie, which is based on the first book in the series, has seen tremendous box office success, having earned more than $320 million worldwide, and is on the top 100 list of the high-grossing animated films of all time.
- Peter talks about the creative writing process and background research he did about robotics to create the plot that led him to the specific characteristics of the robot in the story.
- Peter talks about how he came up with the initial design for Roz and how he determined what she should look like and what capabilities she should have.
- The story is full of heartwarming moments as well as humor, featuring a fish-out-of-water story where Roz is a robot who’s where she doesn’t belong, encountering stuff that she doesn’t know how to handle.
- Peter met regularly with Chris Sanders, the director of the film, and producer Jeff Herman to discuss the project and see the evolution of the project over time during the animation process.
- Peter describes the changes DreamWorks made to the animation, saying he knew they were going to be making lots of cuts and tweaking things.
- None of that surprised him as he knew it’s hard to cram a whole lot into an hour and a half and manage to keep the spirit of the story, which is the main component that drives the story.
- The book series and sequels are bestsellers and have been translated into 30 languages, or maybe more by now.
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Unite
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135
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Arik Solomon, Co-Founder & CEO of Cypago – Interview Series
- Arik Solomon is the Co-Founder and CEO of Cypago, a platform that eliminates the hassle of compliance for businesses.
- Cypago’s Cyber GRC Automation Platform transforms the traditionally manual, time-consuming process of meeting security standards into an efficient, AI-driven workflow.
- Cypago’s platform streamlines compliance and risk management by automating key workflows, data collection, and analysis.
- The platform’s intelligent automation not only speeds up audit and compliance tasks but also reduces human error, enhances data accuracy, and frees up resources, enabling teams to focus on strategic activities rather than tedious operational work.
- Cypago’s platform stands out in the Cyber GRC space due to its advanced integration of AI-driven automation.
- The platform incorporates advanced natural language processing (NLP) to power its intelligent chatbot, which acts as a virtual compliance assistant.
- Cypago’s automation approach, anchored in continuous control monitoring, ensures that organizations maintain continuous compliance even as the threat landscape and regulatory environment evolve.
- One of the biggest challenges in AI compliance is the ambiguity of regulatory standards, which vary widely across jurisdictions and industries.
- At Cypago, they are building solutions that address the challenges of transparency and compliance for AI and cyber risk management processes.
- Cypago aims to be a trusted partner for organizations worldwide, enabling them to confidently leverage AI while remaining aligned with global standards.
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Unite
2w
52
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The Failure of LLMs in Math and How to Solve For It
- Large language models (LLMs) often struggle with complex mathematical tasks that demand advanced reasoning skills.
- Recent findings show that AI models' mathematical ability is driven by recall of training data rather than genuine reasoning.
- A study revealed that AI model performance consistently declined on more challenging math problems that deviated from the training data.
- To bridge the gap between recall and reasoning in AI, continued innovation and understanding are required.
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Unite
2w
21
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Dean Guida, CEO of Infragistics and Founder of Slingshot – Interview Series
- Dean Guida is the founder of Infragistics, a global enterprise software leader, and its recent addition, Slingshot.
- Infragistics has grown to six countries and more than two million developers.
- Dean was responsible for scaling Infragistics and for creating a company culture centered around growth, innovation, and collaboration.
- Slingshot unifies data, AI, and work management in a single platform, helping you make faster, smarter decisions while driving business growth and collaboration.
- Slingshot AI pairs centralized data with conversational AI, enabling teams to quickly access and analyze data to integrate into their everyday workflows and decisions.
- Slingshot’s ability to analyze data from different sources is impressive, making it easy for companies to be data-driven organizations.
- Over the next few years, Slingshot AI will become an even more intuitive and integrated part of employees’ daily workflows.
- Dean advocates being open to change and continuously assessing how to stay aligned with customers’ needs.
- Dean's core philosophy is based on his personal experiences and offered as advice to SaaS entrepreneurs in his book, When Grit is Not Enough.
- Dean recommends taking it piece by piece for companies that want to integrate AI into their operations.
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TechCrunch
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248
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ARX launches firestick-like platform to make military trucks autonomous
- ARX Robotics has launched ARX Mithra OS, an AI-based operating system that turns military vehicles into intelligent, interconnected autonomous units.
- The system comes with hardware cameras and sensors that can be mounted onto military trucks or similar vehicles.
- ARX Robotics aims to upgrade existing legacy fleets of NATO armed forces by providing a software and hardware solution.
- The startup aims to enable interoperability and collaboration among different assets of modern warfare, improving fleet intelligence and situational awareness.
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Dev
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How to Integrate Azure AI with Robotics for Smart Solutions
- Azure AI services can be integrated with robotics to create smarter and more efficient systems.
- Azure Cognitive Services offers various AI tools, including image recognition, speech services, and natural language understanding.
- To integrate Azure AI, set up the Cognitive Services API in the Azure Portal and utilize the REST API to send requests and process responses.
- Practical applications of Azure AI in robotics include smart navigation, voice interaction, and natural language understanding.
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5 Likes
Medium
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148
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Where Do Tp’s - B and C Converge?
- The question revolves around the convergence of Tp's B and C.
- After converging, both Tp's B and C disappear, leaving only Tp A.
- The convergence of Tp B and Tp C is represented by the equation: Tp A(y) = -8 * (Tp BC)(y).
- It is important to consider the inflection points (Ip's) of the design function.
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The Robot Report
3w
209
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Study finds both AR and robot-assisted surgeries enable high precision
- A study at the Hospital for Special Surgery (HSS) compared robot-assisted navigation and augmented reality (AR) in spinal surgery.
- Both techniques demonstrated excellent accuracy and safety for pedicle screw placement, essential in spinal surgeries.
- The study found no significant difference between robot-assisted and AR screw placement in terms of accuracy, with high ratings for both techniques.
- The results confirm that both robotics and AR are safe and accurate tools for positioning pedicle screws.
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The Robot Report
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COVAL releases MPXS, its smallest micro vacuum pump to date
- COVAL SAS has released its latest micro vacuum pump, the MPXS.
- The MPXS micro vacuum pump is pilot-controlled, ultra-compact, and equipped with high-performance communication capabilities.
- It is designed for efficient handling of non-porous parts at high speeds on robots or automated systems.
- With a width of 12.5 mm and a weight of 87 g, it is the smallest vacuum pump created by COVAL.
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Unite
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83
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The Real Danger of Language Models: AI-Powered Scams
- The broad integration of large language models (LLMs) into every facet of digital communication has elevated the stakes for phone scams dramatically.
- AI-powered scams, which are now blending real-life stories with fake but convincing voices and fabricated scenarios, have become an emerging reality.
- Criminals have been attempting to deceive unsuspecting individuals into transferring money or divulging sensitive information for years. However, phone scams continue to be a lucrative criminal enterprise.
- The landscape of phone scams is poised for a dramatic shift with the advent of several key technologies such as LLM, retrieval-augmented generation, synthetic audio, synthetic video, and AI lip-syncing.
- As AI-powered scams become increasingly sophisticated, methods of verifying identity and authenticity will also have to evolve.
- To keep online space safe, there will have to be regulatory as well as technological advancements. Various advancements being developed include Synthetic audio detection, Synthetic video detection, biometric-based authentication, and Blockchain-Based Identity Verification Authentication.
- Regulations could mandate the most powerful AI models be hosted on private, secure cloud infrastructures. Governments and regulatory bodies should invest in public awareness campaigns to educate citizens about the potential risks of AI scams and how to protect themselves.
- These advancements hold immense potential for positive applications, they also pose significant risks when weaponized by scammers. This ongoing arms race between security experts and cybercriminals underscores the need for continuous innovation and vigilance in the field of digital security.
- We can work towards harnessing the benefits of these powerful tools while mitigating their potential for harm only by acknowledging and preparing for these risks. The article concludes with a call for comprehensive regulation, education, investment in security measures, and skepticism when engaging with unknown entities over the phone or online.
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Unite
3w
109
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Smaller, Smarter, and Faster: How Mistral AI is Bringing Edge Devices to the Forefront
- Mistral AI is leading the transformation to intelligent edge computing.
- Edge computing reduces latency, provides better data privacy and decreases the load on cloud infrastructure.
- Mistral AI’s Ministral 3B and Ministral 8B enable smaller devices to run advanced AI models.
- The ability to process data in real-time on the device is invaluable in applications where instant responses are vital.
- Mistral AI has formed partnerships with leaders in the tech industry like Qualcomm.
- The transition to edge computing enables secure AI applications.
- Mistral AI's edge models offer reduced latency, cost and energy efficiency, and reliability.
- Mistral AI’s edge devices benefit various sectors including automotive, consumer electronics, smart homes, IoT applications, and finance.
- Mistral AI's Codestral model was incorporated into Google Cloud in July 2024.
- BNP Paribas has adopted Mistral AI’s edge solutions to enhance customer service and operational efficiency.
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