Latest news with #Fortran
Associated Press
4 days ago
- Business
- Associated Press
Fortran Corporation Announces 2nd Quarter Earnings for 2025
HICKORY, N.C. - August 13, 2025 ( NEWMEDIAWIRE ) - Fortran Corporation (OTC: FRTN) Fortran Corporation (the 'Corporation ) is pleased to announce the 2nd quarter earnings of 2025. CEO & President Kent Greer stated, 'Our strong 2nd quarter performance demonstrates that our organization has forward and sustained momentum in the telecommunications business. With strong sales and AI becoming more of our core business, we will continue to move forward, setting new benchmarks within our operating companies.' About Fortran Corporation: Fortran Corporation is a telecommunication system integrator dedicated to designing, implementing and maintaining complex telecommunications solutions focused on cloud based and AI services. Fortran is comprised of engineering and design, network services, sales, remote monitoring, and on-site service. For more information, contact us at: [email protected]. Visit us at Safe Harbor Statement Under the Private Securities Litigation Reform Act of 1995 Statements and information contained in this communication that refer to or include Fortran's estimated or anticipated future results or other non-historical expressions of fact are forward-looking statements that reflect Fortran's current perspective of existing trends and information as of the date of the communication. Forward looking statements generally will be accompanied by words such as 'anticipate,' 'believe,' 'plan,' 'could,' 'should,' 'estimate,' 'expect,' 'forecast,' 'outlook,' 'guidance,' 'intend,' 'may,' 'might,' 'will,' 'possible,' 'potential,' 'predict,' 'project,' or other similar words, phrases or expressions. Such forward-looking statements include but are not limited to. It is important to note that Fortran's plans, objectives, expectations and intentions are not predictions of actual performance. Actual results may differ materially from Fortran's current expectation depending upon a number of factors affecting Fortran's business. Factors that could cause or contribute to such differences include, but are not limited to, fluctuation in operating results, the ability of Fortran to compete successfully and other events. These factors also include, among others, the risks associated with the ongoing COVID-19 pandemic and related public health measures on its business, customers, markets and the worldwide economy: the inherent uncertainty associated with financial and other projections: the anticipated size of the markets and continued demand for Fortran's products: the impact of competitive products and pricing: changes in generally accepted accounting principles: successful compliance with governmental regulations applicable to Fortran's facilities, products and/or businesses; changes in laws, regulations and governmental policies: the loss of key senior management or staff: and other events factor and risks previously and from time to time disclosed in Fortran Corporation's filings with the OTC Markets Group Inc. including, specifically, those factors set forth in any 'Risk Factors' section contained in such filings. Kent Greer 828-324-4611 [email protected] View the original release on
Forbes
24-06-2025
- Science
- Forbes
Bringing Physical AI Robotics: Is It Time For The Jetsons Yet?
circa 1962: Cartoon family the Jetsons, comprised of George, Jane, Judy, Elroy, and Astro, flying ... More in a space car in a space age city, in a still from the Hanna-Barbera animated television show, 'The Jetsons'. (Photo by) To some of us, the rollout of artificial intelligence is fairly reminiscent of the last technology shift with personal computers, small devices and deterministic programming. I'll explain. If you recall in the 1980s in 1990s, as we were seeing computer science developed with languages like Fortran and Basic, the dreamers among us saw how these things could easily be tethered to robotic systems. You could make some kind of physical avatar, like a snail or a little car, move in different directions. You could get robotic arms to pick things up… So it was surprising to some of us that those sorts of applications never really took on. Computing stayed in the digital realm, where it seemed to belong in terms of computer consumer applications. Now in business, robotics took off in a big way, and that's still happening. But on the consumer side, we never really got used to the idea that robots could do human labor. With AI, we stand on the brink of the next piece of what you might call the fourth industrial revolution, where we start to contemplate how smart machines could move around and do things for us, like washing the dishes, or helping a loved one to and from the toilet. In some ways, it comes at the perfect time, as people are worried about underpopulation and a lack of caregiving labor, not to mention all sorts of other economic and labor problems related to things like housework. Could AI solve all of this? I think we all agree that the technology is here. The question is how it will get done. The Fourth Industrial Revolution Some experts talk about characterizing this technology transformation in ways that suggest that robotics are coming sooner rather than later. 'The Fourth Industrial Revolution is … not a prediction of the future, but a call to action,' writes Klaus Schwab in an essay on the subject. 'It is a vision for developing, diffusing, and governing technologies in ways that foster a more empowering, collaborative, and sustainable foundation for social and economic development, built around shared values of the common good, human dignity, and intergenerational stewardship. Realizing this vision will be the core challenge and great responsibility of the next 50 years.' It does seem like referring to the prior industrial revolution, and how AI builds on that, is a good way to frame it. Researching Robotics Some sciences are taking a technical approach to measuring the development of robotics. Here's a paper where scientists discuss some of this method – they're actually taking manufacturing information and other sources to come up with some kind of synthesis. 'The spread of robots and artificial intelligence has raised concerns about automation technology-driven innovation,' authors write. 'This paper investigates the role of robots as a source of unconventional innovation and empirically analyzes the relationship between robots and firm innovation from unconventional and sustainable perspectives. We build a unique dataset containing detailed information on firm characteristics with firms' patent data and merge it with data on robot adoption in Chinese manufacturing.' Presumably, we'll need more of this to really understand what robotics is doing in our markets. Body and Brain I want to go to something that my colleague Daniela Rus said in a recent IIA panel about just this particular thing – physical AI and robotics. 'In order to have a functional robot, you really need to have a good body, and you need to have a good brain,' she explained. 'The brain controls the body to deliver its capabilities … right now, from the point of view of the hardware, we still don't have all the sensors that are needed in order to get the robots to do more than navigate the world. So if we want the robots to do interaction in the world, we need better sensors (for) navigation.' I think that's very on point, and a good way to think about all of this. More Thoughts on Physical AI Rus was part of a panel discussing all of the ways that we can facilitate the advent of robotics endowed with AI capabilities. 'It turns out that it's frustratingly difficult to develop a robot with what I would call 'AI spatial understanding,'' said panelist John Leonard. 'A lot of our AI approaches are based on human-annotated data sets … Facebook/Meta has a data set technique trained on a billion images. That's not how children learn. I think that navigation and exploring the world lends itself to robots that can learn from their own experience, from much smaller numbers of samples of data, exploiting the kind of spatial, temporal context of the data that they acquire.' Talking about something called the Moravec paradox, considered by Minsky and others (see definition here), Leonard suggested we need a sort of 'language of physics' to facilitate the robot boom. Panelist Thomas Baker had this to say about robot operations: 'If I send a robot to a planet, can I say, hey, build a house? Does it understand what it needs? Does it understand the materials that are around it? Does it understand how to construct everything necessary, to then build what's necessary, and then handle dust storms and radiation and whatnot? So the problem expands quite a bit.' Caleb Sirak talked about the impact of such physical systems, asking: 'How do we take the more efficient architectures that we know, the computations in AI, matrix multiplication … how do we take that, and apply that onto a chip that we can produce at scale from anywhere around the world, and then provide that to people that need to use it, and typically in AI, how do we do that at a fast enough speed that we can get it in real time?' The result, he noted, has a big effect. 'That's been a tremendous impact in all around the world, in rural countries,' Sirak said, 'and seeing that drones are being able to deliver medicine and be able to fly autonomously is incredible. And seeing that we're able to distribute this around the world is really powerful.' Panelist Annika Thomas talked about her experience using AI in a rapidly changing era. 'I went to undergrad at the time where we didn't have ChatGPT,' she said. 'Learned a lot during that time, but I also learned how to interpret information faster, and that's something that I want to be able to teach our robots to do as well. I want our robots to be able to parse through the spatial environment and figure out what information is most important to keep, especially when we're looking at these things from a multi-agent setting.' The panel also took questions, and discussed other aspect of this phenomenon - check out the video for more. Robots in our World Once again, we're invited to think about what this will actually look like. Back in the 1980s, we had the Jetsons – a cartoon with flying cars, robot maids, and all kinds of high-tech gee-whiz gizmos that we've never seen actually manufactured for our homes. Will that change? Stay tuned.
Associated Press
03-04-2025
- Business
- Associated Press
Fortran Corporation Announces Conversion of Debenture & Acquisition Completion
NEWMEDIAWIRE) - Fortran Corporation (OTC: FRTN) (the 'Corporation ) is pleased to announce that a Convertible Debentures holder has converted its debenture initially issued on November 1, 2019 for Common stock shares. 'The conversion of this debenture is an exciting milestone for the Company, as we continue to execute on our aggressive growth strategy. The conversion of the debentures further strengthens our balance sheet, eliminates the interest payments associated with the debentures, and simplifies our debt structure,' said Kent Greer, President and CEO of Fortran Corporation. Also, Fortran Corporation has completed the 100% acquisition of Intech Systems of South Carolina. Greer stated, 'This strategic acquisition marks an exciting chapter in our story, one that promises enhanced capabilities, expanded resources, and a wider range of solutions to meet our customers evolving needs.' About Fortran Corporation: Fortran Corporation is a telecommunication system integrator dedicated to designing, implementing and maintaining complex telecommunications solutions focused on cloud based and AI services. Fortran is comprised of engineering and design, network services, sales, remote monitoring, and on-site service. For more information, contact us at: [email protected]. Safe Harbor Statement Under the Private Securities Litigation Reform Act of 1995 Statements and information contained in this communication that refer to or include Fortran's estimated or anticipated future results or other non-historical expressions of fact are forward-looking statements that reflect Fortran's current perspective of existing trends and information as of the date of the communication. Forward looking statements generally will be accompanied by words such as 'anticipate,' 'believe,' 'plan,' 'could,' 'should,' 'estimate,' 'expect,' 'forecast,' 'outlook,' 'guidance,' 'intend,' 'may,' 'might,' 'will,' 'possible,' 'potential,' 'predict,' 'project,' or other similar words, phrases or expressions. Such forward-looking statements include, but are not limited to, statements about the belief that the acquisition of Intech Systems of South Carolina will increase Fortran's market share in the Southeast and add revenue that will enhance its bottom line numbers, and Fortran's expectations that it will complete the acquisition of Intech Systems of South Carolina before March 31, 2025. It is important to note that Fortran's plans, objectives, expectations and intentions are not predictions of actual performance. Actual results may differ materially from Fortran's current expectation depending upon a number of factors affecting Fortran's business. Factors that could cause or contribute to such differences include, but are not limited to, fluctuation in operating results, the ability of Fortran to compete successfully and other events. These factors also include, among others, the risks associated with the ongoing COVID-19 pandemic and related public health measures on its business, customers, markets and the worldwide economy: the inherent uncertainty associated with financial and other projections: the anticipated size of the markets and continued demand for Fortran's products: the impact of competitive products and pricing: changes in generally accepted accounting principles: successful compliance with governmental regulations applicable to Fortran's facilities, products and/or businesses; changes in laws, regulations and governmental policies: the loss of key senior management or staff: and other events factor and risks previously and from time to time disclosed in Fortran Corporation's filings with the OTC Markets Group Inc. including, specifically, those factors set forth in any 'Risk Factors' section contained in such filings.
Forbes
20-03-2025
- Entertainment
- Forbes
More On Vibecoding From Ethan Mollick
Just yesterday, I mentioned Andrej Karpathy, who made some waves with his recent X post talking about giving ground to AI agents to create software and write code. Then I thought about one of our most influential voices in today's tech world, MIT PhD Ethan Mollick, and I went over to his blog, One Useful Thing, to see if he was covering this new capability. Sure enough, I found a March 11 piece titled 'Speaking Things Into Existence' where Mollick covers this idea of 'ex nihilo' code creation based on informal prompting. In digging into this revolutionary use case, Mollick starts right up top with a quote from Karpathy that I think gets to the very heart of things – that 'the hottest new programming language is English.' Presumably, you could use other world languages, too, but so much of what happens in this industry happens in English, and hundreds of thousands of seasoned professionals are getting used to the idea that you can talk to an LLM in your own language, not in Fortran or JavaScript or C-sharp, but just in plain English, and it will come up with what you want. Mollick tells us how he 'decided to give it a try' using Anthropic's Claude Code agent. 'I needed AI help before I could even use Claude Code,' he said, citing the model's Linux build as something to get around. Here, Mollick coins the phrase 'vibetroubleshooting', and says 'if you haven't used AI for technical support, you should.' 'Time to vibecode,' Mollick wrote, noting that his first prompt to Claude Code was: 'make a 3-D game where I can place buildings of various designs, and then drive through the town I create.' 'Grammar and spelling issues included,' he disclaims, 'I got a working application about four minutes later.' He then illustrates how he tweaked the game and solved some minor glitches, along with additional prompts like: 'Can you make buildings look more real? Can you add in a rival helicopter that is trying to extinguish fires before me?' He then provides the actual cost for developing this new game – about $5.00 to make the game, and $8.00 to fix the bug. 'Vibecoding is most useful when you actually have some knowledge and don't have to rely on the AI alone,' he adds. 'A better programmer might have immediately recognized that the issue was related to asset loading or event handling. And this was a small project… This underscores how vibecoding isn't about eliminating expertise but redistributing it - from writing every line of code to knowing enough about systems to guide, troubleshoot, and evaluate. The challenge becomes identifying what 'minimum viable knowledge' is necessary to effectively collaborate with AI on various projects.' 'Expertise clearly still matters in a world of creating things with words,' Mollick continues. 'After all, you have to know what you want to create; be able to judge whether the results are good or bad; and give appropriate feedback.' On the part of the machines, he refers to a 'jagged frontier' of capabilities. That might be fair, but the idea that humans are there for process refinement and minor tweaking is sort of weak tea compared to the staggering capability of these machines to do the creative work. How long until model evolution turns that jagged edge into a spectacular smooth scalpel? At the same time that we're trying to digest all of this, there's another contender in the ring. A bit later in the blog, Mollick references Manus, a new Chinese AI agent that uses Claude and other tools for fundamental task management. Mollick details how he asked Manus to 'create an interactive course on elevator pitching using the best academic advice.' 'You can see the system set up a checklist of tasks and then go through them, doing web research before building the pages,' he says. 'As someone who teaches entrepreneurship, I would say that the output it created was surface-level impressive - it was an entire course that covered much of the basics of pitching, and without obvious errors! Yet, I also could instantly see that it was too text heavy and did not include opportunities for knowledge checks or interactive exercises.' Here, you can see that the system is able to source the actual content, the ideas, and then arrange them and present them the right way. There's very little human intervention or work needed. That's the reality of it. We just had the Chinese announcement of DeepSeek tanking stocks like Nvidia. What will Manus do? How does the geopolitical interplay of China and the U.S. factor into this new world of AI software development? That question will be answered pretty soon, as these technologies make their way to market. As for Mollick, he was also able to dig up old spreadsheets and get new results with the data-crunching power of AI. 'Work is changing, and we're only beginning to understand how,' Mollick writes. 'What's clear from these experiments is that the relationship between human expertise and AI capabilities isn't fixed. … The current moment feels transitional. These tools aren't yet reliable enough to work completely autonomously, but they're capable enough to dramatically amplify what we can accomplish.' There's a lot more in the blog post – you should read the whole thing, and think about the work processes that Mollick details. On a side note, I liked this response from a poster named 'Kevin' that talks about the application to teams culture: 'To me, vibecoding is similar to being a tech lead for a bunch of junior engineers,' Kevin writes. 'You spend most of your time reviewing code, rather than writing code. The code you review is worse in most ways than the code you write. But it's a lot faster to work together as a team, because the junior engineers can crank through a lot of features. And your review really is important - if you blindly accept everything they do, you'll end up in trouble.' Taking this all in, in the context of what I've already been writing about this week, it seems like many of the unanswered questions have to do with human roles and positions. Everything that we used to take for granted is changing suddenly. How are we going to navigate this? Can we change course quickly enough to leverage the power of AI without becoming swamped in its encompassing power? Feel free to comment, and keep an eye on the blog as we head toward some major events in the MIT community this spring that will have more bearing on what we're doing with new models and hardware setups.
Yahoo
12-03-2025
- Business
- Yahoo
Positron Networks Announces 90 Days of Free Access to Project Robbie for Researchers, Educators, and Organizations
In Response to the Funding Crisis Project Robbie is Free for 90 Days SEATTLE, March 12, 2025--(BUSINESS WIRE)--Positron Networks is expanding access to their AI-powered research tools by offering 90 days of free access to Project Robbie, the advanced AI and machine learning platform. This decision was based on supporting researchers, educators, and organizations by removing financial barriers and providing powerful computational resources at a time when research funding is increasingly uncertain. "Advancing research and education requires access to reliable and scalable computing power," said Sid Rao, CEO of Positron Networks. "With funding limitations making it difficult for researchers and students to train models and conduct large-scale experiments, Project Robbie is happy to offer 90 days of free access to help bridge the gap and accelerate innovation." Project Robbie is a high-performance cloud computing service designed to automate AI and machine learning GPU workloads, which allows users to train models seamlessly. In response to the ongoing funding crisis, Positron Networks is making Project Robbie available at no cost for 90 days to public researchers, government agencies, universities, and nonprofits. This offer allows access to high-performance GPUs and an intuitive platform that eliminates the need for complex cloud setup and can support multiple programming languages, including Python, Fortran, and MATLAB. Project Robbie is a token-based access system that allows users to easily run AI and machine learning experiments without requiring extensive IT or cloud expertise. The ongoing funding crisis has placed a significant strain on universities and public research labs, many of which rely on federal grants and institutional support to continue their work. The recent policy changes and budget cuts have led to hiring freezes, grant terminations, and increased uncertainty for researchers at all levels. Scientists across the country have voiced concerns about how these shifts are threatening innovation, from biomedical breakthroughs to climate science and artificial intelligence advancements. By offering free access to Project Robbie, Positron Networks aims to offer researchers a stable resource during these unpredictable funding times. University researchers and students can leverage Project Robbie for complex AI and machine learning experiments, while educators and institutions can incorporate real-world AI applications into their curricula. Nonprofit and government organizations can use the platform's advanced computing power to support data-driven projects, and independent researchers working outside large institutions are encouraged to apply. Project Robbie's free 90-day access is available to individuals and organizations with an EDU, GOV, or ORG email address. Users can sign up for free access by completing the application form HERE before receiving their access token. In exchange for free access, Positron Networks requests feedback and usage data to improve the platform and better serve the research and education communities. To apply for free access or to schedule a demo, visit View source version on Contacts Siddhartha Raosrao@ 113 Cherry St #31178Seattle, WA 98104-2205 Sign in to access your portfolio
