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H 2 O Innovation Mobile Units Boost Water Resilience

H 2 O Innovation Mobile Units Boost Water Resilience

Business Wire2 days ago

QUEBEC CITY, Quebec--(BUSINESS WIRE)--H 2 O Innovation Inc. ('H 2 O Innovation' or the 'Corporation') is proud to announce five new leasing contracts in its mobile fleet which is designed to address requirements in the drinking water, biological wastewater treatment, mining, power generation and various markets. Strategically, the rental of mobile units enables customers to achieve water supply security in critical situations, add resilience to water treatment, and solve problems without having to tie up capital. In the first few months of fiscal year 2025, the Corporation was able to capture new projects to supply mobile units comprising containerized ultrafiltration systems (FlexBox™ UF), containerized reverse osmosis systems (FlexBox™ RO) and membrane bioreactors (MBR) SILO™.
In the case of the FlexBox™ UF sent to an industrial company in Illinois, H 2 O Innovation was able to deliver the system in three days from the initial phone call from the client. The customer was extremely satisfied and has already extended to the initial rental term. " Our mobile units are excellent tactical solutions, which can be deployed both in emergency situations and on a planned basis. The delivery of this mobile unit in three days fully illustrates the agility and commitment of our teams to respond rapidly to the critical needs of our partners. The customer's satisfaction confirms the relevance of our approach and the confidence we inspire in the industrial sector," said Frédéric Dugré, President and CEO of H 2 O Innovation.
The Corporation will also supply a FlexBox™ RO for a power plant in Texas, for a period of eight months. Being able to supply both the containerized system and weekly on-site operational support is what enabled H 2 O Innovation's sales team to secure this project.
Also, the Corporation secured two mine water applications in western Canada where both a combination FlexBox™ UF and RO will be deployed. H 2 O Innovation was selected for these two projects due to its experience in past mining deployments and ability to successfully execute mobile deployments in remote cold weather regions.
Finally, the Corporation won an extension to its rental contract with a Quebec-based recreational tourism company for two membrane bioreactor SILO™ systems. The customer had initially selected H 2 O Innovation for a 1-year contract. The performance of the units has since led the client to renew the contract for an additional three years.
About H 2 O Innovation
Innovation is in our name, and it is what drives the organization. H 2 O Innovation is a water solutions company focused on providing best-in-class technologies and services to its customers. The Corporation's activities rely on five pillars: (i) Water Technologies & Services (WTS) applies membrane technologies and engineering expertise to deliver equipment and services to municipal and industrial water, wastewater, and water reuse customers, (ii) Specialty Products (SP) is a set of businesses that manufacture and supply a complete line of specialty chemicals, consumables, and engineered products for the global water treatment industry, (iii) Operation & Maintenance (O&M) provides contract operations and associated services for water and wastewater treatment systems; (iv) Water Infrastructure Development (WID) is developing WaterHubs ®, through performance financing, our turn-key projects can be designed, built and operated at no upfront capital expense to our clients, and (v) Maple and Agri-food, offering a complete line of equipment dedicated to maple syrup production and the agri-food industry. For more information, visit H 2 O Innovation.

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AI chatbots need more books to learn from. These libraries are opening their stacks
AI chatbots need more books to learn from. These libraries are opening their stacks

San Francisco Chronicle​

time35 minutes ago

  • San Francisco Chronicle​

AI chatbots need more books to learn from. These libraries are opening their stacks

CAMBRIDGE, Mass. (AP) — Everything ever said on the internet was just the start of teaching artificial intelligence about humanity. Tech companies are now tapping into an older repository of knowledge: the library stacks. Nearly one million books published as early as the 15th century — and in 254 languages — are part of a Harvard University collection being released to AI researchers Thursday. Also coming soon are troves of old newspapers and government documents held by Boston's public library. Cracking open the vaults to centuries-old tomes could be a data bonanza for tech companies battling lawsuits from living novelists, visual artistsand others whose creative works have been scooped up without their consent to train AI chatbots. 'It is a prudent decision to start with public domain data because that's less controversial right now than content that's still under copyright,' said Burton Davis, a deputy general counsel at Microsoft. Davis said libraries also hold 'significant amounts of interesting cultural, historical and language data' that's missing from the past few decades of online commentary that AI chatbots have mostly learned from. Supported by 'unrestricted gifts' from Microsoft and ChatGPT maker OpenAI, the Harvard-based Institutional Data Initiative is working with libraries around the world on how to make their historic collections AI-ready in a way that also benefits libraries and the communities they serve. 'We're trying to move some of the power from this current AI moment back to these institutions,' said Aristana Scourtas, who manages research at Harvard Law School's Library Innovation Lab. 'Librarians have always been the stewards of data and the stewards of information.' Harvard's newly released dataset, Institutional Books 1.0, contains more than 394 million scanned pages of paper. One of the earlier works is from the 1400s — a Korean painter's handwritten thoughts about cultivating flowers and trees. The largest concentration of works is from the 19th century, on subjects such as literature, philosophy, law and agriculture, all of it meticulously preserved and organized by generations of librarians. It promises to be a boon for AI developers trying to improve the accuracy and reliability of their systems. 'A lot of the data that's been used in AI training has not come from original sources,' said the data initiative's executive director, Greg Leppert, who is also chief technologist at Harvard's Berkman Klein Center for Internet & Society. This book collection goes "all the way back to the physical copy that was scanned by the institutions that actually collected those items,' he said. Before ChatGPT sparked a commercial AI frenzy, most AI researchers didn't think much about the provenance of the passages of text they pulled from Wikipedia, from social media forums like Reddit and sometimes from deep repositories of pirated books. They just needed lots of what computer scientists call tokens — units of data, each of which can represent a piece of a word. Harvard's new AI training collection has an estimated 242 billion tokens, an amount that's hard for humans to fathom but it's still just a drop of what's being fed into the most advanced AI systems. Facebook parent company Meta, for instance, has said the latest version of its AI large language model was trained on more than 30 trillion tokens pulled from text, images and videos. Meta is also battling a lawsuit from comedian Sarah Silverman and other published authors who accuse the company of stealing their books from 'shadow libraries' of pirated works. Now, with some reservations, the real libraries are standing up. OpenAI, which is also fighting a string of copyright lawsuits, donated $50 million this year to a group of research institutions including Oxford University's 400-year-old Bodleian Library, which is digitizing rare texts and using AI to help transcribe them. When the company first reached out to the Boston Public Library, one of the biggest in the U.S., the library made clear that any information it digitized would be for everyone, said Jessica Chapel, its chief of digital and online services. 'OpenAI had this interest in massive amounts of training data. We have an interest in massive amounts of digital objects. So this is kind of just a case that things are aligning,' Chapel said. Digitization is expensive. It's been painstaking work, for instance, for Boston's library to scan and curate dozens of New England's French-language newspapers that were widely read in the late 19th and early 20th century by Canadian immigrant communities from Quebec. Now that such text is of use as training data, it helps bankroll projects that librarians want to do anyway. 'We've been very clear that, 'Hey, we're a public library,'" Chapel said. 'Our collections are held for public use, and anything we digitized as part of this project will be made public.' Harvard's collection was already digitized starting in 2006 for another tech giant, Google, in its controversial project to create a searchable online library of more than 20 million books. Google spent years beating back legal challenges from authors to its online book library, which included many newer and copyrighted works. It was finally settled in 2016 when the U.S. Supreme Court let stand lower court rulings that rejected copyright infringement claims. Now, for the first time, Google has worked with Harvard to retrieve public domain volumes from Google Books and clear the way for their release to AI developers. Copyright protections in the U.S. typically last for 95 years, and longer for sound recordings. How useful all of this will be for the next generation of AI tools remains to be seen as the data gets shared Thursday on the Hugging Face platform, which hosts datasets and open-source AI models that anyone can download. The book collection is more linguistically diverse than typical AI data sources. Fewer than half the volumes are in English, though European languages still dominate, particularly German, French, Italian, Spanish and Latin. A book collection steeped in 19th century thought could also be 'immensely critical' for the tech industry's efforts to build AI agents that can plan and reason as well as humans, Leppert said. 'At a university, you have a lot of pedagogy around what it means to reason,' Leppert said. 'You have a lot of scientific information about how to run processes and how to run analyses.' At the same time, there's also plenty of outdated data, from debunked scientific and medical theories to racist narratives. 'When you're dealing with such a large data set, there are some tricky issues around harmful content and language," said Kristi Mukk, a coordinator at Harvard's Library Innovation Lab who said the initiative is trying to provide guidance about mitigating the risks of using the data, to 'help them make their own informed decisions and use AI responsibly.'

Verint Genie Bot Delivers Millions of Dollars in Business Value
Verint Genie Bot Delivers Millions of Dollars in Business Value

Yahoo

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Verint Genie Bot Delivers Millions of Dollars in Business Value

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J.W. Mays: Fiscal Q3 Earnings Snapshot
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J.W. Mays: Fiscal Q3 Earnings Snapshot

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