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Nvidia
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Image Credit: Nvidia
Give AI a Look: Any Industry Can Now Search and Summarize Vast Volumes of Visual Data
- NVIDIA has released an AI Blueprint for video summarisation to enable companies to develop their own visual AI agents to analyse image and video data for various use cases.
- NVIDIA's AI Blueprint harnesses Vision Language Models, which are a class of generative AI models that combine computer vision and language understanding.
- The software enables customisation of virtual assistants across industries, and offers a full suite of optimised software for building and deploying generative AI-powered agents that can ingest and understand massive volumes of live video streams or data archives.
- Accenture and Dell Technologies will be among companies using the NVIDIA AI Blueprint for visual search and summarisation to build virtual AI agents that can assist with productivity and safety in factories, warehouses, shops, airports, traffic intersections and other places.
- The NVIDIA AI Blueprint for video search and summarisation can be configured with NVIDIA NIM microservices for VLMs and AI models.
- Adopting NVIDIA’s blueprint could save developers months of investigation and optimisation of AI models for smart city applications.
- Deployed on NVIDIA GPUs, the process of combing through video archives to identify key moments can be accelerated.
- Visual AI agents could also be used to aid customers with visual impairments, generate recaps of sporting events or label visual datasets to train other AI models.
- The NVIDIA AI Blueprint may also be used to identify traffic collisions or generate reports to aid emergency response efforts.
- The latest blueprint joins a collection of NVIDIA AI Blueprints that make it easy to create AI-powered digital avatars, build virtual assistants for personalised customer service or extract enterprise insights from PDF data.
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Unite
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Image Credit: Unite
How AI is Shaping the Future of Democratic Dialogue
- Recent advances in artificial intelligence have brought new possibilities for technology to assist in facilitating complex dialogues on divisive topics, such as climate change, immigration, and economic policy.
- The Habermas Machine is an AI tool designed to analyze individual opinions and create a unified group statement.
- AI mediated discussions led participants to shift toward shared views, which could be a valuable tool for dealing with complex and divisive issues.
- Both participants and independent judges rated AI-generated statements more favorably than those produced by human mediators, finding them more precise, informative, and fairer.
- The inclusion of dissenting viewpoints helped prevent misunderstandings and encouraged balanced discussions.
- Real-world applications of AI in deliberative democracy could enhance policy discussions, conflict resolution, contract negotiations, and citizens' assemblies.
- AI mediation has notable limitations since AI models lack fact-checking capabilities and require careful design to avoid harmful or unproductive discourse.
- The ethical role of AI in democratic processes is also crucial, requiring ongoing oversight and a clear ethical framework to guarantee AI is used in ways that respect democratic values.
- If developed responsibly, AI has the potential to transform democratic dialogue and facilitate collective understanding of complex issues, making the deliberation process more accessible and inclusive for diverse groups.
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Unite
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Image Credit: Unite
Artem Rodichevm CEO & Founder of Ex-human – Interview Series
- Artem Rodichev is the Founder and CEO of Ex-human, a company focused on building empathetic AI characters for engaging conversations.
- Rodichev had previously been the Head of AI at Replika from 2017 to 2021.
- Ex-human aims to develop AI technology that not only provides companionship but also powers innovative experiences for businesses and consumers alike.
- The goal is to make users feel understood and heard, and the AI characters are designed to foster authentic interactions.
- Ex-human collects an enormous amount of real-world interaction data from their B2C platform botify.ai to fine-tune their AI models to be more responsive and empathetic.
- To ensure data privacy and ethical AI practices, Ex-human anonymizes data before it’s used for any training or analysis.
- Ex-human avatars have higher levels of user engagement than platforms like Instagram because of their emotional responsiveness and high level of customization and personalization.
- Ex-human partners with businesses like Grindr to offer more personalized and engaging user experiences.
- Ex-human is able to offer something far more immersive and personalized compared to traditional marketing methods.
- AI avatars and digital humans have the potential to transform industries like healthcare, customer service, and entertainment.
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Unite
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Image Credit: Unite
Artem Rodichev CEO & Founder of Ex-human – Interview Series
- Artem Rodichev is the Founder and CEO of Ex-human, a company focused on building empathetic AI characters for engaging conversations.
- Ex-human aims to develop AI technology that not only provides companionship but also powers innovative experiences for businesses and consumers alike.
- Ex-human's AI avatars are designed to be empathetic and responsive by training models on millions of open-domain conversations to learn how to engage in a way that feels natural and emotionally aware.
- The data collected from Ex-human's B2C platform botify.ai influences the training and development of AI models to be more responsive and empathetic.
- Ex-human ensures data privacy and ethical AI practices by anonymizing user data and having strict data handling protocols in place to prevent unintended biases from appearing in the interactions.
- Ex-human's avatars achieve significantly higher user engagement than platforms like Instagram by providing emotional responsiveness, customization and personalization options, and multimodal interactions to immerse users in a narrative that adapts and grows with them.
- Businesses benefit from integrating Ex-human's AI by offering personalized and engaging user experiences, improving user engagement and retention.
- AI-driven engagement sets Ex-human apart from traditional marketing methods by providing immersive continuous experiences with deeper engagement over time.
- AI avatars and digital humans have the potential to transform industries like customer service, healthcare, and entertainment by handling routine queries more efficiently, assisting with mental health support, and creating entirely new types of interactive content.
- A key lesson from Artem Rodichev's transition from Head of AI at Replika to founding and scaling his own company is the shift from a hands-on, technical mindset to one that involves constantly switching between different roles and responsibilities.
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Unite
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Image Credit: Unite
Fighting Against AI-Enabled Attacks – The Proper Defensive Strategy
- Organizations must learn how to prevent and defend against AI-enabled threats.
- AI can be used as a defensive shield but employees need to know how to use it.
- The defensive strategies of an organization should not be fully centered on AI.
- Cybersecurity professionals with experience in dealing with simulated attacks are best equipped to mount an effective defense.
- Continuous learning and upskilling can help organizations deal with more sophisticated threats.
- Traditional security roles may not be enough to successfully defend against AI-powered cyberattacks.
- Organizations must be aware of the capabilities of malicious actors and how malware developers leverage AI tools to launch attacks.
- Incident response planning ensures that an organization is prepared to detect, respond to and recover from a cyberattack.
- It is important to trace an attack's origin to take preventative steps against future incidents.
- Organizations must upskill their workforce to succeed in protecting critical assets, ensuring business continuity and mitigating risk.
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Unite
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401
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New Research Finds Sixteen Major Problems With RAG Systems, Including Perplexity
- A new study from Pennsylvania State University and Salesforce has found 16 major problems with popular Retrieval Augmented Generation (RAG) systems, including You Chat, Bing Copilot, and Perplexity.
- The study featured 21 expert voices and found that the RAG systems fall short of marketing hype and produce generic summaries with scant contextual depth or nuance.
- The researchers identified issues such as reinforcing perceived user bias, omitting citations that support statements, and using unreliable sources.
- RAG systems were also found to promote simplistic language and a lack of critical thinking, misattributing and mis-citing sources, and picking information from inferred context.
- The authors suggest that users exercise caution when using RAG systems, and that greater technical oversight is needed, as well as legislation to enforce governmental policy on agent-aided AI search interfaces.
- The study was conducted with PhD candidates and post-doctoral researchers who interacted with the tested RAG systems to clarify their own rational schema.
- Examples of further findings in the study include the lack of objective detail, one-sided answers to questions, and overly confident language in subjective responses.
- The study suggests that Perplexity generates the most frequently one-sided answers, with You Chat being the only RAG framework to achieve zero uncited sources for an answer.
- All tested systems have difficulty in supporting their statements with citations and none of the engines achieve good performance on a majority of the metrics.
- The authors propose new metrics based on the shortcomings found in the study for greater technical oversight in the future.
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The Robot Report
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Image Credit: The Robot Report
Interact Analysis identifies opportunities for motion control and robotics
- Global machinery industry sales have been impacted by high interest rates, elevated inventory, and sluggish demand making it a tough year for the industry overall.
- Despite this, innovative technologies continue to create new opportunities for Motion Control (MC), attracting new entrants to the market through product launches or partnerships.
- Interact Analysis has identified 2 new growth areas through their research and conversations with manufacturers- smart conveyance technology and robots with machine-integrated control.
- Smart conveyance technology is available as either planar or linear systems.
- The market for linear systems has surged over the past 3 years, with sales revenue growing from $237 million in 2020 to $488 million in 2023.
- By 2029, sales of linear systems could exceed $1.1 billion, nearly five times the market size in 2020, according to Interact Analysis.
- The term machine-integrated robots refers to robots that are fully integrated into machine control platforms.
- The shortage of experienced engineers is one of the major drivers of growth for the machine-integrated robot market.
- The surging smart conveyance market and the emergence of machine-integrated robots offer new opportunities to MC suppliers.
- Driven by the trends of digitalization, flexibility, and ease of use in the manufacturing industry, both technologies are expected to increase their penetration in the machinery industry.
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Medium
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Image Credit: Medium
Robots finally can feel and touch (meta AI, sparsh)
- Meta AI's project Sparsh aims to enable robots to feel and touch.
- Sparsh uses SSL methods like DINO and JEPA instead of labeled data.
- The TacBench benchmark helps test Sparsh on tactile tasks to ensure its real-world performance.
- The challenge lies in the dependency of tactile sensing tech on vision-based sensors and the need for careful calibration and maintenance of SSL models.
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Unite
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301
Image Credit: Unite
Anthropic Launches Visual PDF Analysis in Latest Claude AI Update
- Anthropic has introduced new PDF support capabilities for its Claude 3.5 Sonnet model.
- The integration bridges the gap between traditional document formats and AI analysis.
- The system employs a three-phase processing methodology: text extraction, visual processing, and integrated analysis.
- The PDF processing feature is accessible through Claude Chat feature preview and API access.
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The Robot Report
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Image Credit: The Robot Report
GelSight, Meta AI release Digit 360 tactile sensor for robotic fingers
- GelSight and Meta AI have released Digit 360, a tactile sensor for robotic fingers.
- Digit 360 uses GelSight's tactile sensing technology for high sensitivity and micron-level resolution.
- It is equipped with more than 18 sensing features, enabling advancements in touch perception research.
- The sensor has potential applications in robotics, medicine, prosthetics, virtual reality, and more.
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Medium
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Image Credit: Medium
From Surge to Sobriety: The State of Robotics Investment in 2024
- The robotics sector has seen an increase in investment activity in 2024, approaching all-time highs seen in 2021.
- Investment in humanoids has significantly increased, with close to $1B invested in this category.
- Autonomous vehicle investment has rebounded, fueled by corporate mega rounds and legislative milestones.
- The software layer in robotics, particularly foundational models, has garnered significant interest, though challenges remain.
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Medium
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State of Robotics in 2024: The Rise of Vertical Robotics
- The robotics industry is experiencing a shift from autonomous vehicles (AV) to vertical robotics companies.
- Funding for AV companies has decreased, leading to a drop in venture capital investment in the robotics industry.
- Vertical robotics companies, focusing on industrial use cases, have attracted talented founders and investment capital.
- Despite the decline in funding, early-stage investment in robotics remains strong, fueled by advancements in AI and falling hardware costs.
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Medium
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5 Lessons Robotics Founders Can Learn From the AV Industry
- Robotics has seen investments worth $60bn over the course of five years, with the AV industry leading the way, offering drew excitement even from seasoned investors like Sequoia and Andreessen Horowitz.
- Commercial success is measured differently from a successful pilot. Robotics founders must demonstrate production deployments and measurable ROI to investors.
- Instead of going after the largest, most complicated problem like autonomous passenger cars, robotics founders today should focus on use cases with real value.
- Incumbents can accelerate momentum in investment and help overcome investor reluctance on a still-unproven use case. Startups able to disrupt legacy business models will attract investment dollars.
- Robotics is becoming more competitive, only startups with the strongest case can survive early investment rounds and attract later stage dollars from customers and acquirers.
- AV unicorns like Aurora are disrupting the trucking industry, while Locus and RightHand Robotics are transforming how fulfillment operations are done.
- Startups must have attractive unit economics associated with their offerings with more than 70% gross margin after subtracting BOM and support costs from lifetime revenues.
- Identifying use cases where TAM is still significant is the sweet spot for a VC-backed robotics business.
- Many companies are now pursuing use cases in constrained operating environments with greater fault tolerance, often with a human-in-the-loop element, which creates more technical feasibility.
- Technological acceleration, labour shortages, stagnant productivity gains and investors' interests in the category are amongst the factors that work in favour of today's robotics founders.
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VentureBeat
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Meta unveils AI tools to give robots a human touch in physical world
- Meta has released 3 AI research artifacts including Sparsh, Digit 360 and Digit Plexus to help robots have a human touch in physical world. Sparsh provides robots with touch perception, Digit 360 is an artificial finger-shaped tactile sensor and Digit Plexus aims to facilitate the development of robotic applications. Meta is also releasing PARTNR a new benchmark evaluating planning and reasoning in human-robot collaboration. Meta's Sparsh can be applied to different types of vision-based tactile sensors and various tasks and it uses self-supervised learning, which obviates the need for labeled data. Digit 360 has on-device AI models to reduce reliance on cloud-based servers and it captures various sensing modalities to provide a richer understanding of the environment and objects interactions.
- Digit Plexus can integrate various fingertip and skin tactile sensors onto a single robot hand, encode the tactile data collected from the sensors and transmit them to a host computer through a single cable.
- PARTNR includes 100,000 natural language tasks in 60 houses and involves more than 5,800 unique objects. It is designed to evaluate the performance of LLMs and VLMs in following instructions from humans and is built on top of Habitat, Meta's simulated environment.
- Meta will be manufacturing Digit 360 in partnership with tactile sensor manufacturer GelSight Inc. They will also partner with South Korean robotics company Wonik Robotics to develop a fully integrated robotic hand with tactile sensors on the Digit Plexus platform.
- Meta's Sparsh gains an average 95.1% improvement over task- and sensor-specific end-to-end models under a limited labeled data budget as it overcomes the challenges faced by previous generations of touch perception models.
- Sparsh is created to train robots with touch perception capabilities such as determining how much pressure can be applied to a certain object to avoid damaging it.
- Meta is publicly releasing the code and designs for Digit 360 to stimulate community-driven research and innovation in touch perception.
- Digit 360 also has potential applications, such as from medicine and prosthetics to virtual reality and telepresence, are significant as it reduces the reliance on cloud-based servers.
- Meta's new benchmark, PARTNR, joins a growing number of projects exploring the use of LLMs and VLMs in robotics and embodied AI settings.
- Foundation models, such as large language models and vision-language models provide renewed hope in the industry that robots can accomplish more complex tasks that require reasoning and planning.
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The Robot Report
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Image Credit: The Robot Report
New Atlas video; Climbing to new heights in warehouse automation with BionicHive
- The Robot Report Podcast episode 170 features an interview with Gili Ovadia, VP of Business Development at BionicHive, discussing their warehouse automation solution, the Squid mobile robot that drives along the floor of the warehouse, and climbs into the warehouse racking to put or get boxes/totes from storage locations on higher shelves.
- Locus Robotics Corp. announces that its autonomous mobile robots have assisted in 4 billion picks across its customer deployments worldwide.
- China launches a data-sharing initiative for domestic humanoid companies to accelerate innovation from the National Local Joint Humanoid Robot Innovation Center and various Chinese humanoid companies.
- Bear Robotics Inc. expands to logistics with the Carti 100 robot for material handling tasks in warehouses and distribution centers to handle the complex demands of factories and warehouses, supporting up to 220 lbs (99.79 kg).
- The 2025 RBR50 Robotics Innovation Awards are now open for submissions, celebrating robotics innovation in calendar year 2024, and is open to any company worldwide that produces robotics or automation solutions.
- Boston Dynamics releases new video showing Atlas electric humanoid moving automotive parts from one storage bin to another bin, and the unique aspects of this video and how Atlas appears to move differently from the other competitive humanoid robots in recent demonstration videos.
- The Robot Report Podcast episode 170 hosted by Steve Crowe and Mike Oitzman features discussions about the latest robotics industry news and updates, emerging technologies, and interviews with industry experts.
- RGO Robotics sponsors The Robot Report's podcast featuring their Perception Engine, revolutionizing the AMR business through advanced Vision AI perception technology, enabling AMRs to adapt to changing environments and navigate complex spaces with unprecedented accuracy.
- BionicHive's Squid mobile robot is a unique warehouse automation solution that can climb into the warehouse racking to put or get boxes/totes from storage locations on higher shelves, and their VP of Business Development, Gili Ovadia, discusses the system works and where BionicHive is deploying these automated storage solutions.
- Bear Robotics unveils the Carti 100 for material handling tasks in warehouses and distribution centers, supporting up to 220 lbs (99.79 kg), and includes adjustable shelves, smart conveyor belts, and advanced lighting to meet operational needs.
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