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Robotics News
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Sarah Assous, Vice President of Product Marketing, Akeneo – Interview Series
- Sarah Assous serves as the Vice President of Product Marketing at Akeneo, overseeing strategic messaging, positioning, and go-to-market strategies.
- Akeneo is a global leader in Product Information Management (PIM) and the creator of the intelligent Product Cloud that enhances product experiences.
- The Product Cloud offers a suite of technologies for dynamic and static product data throughout the lifecycle, along with AI-powered solutions and an extensive integration network.
- AI in PIM includes data cleaning, enrichment, content generation, multilingual support, and improved search functions to enhance product data management.
- Akeneo's Supplier Data Manager automates data collection and enrichment to facilitate collaboration between retailers and suppliers.
- AI ensures data accuracy and consistency across channels by automating standardization, enrichment, and validation processes.
- Challenges in AI implementation include data quality, scalability, and maintaining brand authenticity, which Akeneo addresses through its Product Cloud solution.
- AI-driven personalization strategies improve customer experiences by leveraging data analysis for tailored interactions and product recommendations.
- Akeneo optimizes product discovery and search functionality with AI capabilities, ensuring accurate product listings and supplier data.
- Common bottlenecks in enterprise product data management are alleviated by Akeneo's AI features, enabling multilingual support and intelligent content generation.
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What’s Next for Automatic Speech Recognition? Challenges and Cutting-Edge Approaches
- Automatic Speech Recognition (ASR) faces challenges like low-resource languages, noisy environments, and domain generalization.
- Researchers are exploring innovative approaches such as end-to-end ASR + TTS systems and ASR encoders with language model decoders.
- Self-supervised and multimodal learning are advancing ASR capabilities by integrating audio, text, and visual data.
- Few-shot learning and contextualized ASR aim to improve adaptability to new tasks and enhance comprehension by considering broader contexts.
- Efforts are underway to develop lightweight ASR models for edge devices using techniques like quantization and distillation.
- The next wave of ASR innovation focuses on overcoming technical challenges to create more natural and expressive conversational AI systems.
- ASR breakthroughs aim to offer seamless interactions with AI that understand intent, tone, and context, breaking down language barriers.
- ASR plays a pivotal role in the development of conversational AI, offering endless possibilities for applications and interactions with advanced technologies.
- Continued support and exploration of ASR are crucial as the field continues to evolve, bringing forth exciting advancements in technology.
- The blog encourages further engagement with ASR research and tools, highlighting the ongoing innovations in the field.
- ASR remains at the forefront of innovation, paving the way for sophisticated conversational AI systems in the digital era.
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The Robot Report
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2025 Robotics Summit early bird registration ends Feb. 28
- Early bird registration for the 2025 Robotics Summit & Expo ends Feb. 28.
- Buy your full conference pass before then to save 40% ($200).
- The expo will have over 200 exhibitors showcasing the latest enabling technologies, products, and services.
- The summit features keynote speakers from Boston Dynamics, Symbotic, Amazon Robotics, MIT CSAIL, and PSYONIC.
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The Role of Generative AI in Banking: Choosing the Right Solution for Right Now
- The discussion on Generative AI in banking often centers around efficiency and job displacement, but it's crucial to consider the right solutions and the role of humans in the process.
- AI has the potential to replace routine tasks in banking, but decisions in the industry are personal and nuanced, requiring a clear purpose and understanding of limitations for responsible deployment.
- Banking processes can be streamlined with AI, but not all AI solutions are equal, and they must be designed with the recognition of the significance of banking decisions.
- AI must be carefully managed in banking to prevent risks, biases, and errors, especially in critical areas like loan approvals, credit assessments, and fraud investigations.
- Accountability and accuracy are crucial in banking, where errors by AI can lead to financial and reputational risks, making human oversight essential.
- AI should enhance human decision-making in banking, focusing on transparency, accountability, and clear guidelines for tasks requiring human judgment.
- AI in banking should be deployed within a framework ensuring human oversight, transparency, and the ability for human decision-makers to validate and take responsibility for outcomes.
- AI can automate tasks, provide insights, and boost efficiency in banking, but it should be a strategic ally, not a wholesale replacement for human talent.
- The future of banking involves thoughtful adoption of AI, balancing speed with human judgment to ensure accuracy and efficiency while defining clear goals and boundaries for AI use.
- Banks must focus on skilling up with AI today to prepare for more analytical, high-value roles in the future, transforming operations with a human-centered approach.
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TechCrunch
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Apply to Speak at TechCrunch Sessions: AI before the deadline
- TechCrunch is inviting AI innovators to apply and speak at TechCrunch Sessions: AI.
- The event aims to gather AI founders, investors, and enthusiasts to exchange ideas and navigate the evolving world of AI.
- Speakers can lead a breakout session to delve deep into important AI topics and interact with the audience.
- The application deadline for content submissions is March 7th, so interested individuals should apply soon.
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The Robot Report
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ANYbotics is coming to Australia, New Zealand with Chironix partnership
- ANYbotics AG is partnering with Chironix Pty. Ltd. to bring its robots to Australia and New Zealand.
- The partnership aims to deliver systems that enhance safety and reliability in heavy industries.
- Chironix will offer the ANYmal quadruped for direct purchase or through RaaS model.
- ANYbotics and Chironix plan to host a roadshow across the east coast of Australia to showcase autonomous robotic inspection.
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The Robot Report
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Enterijer Mesicki, RoboDK automate furniture milling and sanding
- Enterijer Mesicki, in collaboration with RoboDK, has developed a new robotic cell for aggregate processing and milling in furniture manufacturing.
- The system combines FANUC robot line and RoboDK software for enhanced precision, efficiency, and sustainability.
- Enterijer Mesicki plans to introduce advanced aggregates for curvilinear edge banding and expand its technological capabilities.
- The robotic cell includes a belt sander, orbital sander, and milling motor for high-speed material removal, fine finishing, and intricate cutting, respectively.
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A Forensic Data Method for a New Generation of Deepfakes
- Deepfake attacks can harm individuals by falsely attributing them to certain content, even without explicit identification.
- Current methods like Low-Rank Adaptation (LoRA) are commonly used for disseminating identity-focused models, often targeting female celebrities.
- Distinct individuals face inevitable association with AI-generated content due to face recognition systems linking them automatically.
- A new paper from Denmark proposes a method to identify source images in a black-box Membership Inference Attack (MIA).
- The research focuses on exposing source data by generating 'deepfakes' and finding signs of memorization in AI-generated images.
- Forensic analysis can reveal if AI models were fine-tuned on specific faces, aiding in proving intent and potential copyright infringement.
- Detection of source images is more effective in extensively fine-tuned AI models, especially in cases of LoRAs targeting individuals.
- Visible watermarks in training images enhance detection accuracy, while hidden watermarks offer minimal advantage.
- Membership inference attacks, tested on faces and other objects fine-tuned models, show effectiveness in determining dataset usage.
- The method's computationally intensive nature hints at the need for additional research to enhance practical applications in deepfake forensic investigations.
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Analyticsindiamag
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ideaForge Partners with US-Based Vantage Robotics to Expand Drone Solutions
- Mumbai-based ideaForge Technology Limited has entered into a strategic partnership with Vantage Robotics to expand their drone solutions.
- The collaboration aims to broaden ideaForge’s intelligence, surveillance, and reconnaissance (ISR) solution offerings and strengthen its presence in the North American market.
- The partnership allows the companies to target a market with a TAM of $1 billion.
- Both companies will work together to develop solutions for defence and enterprise applications, leveraging Vantage Robotics' Blue sUAS status and ideaForge's advanced software and intelligence capabilities.
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Unite
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What DeepSeek Can Teach Us About AI Cost and Efficiency
- The release of DeepSeek, a new AI model, disrupted the AI industry by only costing $6 million to train, questioning the high costs associated with training large language models.
- DeepSeek's affordability raises concerns for big players like Nvidia, TSMC, and Microsoft about the financial viability of AI in the long term.
- The disruption caused by DeepSeek highlights the importance of understanding the total cost of ownership in AI innovation, including infrastructure costs.
- Inference, not training, is where the true value of AI lies, leading to potential increases in overall AI spending as efficiency improves.
- Efforts to make AI more efficient should focus on optimizing unit economics, tracking AI-driven demand, and understanding cloud unit economics.
- DeepSeek's impact underscores the need for AI cost-effectiveness and efficiency to unlock the full potential and return on investment of AI technologies.
- Companies need to stay aware of their AI spending, unit economics, and the economic impact of AI to ensure sustainable innovation and business sense.
- The tech industry may be shifting towards greater efficiency in AI training, inference, and applications thanks to the disruption caused by DeepSeek.
- DeepSeek's low training cost of $6 million could signal a turning point towards cost-effective AI development and utilization in the tech sector.
- The focus on AI efficiency and cost-effectiveness post-DeepSeek suggests a potential transformation in how AI innovation is approached in terms of financial investments and returns.
- Efforts to increase efficiency in AI spending and maximize returns reflect a broader trend towards optimizing AI economics and realizing the true potential of AI applications.
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The Robot Report
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Hannover Messe preview looks toward solutions
- Hannover Messe 2025 is expected to have more than 130,000 attendees and 4,000 exhibitors.
- The fair will focus on three areas: AI and industry, smart manufacturing and production, and hydrogen.
- Canada is the partner country for this year's Hannover Messe, with more than 225 Canadian exhibitors expected.
- The winner of the Robotics Award was MARI AARS, an AI-driven robotics platform for fast and code-free programming.
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The Robot Report
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VDMA urges EU policymakers to boost its robotics competitiveness
- VDMA Robotics + Automation has called on EU policymakers to boost Europe's competitiveness in robotics and automation.
- The organization issued a 'Robotics Action Plan for Europe' and emphasized the need for a robotics boost, more venture capital for startups, a competition roadmap, and a focus on economies of scale.
- Europe is currently falling behind in international competitiveness, with countries like China surpassing it in robot density.
- The VDMA's recommendations aim to revamp Europe's competitiveness, safeguard its sovereignty, and successfully manage the transition to carbon neutrality.
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Shikhil Sharma, Co-Founder & CEO of Astra Security – Interview Series
- Shikhil Sharma is the Founder of Astra Security – a continuous pentesting platform, with a background in consulting various businesses, startups, and banks on cybersecurity.
- Astra Security recently secured $2.7 million funding to innovate cybersecurity with AI-Driven pentesting, aiming to bridge the gaps in traditional pentesting.
- Astra Security's approach focuses on continuous offensive pentesting, addressing the shortcomings of traditional pentesting, providing actionable insights and collaboration.
- The platform targets SMEs, offering user-friendly features, automation, and integration into CI/CD pipelines for real-time alerts and guided remediation.
- Astra's AI-driven offensive security engine scans infrastructure, simulates attacks, and provides real-time remediation to counter evolving cyber threats.
- Continuous pentesting by Astra Security ensures proactive security measures, with AI automation and expert validation reducing risk exposure for businesses.
- Astra identifies over 200,000 vulnerabilities monthly, including common issues like injection attacks and broken access controls, emphasizing the need for continuous security monitoring.
- Human security researchers at Astra collaborate with AI automation to enhance security assessments by providing contextual insights and validation.
- Astra Security scans cloud environments, APIs, and identities to detect misconfigurations and real-world attack vectors, ensuring secure scaling for modern SaaS and cloud infrastructures.
- Shikhil Sharma's bug bounty journey highlights critical vulnerability discoveries, emphasizing responsible disclosure for patching before exploitation.
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TechCrunch
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Figure’s humanoid robot takes voice orders to help around the house
- Figure, a Bay Area robotics firm, has revealed Helix, a generalist Vision-Language-Action (VLA) model for humanoid robots.
- Helix combines visual data and language prompts to control robots in real time, enabling them to perform various household tasks.
- The VLA model displays strong object generalization, allowing robots to pick up novel household items through natural language commands.
- Figure's focus on the home environment marks a shift from workplace pilots and highlights the importance of training robots for complex tasks in different settings.
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