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Robotics News
COSMOS
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Watch a 4-legged robot play badminton better than you
- Researchers in Switzerland have designed a robot companion that can play badminton with humans and maintain rallies up to 10 consecutive shots.
- The 4-legged robot is equipped with a stereo camera for vision-based perception and a dynamic arm to swing a badminton racket.
- The robot uses a reinforcement learning-based control framework to track and predict the shuttlecock's trajectory, demonstrating emergent human-like behaviors while playing badminton.
- The team aims to enhance the robot's athletic capabilities further by incorporating human pose estimation and a high-level badminton command policy based on the opponent's body movements.
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Unite
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Enhancing AI Inference: Advanced Techniques and Best Practices
- Real-time AI applications like self-driving cars require reliable GPUs and processing power, previously cost-prohibitive.
- Optimizing inference processes can maximize AI efficiency, reduce costs by up to 90%, and enhance privacy, security, and customer satisfaction.
- Common issues include underutilized GPU clusters, defaulting to large models, and lack of insight into costs.
- Energy consumption can be reduced by considering on-premises providers over cloud, as running large models consumes more power.
- Privacy concerns arise from sharing sensitive data with AI tools, increasing compliance risks.
- Customer satisfaction is crucial, as slow responses can lead to user drop-off, impacting adoption.
- By optimizing batching, model sizes, and GPU utilization, inference cost can be reduced by 60-80%.
- Optimizing model architectures through quantization, pruning, and distillation can save time and money.
- Compressing models leads to faster inference and cost-effective infrastructure usage.
- Specialized hardware like NVIDIA A100s can offer faster inference, while evaluating deployment options is crucial for cost effectiveness.
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Unite
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Laurence Sotsky, Founder and CEO of Incentify – Interview Series
- Laurence Sotsky is the CEO of Incentify, a leading platform for managing tax credits and incentives (C&I) efficiently.
- Incentify's AI-powered suite simplifies the complex process of identifying and optimizing incentive portfolios.
- Over $140 billion in unclaimed federal tax incentives and even more at state and local levels highlight the widespread issue in the C&I space.
- Industries benefiting most from Incentify's platform include labor, environmental, and capital expenditure incentives.
- Without software like Incentify, managing tax credits and incentives becomes complex due to manual processes, risking compliance failures.
- Incentify uses AI to streamline incentive discovery, interpret data, and provide tailored recommendations efficiently.
- CFOs are turning to tax credits and incentives for non-dilutive capital, aligning with corporate priorities and leveraging Incentify's technology for efficiency.
- Incentify's platform features compliance safeguards to reduce risks from audits, misfilings, or clawbacks, ensuring accountability and competitive advantage.
- Incentify's recent $9.5 million Series A funding will drive product innovation, technical velocity, sales, global data expansion, and partnerships.
- The long-term vision for Incentify is to become the operating system of the C&I economy, facilitating seamless collaboration and maximization of incentives globally.
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Unite
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How AI-Powered Image Personalization Can Help Small Businesses Get Ahead
- Personalization has become a crucial marketing practice, with Deloitte research showing its impact on revenue goals and customer loyalty.
- Advancements in AI have enabled hyper-personalization for brands, allowing them to create individualized content at scale.
- Small businesses can benefit from AI tools to enhance visual experiences and meet audience demands for personalized content.
- Generative AI tools help in creating diverse campaign content and swapping variations to appeal to different user segments.
- However, businesses must ensure AI-generated visuals are authentic to build trust with consumers.
- Not every situation may be suitable for AI image generation, especially in sensitive fields where real-life visuals are crucial.
- Small businesses should combine AI with human creativity to maintain authenticity and deepen connections with customers.
- Selecting the right AI tools is critical, considering factors like legal compliance, output quality, ease of use, rights ownership, and supporting human creatives.
- By leveraging generative AI responsibly, small businesses can enhance their marketing efforts, stay competitive, and foster genuine engagement with their target audience.
- Investing in cost-effective, user-friendly, and ethical AI solutions can help SMBs create impactful, tailored visuals and drive business growth.
- Hyper-personalization, powered by AI, has now become accessible to small businesses, offering them opportunities to excel in marketing and connect with consumers on a deeper level.
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Unite
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From Tool to Insider: The Rise of Autonomous AI Identities in Organizations
- AI has become essential in organizations, impacting various departments and strategies to enhance competitiveness and decision-making.
- Managing AI entities within organizational identity frameworks has become a critical challenge as AI adoption increases.
- Assigning roles and responsibilities to AI models akin to employees, with distinct permissions, poses new security threats like AI model poisoning and insider threats.
- Challenges arise as AI models develop unique behaviors, potentially leading to identity theft and compromised security measures.
- Strategies such as role-based AI identity management, behavioral monitoring, Zero Trust architecture, and dynamic access revocation are key in mitigating risks.
- Deploying AI identities may unintentionally enable models to learn and exploit directory systems, creating a cobra effect potentially undermining control.
- Balancing intelligence and control over AI models is crucial to maintain security posture and prevent unauthorized actions.
- Future implementations may involve limited autonomy for AI entities to enhance efficiency while minimizing security vulnerabilities.
- Predictions suggest regulatory standards governing AI deployments, especially concerning data privacy and security, would become more prevalent.
- Organizations must address these challenges proactively to ensure AI remains an asset, not a liability, in their digital ecosystems.
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The Robot Report
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Arrive AI obtains $40M for autonomous deliveries to smart mailboxes
- Arrive AI Inc. raised $40 million in funding for its autonomous delivery network focused on smart mailboxes.
- The company's last-mile platform enables secure and efficient delivery using drones, ground robots, or human couriers.
- Arrive AI combines AI and autonomous technology to facilitate smooth exchange of goods and integrates with smart home devices.
- The funding was provided by Streeterville Capital LLC, and Arrive AI debuted on Nasdaq under the ticker symbol 'ARAI.'
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Unite
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Transforming LLM Performance: How AWS’s Automated Evaluation Framework Leads the Way
- Large Language Models (LLMs) are transforming the AI domain, requiring accurate evaluations for reliability and trust.
- AWS's Automated Evaluation Framework offers automation and metrics for scalable and precise LLM assessments.
- LLMs' value spans various industries but presents challenges like hallucinations and bias in outputs.
- Traditional evaluation methods have limitations, prompting the need for advanced solutions like AWS's framework.
- AWS's framework integrates Bedrock, Lambda, SageMaker, and CloudWatch for modular evaluation pipelines.
- Key components include Bedrock Model Evaluation, LLM-as-a-Judge (LLMaaJ) Technology, and customizable metrics.
- The framework's architecture supports data preparation, scalable compute resources, and real-time monitoring.
- Evaluation engine automates testing against metrics, ensuring accurate and safe LLM outputs.
- Continuous monitoring and comprehensive metrics improve performance and ethical standards of LLMs.
- AWS's framework enhances scalability, efficiency, quality, and trust in AI deployments, with real-world applications showcasing its benefits.
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Medium
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Sparking Innovation: Teaching AI and Robotics to Rural Youth in India
- AI and robotics education can equip rural youth in India with skills needed for automation and digital services.
- Introducing AI and robotics early can foster curiosity, creativity, and problem-solving abilities among rural youth.
- Educating in regional languages with relatable examples can break language barriers and enhance learning in AI and robotics.
- Collaboration among various stakeholders is crucial to develop accessible and engaging AI and robotics curricula for rural learners in India.
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The Robot Report
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Veho and RIVR team up for wheeled, legged robot parcel delivery pilot
- Veho and RIVR have partnered for a robotic delivery pilot program in Austin, introducing legged and wheeled robots for e-commerce deliveries in the U.S.
- The robots will work alongside human couriers, aiming to enhance delivery efficiency and provide a superior delivery experience.
- The partnership between Veho and RIVR addresses the challenges of last-mile delivery in dense urban areas, with robots capable of handling stairs, porches, and uneven terrain.
- RIVR's robots are designed to complement human delivery drivers, offering a smarter, more human-centered model for robotics in logistics aimed at scaling urban robotics effectively.
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TechCrunch
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Rivr’s dog-like robots join Veho vans to solve ‘last-100-yards’ parcel delivery in Austin
- Rivr's robots are partnering with Veho vans to improve 'last-100-yards' parcel delivery in Austin.
- Rivr's four-wheeled, stair-climbing delivery robot will transport packages from vans directly to customers' doors in a pilot program.
- The partnership aims to tackle challenges in autonomous last-mile delivery, testing technologies and accumulating data for AI frameworks.
- Future plans include scaling to 100 bots by next year and thousands by 2027, with a focus on reducing driver workload and enhancing delivery efficiency.
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Pymnts
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ABB Reportedly Exploring $3.5 Billion Sale of Robotics Business
- ABB is reportedly considering a deal for its robotics unit with a possible sale or spinoff.
- The company plans to focus on more profitable areas like electrification, aiming to spin off the robotics unit next year.
- The robotics unit accounts for two-thirds of ABB's robotics and discrete automation division.
- The robotics industry is advancing, with challenges in implementing humanoid robots in household settings due to dynamic environments.
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Unite
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Jay Bavisi, Group President, EC-Council – Interview Series
- Jay Bavisi is the Co-Founder and President of EC-Council, which focuses on information security education, training, and certification to address global cyber terrorism concerns.
- EC-Council's programs include certifications like Certified Ethical Hacker (C|EH) and partnerships with organizations like ITU to enhance global information security capabilities.
- Bavisi launched EC-Council post-9/11 to address evolving security challenges in the digital world and created a global force of ethical hackers with the CEH certification.
- The rise of generative AI, notably ChatGPT, has transformed the cybersecurity landscape, requiring professionals to adapt to faster, AI-driven threats.
- CEH certification prepares professionals to combat AI-powered threats, incorporating AI simulations and over 550 attack techniques into the learning experience.
- EC-Council's training reflects the increasing role of AI in cyber threats, aiming to build a culture of security globally and continuously update learners on the latest threats.
- The organization maintains high standards by balancing research, innovation, and validation processes, ensuring that programs evolve to meet AI advancements.
- EC-Council engages in shaping global cybersecurity policy, emphasizing insights from cybersecurity professionals across 145 countries and contributing to national workforce standards.
- As AI becomes integral to cybersecurity, traditional security roles are evolving into AI security specialists, requiring professionals to understand both cybersecurity and intelligent systems.
- EC-Council supports cybersecurity innovation globally, investing in startups outside major tech hubs and providing mentorship, training, and platforms for talent recognition and innovation.
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Unite
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Building an AI-Native Workplace: Lessons from the Front Lines
- AI is revolutionizing the way companies operate, providing a new vehicle for faster progress and problem-solving.
- Embracing AI is crucial for staying competitive and accelerating processes, as shown by Cockroach Labs' experience.
- AI can significantly enhance workforce processes, like expediting curriculum development and increasing efficiency.
- Lessons learned include the importance of managing AI effectively and not relying on it for everything.
- Deploying AI involves utilizing different models, refining prompts, and testing consistently for accurate outcomes.
- Human oversight remains essential in AI-driven processes to ensure accuracy and effectiveness.
- Collaboration between humans and AI optimizes workflows, with humans focusing on review and creativity.
- Future trends suggest AI agents taking on more tasks autonomously, reducing manual work for humans.
- Incorporating AI in the workplace leads to improved processes, better outcomes, and a competitive edge over rivals.
- Businesses that leverage AI effectively will outperform those that resist adopting these transformative technologies.
- AI's compound efficiency gains can propel companies forward and distinguish them in the evolving marketplace.
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Unite
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How to Engineer AI Adoption and Value Across the Enterprise
- AI adoption in enterprises requires building trust among employees and showcasing ROI to executives for successful implementation.
- Businesses must strategically integrate AI into core processes like operations and sales while ensuring transparency and data integrity.
- Effective AI implementation leads to operational efficiency, revenue growth, and enhanced customer experiences.
- The ARC framework (Augment, Replace, Create) guides strategic AI investments, transitioning from basic tools to autonomous systems.
- Democratizing AI access can unlock economic and societal potential by making AI affordable and deployable for all employees.
- Embedding AI into everyday interactions and operations fuels innovation, enhances decision-making, and creates new job opportunities.
- For lasting value, enterprises should move towards on-premise or on-device AI processing for reduced latency and improved data security.
- AI literacy among executives is crucial for guiding organizations through AI-driven transformations and aligning AI investments with business objectives.
- Empathy, creativity, and strategic vision combined with AI understanding empower leaders to navigate regulatory complexities and foster an AI-ready workforce.
- AI is a fundamental shift in business operations, and its wise adoption can drive tangible business value, growth, agility, and customer satisfaction.
- Successful AI adoption requires focusing on embedding AI into strategic decision-making and operational processes for long-term success.
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Unite
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Why Most Investment in AI Will Underdeliver or Fail
- 80% of AI projects are predicted to fail due to businesses not adequately preparing for technological change despite planning to spend over $25 million on AI.
- Failures are often attributed to prioritizing technology over business goals, leading to unclear objectives and poor data quality.
- It is crucial for organizations to identify specific business problems AI solutions aim to solve before technical implementation begins.
- Business strategy should precede technology implementation to drive measurable outcomes like cost reduction and revenue increase.
- Overambitious AI implementations often lead to failure, and businesses should start small and scale strategically for better results.
- The 'zone to win' framework helps balance current operations with future innovation, facilitating successful AI integration without disruption.
- Lack of user adoption is a significant issue in AI implementation, highlighting the importance of change management and proper user training.
- Operationalizing AI tools into workflows and ensuring mainstream adoption are critical for successful integration and maximizing AI potential.
- Change management initiatives with designated leadership teams are essential to address training gaps and encourage user acceptance of AI technologies.
- Successful AI investments require upgrading change management, implementing initiatives gradually, and using measurable KPIs to ensure profitable outcomes.
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