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Moshe Tanach, CEO and Co-Founder at NeuReality – Interview Series
- Moshe Tanach is the CEO & co-founder of NeuReality, which makes AI affordable and accessible by identifying pain points and providing purpose-built, silicon-to-software AI inference solutions.
- They broke away from big tech giants and disrupted the processor market to develop a better AI architecture that is CPU-free and open, agnostic, and purpose-built for AI inference.
- NeuReality simplifies AI infrastructure deployment, management, and scalability, and enhances business processes and profitability while advancing key sectors such as healthcare, law enforcement, and customer service.
- At Supercomputing 2024, NeuReality will demonstrate an NR1-S Appliance that delivers exceptional efficiency, energy savings up to 15X and cost savings up to 90%, and linear scalability without performance drop-offs.
- NR1 is based on the Programmable Graph Execution Accelerator that simplifies AI model deployment by leading to significant performance gains, while NR1 NAPU is a 7nm SoC offering direct network access for AI pre- and post-processing.
- The patented NR1 AI-Hypervisor optimizes AI task orchestration and resource utilization, and the NR1 AI-over-Fabric Network Engine ensures seamless network connectivity and efficient scaling.
- With NR1, NeuReality's solution is open, accelerator-agnostic, and unlocks AI accelerators to benchmark performance, with an open ecosystem that integrates with any AI inference chip and popular software frameworks.
- Their long-term vision is to make advanced AI affordable and accessible to all, and an open, efficient ecosystem that collaborates with partners to validate their technology across various AI workloads and delivers “inference-as-a-service” and “LLM-as-a-service” through cloud service providers, hyper scalers, and chip makers.
- They enable businesses to overcome the cost and complexity challenges of building and scaling AI systems, and by optimizing the efficiency and performance of any GPU or AI accelerator, they aim to contribute to a win for profit margins, people, and the planet.
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ANELLO Photonics secures funding for inertial navigation in GPS-denied environments
- Silicon photonics specialist ANELLO Photonics has completed its Series B funding round for its SiPhOG inertial navigation system, designed for compact, GPS-denied environments. The technology can operate across land, sea and air with position accuracy of around 10 centimetres. ANELLO secured investments from Lockheed Martin, Catapult Ventures, One Madison Group, New Legacy, Build Collective, Trousdale Ventures, In-Q-Tel, K2 Access Fund, Purdue Strategic Ventures, Santuri Ventures, Handshake Ventures, Irongate Capital and Mana Ventures.
- The Santa Clara, California company was founded in 2018, and its SiPhOG - Silicon Photonics Optical Gyroscope - is based on integrated photonic system-on-chip (SoC) technology. The company has more than 28 patents and 44 more pending, and its technologies also include a sensor-fusion engine using artificial intelligence.
- SiPhOG is used with the Global Navigation Satellite System (GNSS) and is suitable for autonomous vehicles, drones and mobile robots. It weighs 20 grams, measures 5.5cm by 2.4cm and uses a 3.3-volt power supply.
- VC investors have reportedly said car makers are installing six separate lidar systems on a vehicle, at $10,000 apiece. ANELLO's optical technology offers navigation across long distances and is scalable, according to the company. SiPhOG is built to work across land, air and sea. New applications include orchards and indoor robots working in construction.
- As well as inertial navigation, the company is developing 3D sensing and ranging, velocimetry and biomedical sensing applications for SiPhOG.
- The device is typically integrated with accelerometers, magnetometers, and triple-redundancy MEMS gyroscopes.
- Co-founder and CEO Dr Mario Paniccia said: "We have self-alignment correction, and within 15 minutes, you can have GPS-denied navigation capability."
- "Every week, there’s an article about a commercial flight or defense-related mission getting GPS jammed, like thousands of flights to and from Europe affected by suspected Russian jamming," said investor Tony Fadell. ANELLO has worked with the US Department of Defense on optimising its algorithms against jamming or spoofing.
- The post ANELLO Photonics secures funding for inertial navigation in GPS-denied environments appeared first on The Robot Report.
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Unite
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Enfabrica Secures $115M Series C Funding and Announces Availability of World’s Fastest GPU Networking Chip
- Enfabrica Corporation has raised $115m in Series C funding, led by Spark Capital, to take artificial intelligence (AI) infrastructure to the next level.
- In addition, Enfabrica announced the launch of the Accelerated Compute Fabric (ACF) SuperNIC chip, potentially the industry's first networking card that can process 3.2 terabits per second.
- Enfabrica plans to use the funds to ramp up production of the chip and expand its R&D capability.
- The ACF SuperNIC provides a software-defined networking system, giving data centre operators full-stack control and programmability over their infrastructure.
- Enfabrica's investors include Atreides Management, Alumni Ventures, Liberty Global Ventures, Sutter Hill Ventures, and Valor Equity Partners.
- The chip's design allows data centres to scale up to 500,000 graphic processing units while maintaining low latency and optimised performance.
- It provides an 800-Gigabit Ethernet connectivity for multi-port and multipath resiliency, establishing Enfabrica as a leading innovator in scalable AI networking solutions.
- Enfabrica's funding comes during a period of rapid investor interest, following a successful Series B funding round of $125m in September 2023.
- Enfabrica's ACF SuperNIC chip is available in Q1 of 2025 and will partner with OEM and ODM systems for full-scale commercial availability later that year.
- Through this breakthrough technology, Enfabrica is anticipating improving the efficiency, resiliency and scalability of AI clusters globally.
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The Robot Report
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Nuro Driver expands Level 4 autonomous deliveries in California and Texas
- Nuro Inc. expands its driverless capabilities using zero-occupant vehicles with the AI-powered Nuro Driver system.
- The expansion covers multiple cities in California and Texas and includes operational advancements.
- Nuro plans to increase deployment areas in Mountain View, Palo Alto, and Houston.
- Nuro's expanded operational design domain demonstrates the growing sophistication and reliability of its autonomous vehicles.
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Exploring fungal intelligence with biohybrid robots powered by Arduino
- Cornell University researchers have created biohybrid robots that are powered by fungal mycelia.
- The robots move based on electrical signals generated by fungi, expanding the possibilities in the field of biohybrid robotics.
- The team used Arduino platform as the main interface to control the robots, enabling seamless prototyping and experimentation.
- This research opens up potential applications in various fields, from environmental sensing to pollution monitoring.
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The ABB Edge: Using AI and robotics to transform industries
- ABB is using AI and robotics to transform industries, making robotics easier to program and deploy.
- Schaeffler plans to use Agility Robotics' humanoid robot Digit in its global operations.
- Waymo expands its robotaxi service in Los Angeles, removing the waitlist and gaining valuable feedback from rides.
- General Motors' self-driving car unit, Cruise, will pay a $500k fine for submitting a false report.
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The Robot Report
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ZettaScale designs Zenoh to transcend DDS for automotive, ROS communications
- U.K.-based ZettaScale Technology has developed Zenoh protocol for wireless data communications, as the standard DDS middleware is not suited for wireless environments and puts limits on communications and scalability.
- Zenoh manages data in motion and at rest, distributes storage for efficient fleet management and removes topological constraints on where to deploy computation, enabling operation over arbitrary meshes at internet scale.
- Zenoh is useful in the automotive and robotics sectors, according to Angelo Corsaro, chief technology officer and CEO of ZettaScale. Zenoh has been adopted in General Motors’ uProtocol initiative and there are cars in Asia running on ROS 2.
- Early adopters of Zenoh include major automakers such as Volvo and smart-city companies.
- The new release of Eclipse Zenoh 1.0.0 builds on years of work and adds support for shared memory, end-to-end protection, high-performance access control and extensions for robotics and automotive protocols.
- ZettaScale is working with partners across Japan, Europe and the US.
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Unite
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The Tension Between Microsoft and OpenAI: What It Means for the Future of AI
- Microsoft's partnership with OpenAI is becoming increasingly complicated as both companies pursue different goals. OpenAI's growing need for additional funding and computing power has led to questions about Microsoft's role and potential stake in a more profitable, future version of OpenAI.
- Microsoft recognized early on the potential of OpenAI's models, like GPT-2 and DALL-E, to redefine business applications on a large scale. Balancing profitability with Microsoft's expectations can be challenging.
- The launch of SearchGPT has intensified this tension as it puts OpenAI and Microsoft in direct competition. This move also highlights a growing divide with Microsoft.
- The partnership between Microsoft and OpenAI brings together two different approaches: Microsoft favours proprietary systems, while OpenAI is moving toward open-source models.
- As OpenAI continues to expand its open-source offerings, developers and companies can access similar AI tools outside Microsoft's Azure ecosystem, potentially lessening the exclusivity Microsoft gains through its partnership.
- The changing relationship between Microsoft and OpenAI could influence the future direction of the entire AI industry, impacting businesses, developers, and users alike.
- Microsoft and OpenAI's next moves are likely to shape the future of AI, influencing how we interact with and benefit from this powerful technology.
- The decision will impact the AI industry significantly, shaping how businesses and developers interact with AI tools in the future.
- Finding the right balance between these open and closed approaches will be essential as the partnership evolves, combining OpenAI's fast-moving, collaborative model with Microsoft's secure, business-focused solutions.
- How Microsoft and OpenAI navigate these priorities could set important precedents for future AI collaborations as the industry watches how they balance transparency with commercial interests.
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Unite
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Matthew Ikle, Chief Science Officer at SingularityNet – Interview Series
- Matthew Ikle is the Chief Science Officer at SingularityNET.
- SingularityNET has a mission of creating a decentralized, inclusive artificial general intelligence (AGI) that is not dependent on a central entity.
- The biggest hurdles in achieving AGI include answering scientific questions surrounding life, mind, and intelligence and implementing solutions to these questions.
- Spatiotemporal alignment of emergent phenomena across multiple scales from the extraordinary small to the inordinately large is key to AGI development in alignment with human values.
- Blockchain has a role in AI control, security, and governance.
- The intersection of AI and blockchain require transparency, decentralization, consensus and values alignment for positive collaboration.
- AI and blockchain can be harnessed to aid in diversity and inclusion efforts through self-reflection processes.
- SingularityNET contributes to solving global challenges such as sustainability, education, and job creation in Africa.
- Interdisciplinary knowledge, hybrid courses and hands-on project-based learning are necessary objectives within apprenticeship to mastery-style programs.
- Transparency at all stages and decentralized decision-making based on consensus building are essential to ensure AGI developments benefit society.
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Robotsblog
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How Autonomous Construction Robots Are Changing the Landscape of Jobsites
- Autonomous robots are stepping up to handle critical jobs in the construction industry — from site inspections to heavy lifting — helping jobsites become safer, more efficient and efficient.
- Drones can handle aerial inspections, create detailed site maps, and monitor progress with remarkable accuracy and speed. Meanwhile, specialized robots enhance bricklaying into a faster, more precise process.
- From foundational work to finishing touches, construction robots‘ capabilities are expanding rapidly, reshaping the industry and setting new speed, safety, and efficiency standards on modern jobsites.
- The rise of robotics in construction transforms job roles, shifting the focus from hands-on labor to more specialized oversight and technical maintenance.
- Robots benefit construction projects, especially regarding efficiency, precision, and safety. Automation makes construction sites safer by taking over repetitive and physically taxing tasks and creating a safer work environment.
- Experts predict the global market for robotics in construction could exceed $242 million by 2030, providing a tangible glimpse into the automation-led revolution in building.
- Emerging tools like AI integration and enhanced sensors are expected to bring new levels of functionality to robots, allowing them to analyze data, adapt to changing environments and make intelligent decisions to boost precision and productivity on jobsites.
- While robots bring tremendous benefits to construction sites, they open up new roles for workers in areas like oversight, programming and maintenance. However, these advancements come with challenges, which require workers to adapt to a tech-driven environment and develop specialized skills to thrive alongside automation.
- The combination of advanced technology and skilled labor on the jobsite paves the way for more ambitious projects and a more streamlined building process.
- This collaboration between robots and humans helps build a smarter, safer workforce, where machines tackle repetitive, high-risk jobs to support human decision-making, creativity and complex problem-solving.
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Unite
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Is AI Making Jobs Harder? Not for Hourly Workers
- Generative Artificial Intelligence (GenAI) is a special type of AI that generates an output, typically an image or text, based on learned potential.
- Most of the recent conversation around AI in the workplace refers to GenAI, which is already reshaping the way employees engage with technology and each other.
- A recent study from Upwork found that 77% of employees say AI tools have only added to their workload.
- Another study from Section AI reported that 87% of workers who use AI daily save as much as 12 hours per week.
- Hours workers can benefit from AI as it can greatly reduce tedious and administrative tasks, improving productivity and job satisfaction.
- Workforce Management (WFM) with AI at its core leverages machine learning to accurately predict labor requirements, improving labor efficiency, and reducing employee stress.
- Generative AI interfaces can automate WFM tasks like scheduling through conversational interactions, saving managers time and allowing them to accommodate employee requests more quickly.
- Managers should be educated and trained on AI so they can become AI ambassadors in the workplace, helping their teams unlock the powerful advantages of these technologies.
- Leaders should focus on ensuring employees are well-equipped to adopt GenAI, so employees don't feel that AI is adding to their workload.
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The Robot Report
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RBR50 Spotlight: Robotic ventricle advances understanding of heart disease
- MIT engineers have developed a robotic replica of the heart's right ventricle.
- The robotic right ventricle (RRV) combines real heart tissue with synthetic, balloon-like artificial muscles.
- It allows scientists to study and test cardiac devices, providing insights into heart conditions.
- The RRV represents a significant advancement in understanding and treating heart disease.
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Medium
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Breaking Ground in Robotics: DEEP Robotics Unveils the High-Speed Lynx Robo-Dog!
- DEEP Robotics has unveiled the High-Speed Lynx Robo-Dog, setting a new benchmark in robot automation.
- Lynx integrates the adaptability of legged robots with the speed advantages of wheeled systems, making it versatile for various applications.
- Its capabilities in search and rescue, mapping, inspection, and logistics make it invaluable in different industries.
- DEEP Robotics continues to push the boundaries of robot advancements with Lynx, showcasing the potential for autonomous navigation robots to revolutionize industries.
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Knightscope Robots Revolutionize Security with Verizon 5G Partnership
- California-based Knightscope is revolutionizing public safety with its autonomous robots.
- The Knightscope robots, connected through Verizon, provide real-time intelligence in challenging environments.
- Equipped with advanced features and sensors, the robots detect unusual activities and enhance public safety.
- The partnership with Verizon's Frontline service and future incorporation of 5G connectivity will further enhance the robots' capabilities.
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From Jeff Bezos to Mark Zuckerberg, here are the billionaires investing in robots
- Amazon founder Jeff Bezos recently invested in a robotics startup called Physical Intelligence. The startup aims to develop software that allows robots to perform tasks like folding laundry and bagging groceries.
- Elon Musk has been working on the Optimus humanoid robot. Tesla plans to have humanoid robots in low production for internal use by 2025 and for sale to other companies by 2026.
- Microsoft co-founder Bill Gates has invested in Opentrons, a robotics startup focusing on the healthcare industry.
- A number of other billionaire investors have also backed robotics companies, including Vinod Khosla, Mark Zuckerberg, Dustin Moskovitz, and Peter Thiel.
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