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Lightricks Partners With Shutterstock for Video Training Data to Advance Open Source LTXV Video AI Generative Video Model

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Shutterstocks’ partnership with Lightricks is the first of a new data licensing approach that builds new ways for training AI models

JERUSALEM and NEW YORK, Dec. 13, 2024 /CNW/ — Lightricks, a global leader of AI-powered creative technology, today announced it is partnering with Shutterstock, Inc. (NYSE: SSTK) to license and use Shutterstock’s extensive video asset library. This collaboration will empower Lightricks to train its open-source video generation model, LTX Video (LTXV), using high-quality HD and 4K video assets. Lightricks is the first global partner to train on Shutterstock’s industry-first “research license,” a unique option that reduces the entry barrier for open-source model training.

“Our innovative research license empowers partners to train AI models using trusted, licensed data from the start.”

 Leveraging the research license model mirrors Lightrick’s vision to expand access to creative tools, while driving high quality generative AI results ensure creators’ have protection for their content from the outset. By first integrating a research licence, startups and AI companies can build and refine AI tools on premium, licensed data before making a larger commitment in a full commercial license. This approach also offers a cost-effective path to accessing high-quality data at the research and development stage, addressing a key challenge many new or established companies may face in training AI models.

“This long-term partnership with Shutterstock marks a strategic milestone for us, building on our licensing initiatives from the past year, including agreements with major broadcasters and key content providers.” said Zeev Farbman, Co-founder and CEO of Lightricks. “At our core, we’re committed to building powerful, accessible creative tools. This collaboration not only enhances our ability to train AI models with premium, diverse video data, but also elevates the quality and relevance of our generative video tools for our growing community of professional creators and enterprises.”

This partnership also continues Lightricks’ AI mission to drive access to creative tools, while driving high-quality generative AI results. By incorporating Shutterstock-licensed video data, Lightricks strengthens its training models, ensuring they are built on robust, industry-recognized datasets that respect the creativity of filmmakers and broadcasters. This announcement follows Lightricks’ release of LTXV 0.9 to the open-source community in November 2024. By leveraging Shutterstock’s premium HD and 4K video data, Lightricks aims to prioritize quality in its next model update, enhancing results for users while advancing its open-source initiatives.

“With our innovative research license model, we empower partners to train their AI models using trusted, licensed data from the start,” said Daniel Mandell, Global Head of Data Licensing & AI at Shutterstock. “We’re thrilled to collaborate with Lightricks on their cutting-edge video tools and remain committed to delivering the data assets they need to achieve long-term success.”

Shutterstock’s expansive library—consisting of more than one billion royalty-free assets, including images, videos, music, 3D models, templates, and more—provides one of the largest and most diverse global media datasets available for multimodal model training.

About Lightricks
Lightricks is a global leader in developing AI-powered creative tools that empower creators and brands. With innovative products like Facetune, Videoleap, and the recently launched LTX Studio, Lightricks is transforming the creative landscape.

About Shutterstock, Inc.
Shutterstock, Inc. (NYSE: SSTK) is a premier partner for transformative brands, digital media and marketing companies, empowering the world to create with confidence. Fueled by millions of creators around the world and a fearless approach to product innovation, Shutterstock is the leading global platform for licensing from the most extensive and diverse collection of high-quality 3D models, videos, music, photographs, vectors and illustrations. From the world’s largest content marketplace, to breaking news and A-list entertainment editorial access, to all-in-one content editing platform and studio production service—all using the latest in innovative technology—Shutterstock offers the most comprehensive selection of resources to bring storytelling to life.

Learn more at www.shutterstock.com and follow us on LinkedIn, Instagram, Twitter, Facebook and YouTube.

 

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SOURCE Shutterstock, Inc.

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MEDIA ADVISORY – Governments of Canada and the Yukon Make Energy Affordability Announcement in Whitehorse

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WHITEHORSE, YT, Dec. 18, 2024 /CNW/ – Brendan Hanley, Member of Parliament for Yukon, will make an energy affordability announcement alongside the Honourable John Streicker, Minister of Energy, Mines and Resources, Minister of Tourism and Culture, Minister responsible for Yukon Development Corporation, Minister responsible for Yukon Energy Corporation and Minister responsible for French Language Services Directorate. Media availability will follow.

Date:

December 19, 2024

Time:

2:30 p.m. MT

All accredited media are asked to pre-register by emailing media@nrcan-rncan.gc.ca by December 19 at 9 a.m. MT. A dial-in line is available for media and will be provided upon registration.  

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SOURCE Natural Resources Canada

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Simulation Theory, Inc. Raises $2 Million in Pre-Seed Funding to Combat Cloud Waste, Revolutionize the Future of Compute

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SAN DIEGO, Dec. 18, 2024 /PRNewswire/ — Simulation Theory Inc., a start-up dedicated to reducing waste by optimizing compute resources, has successfully raised $2 million in pre-seed funding. The round was led by Larry Russ, managing partner at Russ, August & Kabat with individual investors including Ryan Peterson, former CEO of Finger Food Advanced Technology Group and Robert Wallace of Strategic Alternatives. The funding will be used to support further development of Simulation Theory’s innovative software development kit (SDK) designed to maximize applications’ ability to optimize existing resources to help companies save billions in overspending on hardware and cloud usage each year.

In today’s digital landscape with the widespread adoption of generative AI and complex simulations, many businesses increasingly rely on cloud services, yet struggle with the skyrocketing prices associated with inefficient hardware usage. Simulation Theory’s technology allows businesses to leverage their existing infrastructure more efficiently, reducing cloud compute costs by up to 40 percent by dramatically increasing application performance.

“The Digital Revolution is over. Welcome to the Age of Optimization,” said Anthony Castoro, chief executive officer and co-founder of Simulation Theory. “As the demand for computing resources continues to skyrocket, we cannot simply build our way out of the problem. Simulation Theory is a deep technology company founded to address the fundamental computing challenges this new age presents. The Simulation Theory SDK allows customers to maximize the compute resources they already have, driving down costs, accelerating business results and promoting sustainable practices that can dramatically reduce our carbon footprint.”

“We understand that creating software that scales on modern CPUs is challenging and as a result the solution has been to throw more expensive hardware at the problem,” said Randy Culley, chief technology officer at Simulation Theory. “Our technology makes it simple for application developers to take full advantage of multi-core CPU architectures on every popular operating system. Some of our early clients have already increased their compute performance by several orders of magnitude, reducing time to completion by as much as 90 percent on the same hardware.” 

Customers including Secur3D, Encant AI, Perception Grid and Gameye are among Simulation Theory’s initial partners evaluating the benefits of a Simulation Theory technology integration in terms of future cost savings and performance gains.

Secur3D, a company that moderates and safeguards UGC, is transforming how platforms, creators, and brands protect their 3D assets from infringement and unauthorized use. By leveraging Simulation Theory, Secur3D is poised to scale its operations rapidly. “Integrating Simulation Theory will allow us to expand in ways we thought would take years,” said Nigel Metcalf, Head of Product at Secur3D. “We anticipate increasing our asset intake capacity by at least 20x and believe this technology will change how people anticipate, compute, and meet customer demand.”

Simulation Theory has also recently launched a pilot program to test the technology’s effectiveness for enterprise applications across various industries.

For more information, visit www.simtheoryinc.com and follow Simulation Theory on LinkedIn.

About Simulation Theory
Simulation Theory’s mission is to solve the most complex compute problems to save companies billions. Founded in 2023 by Anthony Castoro and Randy Culley, Simulation Theory’s proprietary SDK uniquely empowers businesses to leverage existing resources efficiently and sustainably for maximum reduction in cost, increased performance and minimized impact on the environment. 

Press Contact:
press@simtheoryinc.com

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SOURCE Simulation Theory Inc.

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The Use of AI in Education: Challenges and Implementation Strategies Outlined in Info-Tech Research Group’s New Blueprint

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Recently published research insights from global firm Info-Tech Research Group are providing IT leaders in the education sector with a strategic framework to implement AI use. The resource outlines use cases and advisory on how institutions can adopt AI technologies responsibly to enhance operational efficiency, personalize learning, and improve student outcomes. The firm explains that by evaluating key factors such as technology, feasibility, and industry relevance, institutions can create impactful AI roadmaps that align with their goals and drive meaningful improvements in schools.

TORONTO, Dec. 18, 2024 /PRNewswire/ – As artificial intelligence (AI) continues to transform industries, its adoption in education presents both immense opportunities and significant challenges. From aligning AI initiatives with institutional goals to addressing budgetary constraints and managing the complexities of emerging technologies, the integration process demands careful planning and execution. To support institutions in overcoming these obstacles, Info-Tech Research Group has published an industry blueprint, Prioritize AI Use Cases for Education. The resource contains the global research and advisory firm’s research insights and recommendations for IT leaders to identify and prioritize AI use cases tailored to their institutions’ needs. Info-Tech’s blueprint provides a framework for adopting AI responsibly, which will support institutions in enhancing operational efficiency, improving student engagement, and making informed, data-driven decisions.

Info-Tech’s newly published resource underscores the rapid adoption of AI within the education sector and urges CIOs to strategically embrace its transformative potential.

“The strategic priority of AI determines the institution’s approach,” says Mark Maby, principal research director at Info-Tech Research Group. “For example, institutions focused on institutional growth and sustainability may use AI to personalize learning, optimize course offerings, and identify high-potential students. Those focused on operational excellence may use AI to automate tasks, improve efficiency, and reduce costs. Meanwhile, institutions emphasizing instructional and research value may use AI to create personalized learning experiences, provide real-time feedback, and discover new knowledge.”

‘ The firm emphasizes that successfully adopting AI requires carefully aligning IT and institutional goals. However, many educational institutions struggle to understand how AI can impact their operations and are unsure where to start when prioritizing use cases. To help institutions navigate these challenges, Info-Tech suggests a strategic and responsible approach that includes identifying relevant use cases, understanding potential benefits, and developing a comprehensive plan to address the complexities of implementation and ongoing use.

“The introduction of AI can be contentious, and the risks should be considered carefully,” explains Maby. “AI can have biases that directly thwart the mission of the institution. It is also a new technology, and its promise still outweighs its results.”

In its Prioritize AI Use Cases for Education blueprint, Info-Tech underscores the critical importance of identifying and understanding the relevant AI use cases that can address organizational challenges. The firm advises IT leaders in the industry to carefully evaluate the value of potential use cases by considering the following key factors:

Technology: Evaluate the foundational technology that powers the use case, understanding the tools and systems required for successful implementation.Benefits: Assess the specific value the use case brings to the organization, including improvements in efficiency and decision-making capabilities.Risks: Consider the potential risks involved in adopting the technology, including issues related to data security, integration challenges, and organizational readiness.Feasibility: Determine the practicality of implementing the use case within the education sector, factoring in its prevalence and proven success in similar organizations.Capabilities: Define the organization’s capabilities, which are shaped by the interaction of its people, processes, and technology. This process ensures the use case aligns with the institution’s ability to execute it effectively.Value Streams: Identify how the use case fits within the organization’s value streams, which are its core capabilities organized around delivering value to its stakeholders, whether students, faculty, or staff.Industry: Consider whether the use case is applicable to both higher education and K-12 institutions or if it is more suited to one sector over the other.

An AI use case involves applying artificial intelligence to a specific organizational function or capability, with the goal of driving value and addressing challenges unique to that industry. Info-Tech advises that by leveraging the insights outlined in this blueprint, IT leaders can help educational institutions adopt best-in-class digital use cases and develop robust implementation roadmaps that maximize value creation and lead to meaningful improvements.

For exclusive and timely commentary from Mark Maby, an expert in the educational sector, and access to the complete Prioritize AI Use Cases for Education blueprint, please contact pr@infotech.com.

About Info-Tech Research Group
Info-Tech Research Group is one of the world’s leading research and advisory firms, proudly serving over 30,000 IT and HR professionals. The company produces unbiased, highly relevant research and provides advisory services to help leaders make strategic, timely, and well-informed decisions. For nearly 30 years, Info-Tech has partnered closely with teams to provide them with everything they need, from actionable tools to analyst guidance, ensuring they deliver measurable results for their organizations.

To learn more about Info-Tech’s divisions, visit McLean & Company for HR research and advisory services and SoftwareReviews for software buying insights.

Media professionals can register for unrestricted access to research across IT, HR, and software and hundreds of industry analysts through the firm’s Media Insiders program. To gain access, contact pr@infotech.com.

For information about Info-Tech Research Group or to access the latest research, visit infotech.com and connect via LinkedIn and X.

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SOURCE Info-Tech Research Group

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