AIRS Medical, a pioneering force in artificial intelligence (AI) and robotics for healthcare applications, today announced the completion of its Series C funding round, securing $20 million from seven institutional investors in Korea. The investment, led by BSK Investment and Shinyoung Securities, underscores confidence not only in the company’s flagship product, SwiftMR, but also in its larger mission to revolutionize preventive healthcare through technology innovation.

Also Read: Skild AI Raises $300M Series A To Build A Scalable AI Foundation Model For Robotics

Transforming MRI

SwiftMR™ uses deep learning technology to enhance magnetic resonance imaging (MRI) scan speeds by as much as 50% compared to the standard of care.* On average, radiology centers and hospitals that integrate SwiftMR achieve a 38% increase in patient throughput and a 22% reduction in business hours, leading to $44,000 per month in additional revenue and an $8,000 reduction in monthly operating costs.

SwiftMR™ is a scan time reduction solution with whole pulse-sequence coverage and true super resolution. This cutting-edge technology has set the standard in diagnostic imaging, helping to address critical roadblocks radiology centers and hospitals face, such as long patient wait times and the downstream effects of delayed diagnoses.

Improving patient outcomes

A frequent problem in healthcare is the delayed diagnosis of patients, often after symptoms have advanced. This, along with resource shortages, results in worse outcomes.

AIRS Medical is paving the way to detect diseases proactively, before they manifest. Through AI and robotics, AIRS Medical is democratizing the best diagnostics and prognostics, reducing costs and increasing the accessibility of MRI scans. Ultimately, this empowers patients with conditions such as dementia, stroke, and cancer to receive early diagnoses and improve their chances of better health.

Also Read: Deloitte Launches an AI and Data Accelerator Program With AWS, Aimed at Scaling the Next Generation of Artificial Intelligence Capabilities

Expanding access to care

In its quest to deliver the highest-quality preventive care to all, AIRS Medical is rapidly expanding. Backed by a talented team, SwiftMR was initially launched in Korea in 2021. By 2023, the technology had successfully entered the United States and Europe, markets that now account for over half of the company’s annual recurring revenue (ARR).

“We’re thrilled to receive this substantial support from our investors,” said Hyeseong Lee, CEO of AIRS Medical. “This funding will empower us to increase access to preventive healthcare services and create a healthier future for people around the globe.”

Building a better future

With this latest round of funding, AIRS Medical is poised to accelerate its growth and innovate beyond the award-winning SwiftMR. The company plans to expand its presence in international markets, invest in research and development, and ultimately improve patient outcomes worldwide.

Also Read: Dean Brenner Joins Aira’s Board of Advisors to Accelerate AI-Driven RAN Modernization

[To share your insights with us as part of editorial or sponsored content, please write to psen@itechseries.com]

The post AIRS Medical Secures $20 Million in Series C Funding to Advance AI-Powered Preventive Healthcare Solutions appeared first on AiThority.

• Cumulative funding reaches approximately $42.6 million since inception, solidifying Nota AI’s position as Korea’s leading on-device AI innovator

• IPO preparations for 2025 are underway with strong backing from lead underwriter

• Participation from global AI semiconductor CVC and major AI semiconductor company as strategic investors

Nota AI, a leading South Korean startup specializing in AI optimization and lightweighting technology, has successfully raised $19.9 million (25.8 billion KRW) in its Series C funding round. This brings the total investment raised since its founding to approximately $42.6 million (53.2 billion KRW). The round was led by STIC Ventures and LB Investment, with new investments from STIC Ventures, Korea Development Bank, and Mirae Asset Securities. Existing investors Stonebridge Ventures, LB Investment, InterVest, and DS Investment Partners also contributed additional funds, alongside a key AI semiconductor CVC participating as a strategic investor.

AiThority.com Latest News: Empowering Clients and Enhancing Operations: Protiviti’s Innovative AI Tools

Founded in 2015, Nota AI specializes in edge and on-device generative AI technology. Early recognition of its potential came with initial investments from Naver D2SF. Since then, Nota AI has rapidly expanded its customer base both domestically and internationally, securing continuous investments from Stonebridge Ventures and LB Investment.

Leveraging this new funding, Nota AI plans to actively recruit top AI optimization talent and enhance collaborations with global AI semiconductor companies to expand its business. Nota AI is already engaged in significant contracts to provide generative AI optimization technology to leading AI semiconductor firms.

Looking ahead, Nota AI aims to extend its high-performance generative AI model optimization technology to various industries such as robotics and mobility, allowing broader applications of generative AI in daily life. Additionally, Nota AI plans to strengthen AI optimization technology collaborations with strategic investors targeting AI semiconductors.

Nota AI intends to file for an IPO early next year, with Mirae Asset Securities as the lead underwriter, indicating strong preparation for a stable listing. Mirae Asset Securities, participating in this investment round, has expressed high expectations for Nota AI’s successful IPO.

Myungsu Chae, CEO of Nota AI, stated, “Our sales for the first half of this year are expected to exceed the total sales of 2023, and we anticipate a 300% increase in sales for 2024 compared to the previous year. With this investment, we will actively pursue strategic collaborations with partners and expand our overseas business to establish ourselves as a global leader in on-device AI.”

Jae Won Do, Director at STIC Ventures, who led this investment round, commented, “Nota AI is evaluated as a company that can popularize evolving and sophisticated AI models across various devices. We expect that, alongside big tech companies like NVIDIA and ARM, Nota AI will play a key role in the spread of on-device AI.”

AiThority.com Latest News: 80% of Automotive Oems and Tier 1 Suppliers Rely on Sama for High-Quality Annotation of Complex Sequences

Nota AI’s platform, ‘NetsPresso,’ optimizes AI models for device compatibility, allowing AI models to run directly on the device. Nota AI has established official partnerships with global tech companies such as NVIDIA, ARM, Intel, STMicroelectronics, and Renesas, maintaining close collaborations.

AiThority.com Latest News: Prevalent Enhances Third-Party Risk Management Platform with AI-Powered Features for Streamlined Navigation and Enhanced Threat Detection

[To share your insights with us as part of editorial or sponsored content, please write to psen@itechseries.com]

The post Nota AI Secures $19.9Million Series C to Pioneer On-Device Generative AI appeared first on AiThority.

Zeta Surgical, a surgical robotics and mixed reality company, announced the completion of its first multicenter clinical trial using the Zeta Cranial Navigation System.

The Zeta Cranial Navigation System is a mixed-reality navigation system for neurosurgery that provides surgeons with “GPS-like” guidance with millimetric accuracy in real time. Zeta’s next-generation computer vision engine enables automatic, motion-aware registration, making navigated neurosurgery feasible for point-of-care delivery at virtually any location.

Read: AI in Content Creation: Top 25 AI Tools

The company received its latest 510(k) clearance from the U.S. FDA in January 2024.

The trial was led by NNI Consultant Dr. Min Wei Chen and conducted at Singapore General Hospital and Tan Tock Seng Hospital. It involved fifteen patients requiring elective and emergency ventriculostomy – a routine procedure traditionally performed without navigation, often resulting in revision surgeries and injury. During the trial, all patients were successfully cannulated in a single attempt and with no adverse events.

“We feel very privileged and excited to be part of the forefront of medtech. It has been an enlightening journey watching how the project evolved from the lab to the operating theater. The results of the trial speak for themselves,” said Dr. Chen. “We have learned such valuable lessons together as a team and look forward to the future where I am sure this navigation platform will become one of the key must-haves in the modern neurosurgical unit.”

AiThority.com Latest News: Tabnine Adds Support for Anthropic Claude 3 Model to Accelerate and Optimize Software Development

“We’re very thankful to our partners at NNI for collaborating with us on this trial,” said Raahil Sha, Co-Founder and Chief Technology Officer of Zeta Surgical. “We look forward to launching commercial pilots across a broader spectrum of procedures, bringing our technology to hospitals across the United States.”

Zeta Surgical is redefining the standard of care for image-guided surgery. Its cutting-edge navigation and robotics platform applies advanced AI to enable high-accuracy image guidance across any point-of-care in minutes, unlocking a new era of less invasive and more effective targeted therapies.

Read More: Phrase Adds New AI-Powered Localization Enhancements

[To share your insights with us as part of editorial or sponsored content, please write to psen@martechseries.com ]

The post Zeta Surgical’s AI-Powered Navigation System Successfully Completes First Clinical Study appeared first on AiThority.

Nearly three million industrial robots are currently employed in factories all over the world, as reported by the International Federation of Robots (IFR).

Understanding Robotics And AI

As more and more sectors come to rely on them, robots are moving from the realm of science fiction and the hyperactive imagination to the mainstream.

Robotics is a subfield of AI that focuses on the design and implementation of autonomous robots and other intelligent machines. Robotics is interdisciplinary since robots are mechanically constructed, include electrical components, and are controlled by computer code.

Although robots and AI are aimed at separate problems and have diverse applications, the two are often discussed as if they were the same. Robots have a human-like appearance and, with the help of artificial intelligence, can mimic human behavior.

When We Talk About “AI Robots,” What Exactly Do We Mean?

Sensors (such as 2D/3D cameras, vibration sensors, proximity sensors, accelerometers, and other environmental sensors) are added to AI-powered robots to provide them with sensory data on which they may make decisions in real-time.

Read the latest blogs: Navigating The Reality Spectrum: Understanding VR, AR, and MR

Intelligent robots powered by AI bridge the gap between the two fields. AI robots are piloted by computer programs that employ various forms of artificial intelligence (ML, CN, RL, etc.). The vast majority of robots now in use are not AI robots; rather, they are programmable machines designed to carry out specific, repetitive motions. These robots, however, have restricted capabilities.

If you want the robot to be capable of more complicated jobs, artificial intelligence algorithms are a must.

One possible method for a warehouse robot to make its way around is through the use of a path-finding algorithm. When a drone’s battery is low, it may utilize built-in directions to return to base automatically. Possible artificial intelligence algorithms used by a self-driving automobile to identify and sidestep road dangers. These robots are all good instances of those with artificial intelligence.

Benefits Of Incorporating AI Into Robotics

• Artificially intelligent robots’ primary value is in providing social care. With chatbot-like social abilities and powerful processors, they can help guide people and are especially useful for assisting the elderly.
• Another area of robotics application is in agriculture. The use of these robots eases the burden on farmers.
• Military bots can replace troops and save lives while also spying on the enemy undetected via voice and vision detectors.
• Robots are used in environments where people would perish, such as inactive volcanoes, the depths of the ocean, extreme cold, and outer space.
• With a set of instructions and some extra Intelligence, robots can execute difficult procedures that carry a larger risk of error in the hands of humans. There may be many fewer casualties if robots were enhanced with AI.
• Faster product delivery, increased productivity, and more time for humans to focus on value-added activities like process improvement, AMR problem-solving, and creative problem-solving are all the results of this development.
• Artificial intelligence robots can do in-line quality checks in manufacturing settings, eliminating the need to wait until the conclusion of the production cycle.
• Because AI-enabled robots can pick up on cues from human speech and body language, they can get better at their jobs as they securely assist humans.
• Robotics is often used by huge corporations with even larger warehouses since it reduces operating time and intermediate expenses.
• They might greatly enhance our living conditions in places like the classroom and the household.
• Humanoid robots are helping to accelerate the trend toward individualized education.
• Robots that are linked to the internet at home may conduct things like sweeping and cooking for their owners.
• They hold great promise for addressing global issues including climate change, energy scarcity, and healthcare disparities.
• They can be programmed to undertake many of the mundane, repetitive duties that eat up our day so that we have more mental bandwidth for more interesting activities.
• They give us fresh resources for figuring out how to preserve our natural environment for the benefit of present and future generations.
• They give us hope for a society where everyone, regardless of who they are or where they come from, gets a fair shot at realizing their full potential.

Read: AI and Machine Learning Are Changing Business Forever

FAQ’s: AI And Robotics

• Will automation by AI robots make money and power obsolete in the future?

Money wouldn’t only be worthless; it’d be immoral. There would be no way to make money under such a regime. In any plausible scenario, the notion that “more jobs would be created” would have been phased out long before now.

• Will automation generate more job opportunities contrary to general belief?

On the one hand, automation often generates a comparable number of new employment to those it eliminates. Workers who are trained to use machines are more productive than those who are not; this drives down the price of products and services and gives the impression of prosperity to the general public.

• What computer technologies are expected to shape the future of home automation and robotics?

One of the most notable developments in smart home technology is the proliferation of AI-powered home systems. Because of the machine learning feature of AI, it can study sensor data and anticipate what needs to be done before the homeowner ever gives the instruction.

• What factors do clients consider while employing RPA?

Clients may turn to RPA to speed up and improve service in response to consumer demands in specific circumstances. Automation of tracking and reporting activities is one way in which RPA may assist businesses in ensuring regulatory compliance.

• What sort of advances in human-robot collaboration might there be by 2050?

Households will increasingly have personal robots to help with chores like cleaning, cooking, and caring for youngsters and the elderly. Advanced AI will be built into these robots, expanding their capabilities and making them useful in a variety of settings.

The Perfect Match

Statistics show that just one percent of robotics firms are successful; nonetheless, that one percent is increasingly exerting global dominance.

Without a doubt, robotics and AI have the potential to revolutionize our society, giving us the tools we need to confidently and optimistically face an uncertain future.

Whether we welcome or reject these new forms of technology, they will certainly continue to play an ever-greater part in our lives.

The post Benefits Of Incorporating AI Into Robotics appeared first on AiThority.

From the forefront of innovation to the frontiers of cutting-edge AI, NVIDIA is constantly pushing the boundaries of technology. A series of innovations, each more significant than the previous, are unveiled by NVIDIA in a flurry of releases. How about we take a trip down memory lane and see the top ten NVIDIA updates that are changing the game?

Top 10 NVIDIA Updates for this Week

#1 Microsoft and NVIDIA Revolutionize Generative Technologies for Businesses Globally

As part of their ongoing partnership, Microsoft Corp. and NVIDIA unveiled new integrations at Monday’s GTC that bring together the cutting-edge OmniverseTM and generative AI technologies from NVIDIA with Azure, Azure AI services, Fabric, and Microsoft 365.

AI inference predictions in Microsoft Copilot for Microsoft 365 are powered by NVIDIA GPUs and NVIDIA Triton Inference ServerTM. Copilot for Microsoft 365, which will soon be available as a dedicated physical key on Windows 11 PCs, integrates massive language models with confidential business data to provide users with contextualized intelligence in real time, allowing them to improve their efficiency, innovation, and expertise.

Azure AI is getting NVIDIA NIMTM inference microservices, which will speed up AI deployments. Optimal inference on over twenty common foundation models, including NVIDIA-built models that customers can sample at ai.nvidia.com, is provided by cloud-native microservices offered by NIM, which is part of the NVIDIA AI Enterprise software platform that is also accessible on the Azure Marketplace. To aid developers in reducing the time it takes to bring performance-optimized production AI applications to market, the microservices include prebuilt, run-anywhere containers that are powered by NVIDIA AI Enterprise inference technologies, such as Triton Inference Server, TensorRTTM, and TensorRT-LLM.

#2 Databricks and NVIDIA Team Up to Supercharge Workloads

Databricks and NVIDIA have partnered to enhance Databricks Data Intelligence Platform data and AI workloads. Based on NVIDIA’s involvement in Databricks’ Series I fundraising round, the partnership is expanding. Databricks uses NVIDIA’s accelerated computing and software across the board for model deployment. Mosaic AI Model Serving by Databricks relies on NVIDIA TensorRT-LLM software, which guarantees a scalable, performant, and cost-effective solution with state-of-the-art performance. As a former TensorRT-LLM launch partner, Mosaic AI continues to work closely with NVIDIA on technical projects.

Quickly set up the correct NVIDIA infrastructure and maintain a consistent environment for all users with these tools. To facilitate high-performance distributed and single-node training for machine learning workloads, Databricks is compatible with NVIDIA Tensor Core GPUs across all three main clouds.

Read: Data monetization With IBM For Your Financial benefits

#3 SAP and NVIDIA Join Forces to Drive Global Innovation

With today’s announcement of their expanded alliance, NVIDIA, and SAP want to help SAP’s enterprise customers quickly leverage data and generative AI across all of SAP’s cloud products and apps. SAP intends to employ NVIDIA AI Enterprise software, specifically NVIDIA NIM inference microservices and NVIDIA NeMo RetrieverTM microservices, once models are prepared for deployment in SAP cloud solutions. With NVIDIA NIM, the enhanced SAP infrastructure can run inferences faster and more efficiently. To boost accuracy and insights, SAP aims to add RAG capabilities using NVIDIA NeMo Retriever microservices. These capabilities will allow generative AI applications to more securely access data running on SAP infrastructure. Both SAP and data from outside parties can be used by customers with RAG.

To streamline and improve digital transformation, SAP and NVIDIA are investigating over 20 use cases for generative AI. Generative AI features in SAP S/4HANA Cloud automate ERP with intelligent invoice matching; in SAP SuccessFactors, improve HR use cases; and in SAP Signavio, speed up the processing of new generative AI insights to optimize customer support and better process business recommendations.

#4 Oracle and NVIDIA collaborate to deliver accelerated computing and generative AI services

An expanded partnership to provide global customers with sovereign AI solutions was announced today by Oracle and NVIDIA. Governments and corporations can implement AI factories thanks to Oracle’s distributed cloud, AI infrastructure, and generative AI services, as well as NVIDIA’s accelerated processing and generative AI software. With the integration of NVIDIA’s full-stack AI platform and Oracle’s Enterprise AI, customers have access to a cutting-edge AI solution that enhances digital sovereignty by giving them more control over operations, location, and security. This solution can be deployed across Oracle Alloy, Oracle EU Sovereign Cloud, Oracle Government Cloud, and OCI Dedicated Region.

Computing will enter a new age with the help of the NVIDIA GB200 GraceTM Blackwell Superchip. Supercharging AI training, data processing, and engineering design and simulation, GB200 delivers up to 30X faster real-time large language model (LLM) inference, 25X lower total cost of ownership (TCO), and uses 25X less energy than the previous generation of GPUs. High-performance computing (HPC), data analytics, and artificial intelligence (AI) tasks are the specialty of NVIDIA’s Blackwell B200 Tensor Core GPUs.

#5 Google Cloud and NVIDIA announced a deepened partnership to foster the machine learning (ML) community

Google will incorporate NVIDIA NIM inference microservices into their platform, expanding on their previous partnership to enhance the Gemma family of open models. This will allow developers to utilize their choice of tools and frameworks for training and deployment on an open and flexible platform. Additionally, the businesses showcased their support for JAX on NVIDIA GPUs, as well as Vertex AI instances that are powered by NVIDIA H100 and L4 Tensor Core GPUs. By bringing JAX’s benefits to NVIDIA GPUs, Google Cloud, and NVIDIA increased the ML community’s access to large-scale LLM training.

Read: Top 10 Benefits Of AI In The Real Estate Industry

One of the most user-friendly and powerful frameworks for LLM training is JAX, a high-performance machine learning framework that is native to Python and focused on compilers. MaxText and the Accelerated Processing Kit (XPK) on Google Cloud now make it possible for AI practitioners to employ JAX with NVIDIA H100 GPUs. With the help of Google Cloud HPC Toolkit and Google Kubernetes Engine (GKE), NVIDIA NeMoTM framework deployments on Google Cloud have become much simpler. Rapid deployment of turnkey environments is made possible with configurable blueprints that start the development process, and developers may automate and scale the training and serving of generative AI models. Another convenient approach for users to get NVIDIA NeMo and other frameworks to speed up AI development is through the Google Marketplace. Nemo is part of NVIDIA AI Enterprise.

#6 NVIDIA DRIVE Thor, a next-generation centralized computer for safe and secure autonomous vehicles

To power their next-generation consumer and commercial fleets, including new energy vehicles, trucks, robotaxis, robobuses, and last-mile autonomous delivery vehicles, NVIDIA DRIVE ThorTM centralized car computers have been chosen by top transportation companies, according to a news release from NVIDIA today.

The emergence of generative AI applications is driving their importance in the automotive sector, and DRIVE Thor is an in-vehicle computer platform designed for these purposes. This system, which is the next generation of DRIVE Orin, can provide a centralized platform with feature-rich cockpit capabilities as well as safe and secure autonomous driving. During his talk at GTC, NVIDIA founder and CEO Jensen Huang introduced the new Blackwell architecture, which is designed for transformer, LLM, and generative AI applications. This next-generation AV platform will incorporate this architecture. The new NVIDIA Blackwell architecture, which includes a generative AI engine and other state-of-the-art capabilities, is set to be used by DRIVE Thor in production vehicles as early as next year. It possesses 1,000 teraflops of performance and helps to guarantee the safety and security of autonomous machines.

#7 NVIDIA announced Project GR00T, a general-purpose foundation model for humanoid robots, designed to further its work driving breakthroughs in robotics and embodied AI.

Project GR00T, meant to promote NVIDIA’s efforts driving breakthroughs in robotics and embodied AI, is a general-purpose foundation model for humanoid robots. It was revealed today by the company.

Included in the initiative was the unveiling of a new computer called Jetson Thor for use in humanoid robots, built on the NVIDIA Thor system-on-a-chip (SoC). Additionally, the NVIDIA Isaac™ robotics platform received substantial upgrades, including new models for generative AI foundation, simulation tools, and AI workflow infrastructure. To run multimodal generative AI models like GR00T, the system on a chip has a next-gen graphics processing unit (GPU) built on the NVIDIA Blackwell architecture. Its transformer engine provides 800 teraflops of 8-bit floating point AI capability. It makes design and integration much easier with its built-in functional safety processor, high-performance CPU cluster, and 100GB of ethernet bandwidth.

1X Technologies, Agility Robotics, Apptronik, Boston Dynamics, Figure AI, Fourier Intelligence, Sanctuary AI, Unitree Robotics, XPENG Robotics, and many more leading humanoid robot firms are part of NVIDIA’s effort to establish a comprehensive AI platform. Isaac Manipulator and Isaac Perceptor, a set of reference hardware, libraries, and pre-trained models for robotics, were also introduced by NVIDIA.

With its extensive library of foundation models and GPU-accelerated capabilities, Isaac Manipulator provides robotic arms with cutting-edge dexterity and customizable AI capabilities. Developers can automate more new robotic jobs with its help because it speeds up path planning by up to 80 times and boosts efficiency and throughput with zero-shot perception. Yaskawa, Franka Robotics, READY Robotics, Solomon, Universal Robots (a Teradyne business), and PickNik Robotics are among the early ecosystem partners.

#8 NVIDIA announced that Japan’s new ABCI-Q supercomputer will be powered by NVIDIA platforms for accelerated and quantum computing

ABCI-Q will pave the way for industry-wide research by enabling high-fidelity quantum simulations. The open-source hybrid quantum computing platform NVIDIA® CUDA-QTM is integrated into the scalable, high-performance system. It offers robust simulation tools and the ability to program hybrid quantum-classical systems. The supercomputer runs on 500+ nodes linked by NVIDIA Quantum-2 InfiniBand, the only completely offloadable in-network computing platform in the world, and over 2,000 NVIDIA H100 Tensor Core GPUs.

Developed by Fujitsu at the G-QuAT supercomputing center of the National Institute of Advanced Industrial Science and Technology (AIST), ABCI-Q is slated for deployment early next year and is built to integrate with future quantum hardware.

#9 NVIDIA announced a 6G research platform that empowers researchers with a novel approach to develop the next phase of wireless technology

Researchers have access to a full range of tools to enhance artificial intelligence (AI) for radio access network (RAN) technologies on the open, flexible, and linked NVIDIA 6G Research Cloud platform. Organizations can use the platform to speed up the development of 6G technologies, which will link trillions of devices to cloud infrastructures. This will pave the way for a hyper-intelligent world with smart spaces, autonomous vehicles, and various forms of immersive and extended reality education, as well as collaborative robots.

By bringing together these robust foundational tools, the NVIDIA 6G Research Cloud platform paves the path for the next generation of wireless technology and allows telecoms to realize 6G’s full potential. Researchers interested in using the platform can join the NVIDIA 6G Developer Program.

Read: 4 Common Myths Related To Women In The Workplace

#10 NVIDIA announced that NVIDIA Omniverse™ Cloud will be available as APIs for creating industrial digital twin applications

Developers can now incorporate core Omniverse technologies into their simulation workflows for testing and validating autonomous machines, such as self-driving vehicles or robots, or into digital twin design and automation software applications with the help of five new APIs from Omniverse Cloud.

Ansys, Cadence, Hexagon, Microsoft, Rockwell Automation, Siemens, and Trimble are among the world’s leading industrial software makers who have integrated Omniverse Cloud APIs into their product portfolios. Dassault Systèmes is known for its 3DEXCITE trademark.

Robots, AVs, and AI-based monitoring systems are becoming increasingly popular, therefore developers are looking for ways to speed up their end-to-end workflows.

Training, testing, and validating full-stack autonomy—from perception to planning and control—requires sensor data.

To facilitate full-stack training and testing with physically based sensor simulation, the Omniverse Cloud APIs link a robust developer ecosystem of simulation tools and applications, including Foretellix’s ForetifyTM Platform, CARLA, and MathWorks, with industry-leading sensor solution providers, such as FORVIA HELLA, Luminar, SICK AG, and Sony Semiconductor Solutions.

Initially made available on Microsoft Azure, developers will have the opportunity to utilize the Omniverse Cloud APIs later this year on both self-hosted and managed NVIDIA accelerated systems.

Wrapping Up

As we wrap up our look at the top 10 NVIDIA upgrades, one thing stands out: skilled hands are shaping the future of technology. The limits of what is possible are continually being pushed farther by NVIDIA’s dogged quest for innovation and perfection. They are laying the groundwork for a future where cutting-edge technology, scientific inquiry, and immersive gaming all come together with every update. We look forward to what the future holds with great anticipation, but one thing is certain: NVIDIA will keep at the forefront, molding the tech industry for years to come while sparking wonder and new ideas at every turn.

The post Top 10 NVIDIA Updates appeared first on AiThority.

Wayve, a leader in Embodied artificial intelligence (AI) for autonomous driving, has announced that industry luminary Erez Dagan has joined as President. In this role, Erez will oversee the product, business, and strategy for delivering Wayve’s Embodied AI applications to OEMs.

Erez brings to Wayve a remarkable career spanning 20 years at Mobileye, where he contributed significantly to developing advanced driver assistance systems (ADAS) and automated driving (AD) technologies. With expertise in Computer Vision, Erez ascended to key leadership positions, including Executive Vice President of Product and Strategy and Vice President of Intel Global. During his tenure, he led the company’s product portfolio and strategy, driving the deployment of ADAS in over 120 million vehicles, pioneering L2+ solutions with automotive partners and scaling this architecture to lay the groundwork for its L4 mobility-as-a-service business unit.

Recommended AI News: Mission Cloud Achieves the AWS Generative AI Competency

Recognised as a pioneer in the field, Erez was part of the team that launched the first camera-based ADAS products, paving the way for today’s automotive technology systems. He now joins Wayve to lead the introduction of their first Embodied AI products for production vehicles, leveraging his deep expertise in machine learning technologies to deliver cutting-edge automotive products as a trusted partner to OEMs.

Alex Kendall, Co-founder & CEO, Wayve says:
“Erez’s achievements and pivotal role in shaping the automated driving industry are unquestionable. I couldn’t be more excited to partner with him and learn from his extensive knowledge. Erez greatly understands the challenges the industry faces in deploying this technology safely and sees the opportunities that end-to-end Embodied AI can address.

Having Erez join our team strengthens our commitment to pioneering Embodied AI technology for the automotive industry. We aim to forge partnerships with the most forward-thinking automotive manufacturers, using AI to unlock autonomy in production vehicles on a large scale. It is an honour to work alongside Erez as we embark on this journey to deliver the first end-to-end AI product range for automakers.”

Recommended AI News: Automation Anywhere’s Strong Q4 Driven by Gen AI Deals and Customer Retention

Erez Dagan, President, Wayve says:
“Like many others, I have witnessed an incredible transformation in AI, with its expressive power and unparalleled generalisation capabilities evolving at an unprecedented pace. This recent disruption marks the start of a significant turning point in the field. My two decades of experience developing ADAS and AD solutions have given me a deep understanding of the complexities and challenges of deploying this technology safely at scale. Advancements in modern AI have convinced me that the best way to tackle this 20-year-long complex problem of achieving truly safe and scalable automated driving is to adopt end-to-end (e2e) Embodied AI. This is key to solving the long-tail of scenarios that have long eluded the industry.

I was inspired to learn that Wayve has been at the forefront of developing autonomous driving technology based on this visionary end-to-end AI strategy. Discovering that Wayve has built a strong, defensible moat and valuable assets to pursue this mission was a pivotal moment for me. I am excited and humbled to partner with Alex in bringing this critically required next-generation driving automation technology to market.”

Recommended AI News: Oracle Adds New Generative AI Capabilities to Oracle Fusion Cloud Applications Suite

[To share your insights with us as part of editorial or sponsored content, please write to sghosh@martechseries.com]

The post AV Pioneer Erez Dagan Joins Wayve as Company President appeared first on AiThority.

AvaWatz Company, a leading-edge AI company at the forefront of collaborative robotics, proudly announces the launch of its capital raise campaign on the StartEngine platform. With a mission to liberate humans from high-risk and tedious tasks, AvaWatz is set to revolutionize industries with its trusted AI platform.

AvaWatz has already garnered significant attention and support, securing over $4.5 million in funding, including $2.2+ from the US Department of Defense. The company’s focus on collaborative robotics has positioned it as a key player in enhancing safety and efficiency across commercial and government sectors.

Recommended AI News: Tellius Reveals GenAI Enhancements, Pioneering Enterprise Analytics and Insights

The AvaWatz platform empowers existing robots to work seamlessly together, even in challenging environments, ensuring the safety of human workers. By tackling complex tasks such as inspections and maintenance, surveillance, and warning for security, AvaWatz aims to transform the way tedious and high-risk tasks are performed.

Traditional robots can perform one task very well but can’t yet make group decisions to solve problems, and they struggle in unstructured and unpredictable environments. AvaWatz addresses these challenges with its trusted AI platform, empowering robots to perform tedious, time-sensitive, high-stress, and high-risk tasks alongside humans. This drastically reduces human exposure to danger, increases safety statistics, and improves profitability.

Recommended AI News: Philips and SyntheticMR Collaboration Advances AI in MRI Diagnostic Imaging: GlobalData

AvaWatz has been actively collaborating with US defense organizations, achieving significant milestones, including our genesis application for Airfield Runway Debris Detection and Removal and Obstacle Detection and Avoidance application for Tethered Air and Ground Robotic Vehicles. To further accelerate its growth and technology innovation, AvaWatz has chosen the StartEngine platform for its capital raise campaign. Start Engine is an equity crowdfunding platform that enables retail investors from all backgrounds to join AvaWatz on its journey to revolutionize the world of collaborative robotics.

Recommended AI News: Paddle Launches Expanded AI Launchpad to Help Ambitious AI Founders Accelerate Growth

[To share your insights with us as part of editorial or sponsored content, please write to sghosh@martechseries.com]

The post AvaWatz is Set to Revolutionize Robotics Industries With its Trusted AI Platform appeared first on AiThority.

The post Addverb Announces Partnership with DHL Supply Chain in North America appeared first on AiThority.

The post Knightscope Announces Innovation Week appeared first on AiThority.

Touch sensors that don’t even need direct contact offer new sensitivity for robotic 3D structure recognition and wireless transmission of data

A radical new type of touch sensor for robotics and other bio-mimicking (bionic) applications is so sensitive it works even without direct contact between the sensor and the objects being detected. It senses interference in the electric field between an object and the sensor, at up to 100 millimetres from the object. The researchers at Qingdao University in China, with collaborators elsewhere in China and South Korea, describe their innovation in the journal Science and Technology of Advanced Materials.

Electronic skins have become a crucial element in bionic robots, allowing them to detect and react to external stimuli promptly. This can allow robotic systems to analyse an object’s shape, and, if required, also to pick it up and manipulate it.

The sensors in most current systems rely on direct touch causing a physical deformation of a contact layer, leading to changes in electrical capacitance. Unfortunately, the uniformity of the response to different regions limits the sensitivity and overall abilities of such systems.

Recommended AI News: Fujitsu Unveils AI-powered Applications to Tame 5G+ Network Complexity

“To bring greater sensitivity and versatility we have developed new composite films with surprising and very useful electrical properties,” says Xinlin Li of the Qingdao University team.

The most surprising aspect came when the researchers combined two materials with a high dielectric constant – a measure of their response to electric fields. This composite had an unexpectedly low dielectric constant, a counter-intuitive result which is ideally suited to making a sensor that is more sensitive to electric fields.

The composite consists of small amounts of graphitic carbon nitride added to polydimethylsiloxane. It can be made and processed by a specific 3D printing method, called dispensing printing, that offers fine control over the structure and pattern of the printed high-viscous ink. The team used this to make a grid that could sense objects while between 5 and 100 millimeters away from the object’s surface. They tested the grid’s capabilities by using the researchers’ fingers as the objects being detected, as they approached close to the grid but without actually making contact.

“The performance was outstanding, in terms of sensitivity, speed of response and robust stability through many cycles of use,” says Li. “This opens new possibilities in the field of wearable objects and electronic skin.” She adds that it is suitable for making the physically flexible sensors needed for wearable technologies. These could be applied for medical monitoring, or more general uses in the fast developing ‘internet of things’(IoT), involving remote control of a wide variety of appliances.

Recommended AI News: Spirent Unveils Industry’s First AI Traffic Emulation Platform for Ethernet

Incorporating the sensing grid into a printed circuit board allowed the data it collects to be transmitted over the 4G networks widely used by mobile phones.

The team now plan to refine the technology with a view to develop its suitability for mass production. They also want to explore further possibilities beyond merely detecting shape and movement.

For example, different units in the sensor array have the ability to respond sequentially, which provides the possibility of realizing human-computer interaction, such as gesture recognition. The performance of the sensors in the contact and non-contact system also reflects its potential in human motion detection, such as obstacle avoidance and gait monitoring, which could be applied in intelligent medical care.

Recommended AI News: Samsung, Juniper Networks, and Wind River Drive Greater vRAN and Open RAN Efficiencies

[To share your insights with us as part of editorial or sponsored content, please write to sghosh@martechseries.com]

The post Sensing Structure without Touching appeared first on AiThority.