 If you are a MaRSDD client, you may want to attend SR&ED webinar that I am giving on Nov 12 at 12 noon.
Hello founders! Did you know that you could qualify for tax credits and/or refunds from the Canadian government for conducting scientific research or experimental development? Join us for an 1-hour webinar with Steven Cohen, CEO of Electric Effect, who has successfully claimed Scientific Research and Experimental Development (hashtag#SRED) credits 10 times. He will share his expert strategies for maximizing your claims and navigating the process effectively. What We’ll Cover: - Introduction to the SR&ED program - R&D and accounting best practices - Identifying and documenting unique intellectual property - Writing succinct SR&ED reports - Designing and tracking scientific experiments - Preparing for and negotiating with CRA SR&ED auditors - Working with consulting firms to minimize audit risks and costs - Advantages of Preparing Your Own SR&ED return - Interactive Q&A session About the speaker As the CEO and founder of Electric Effect, Steve has ten successful SR&ED submissions in software development, including ML/AI processes, Generative AI, and enterprise software development. He also has over twenty years of experience with IP analysis (identification and documentation) and analyzing and deploying best practices as they apply to SDLC and IT operations. Currently, Steve is developing innovative personalization processes driven by ML/AI and Generative AI to quickly surface relevant peer content based on a researcher’s dynamic profile, and then craft a tailored summary explanation to help accelerate R&D. Electric Effect is developing these unique processes which act as digital co-pilots for research communities driven by artificial intelligence and Generative AI, through working partnerships with global researchers and in partnership with ML/AI software companies. Electric Effect has received awards and grants from NRC-IRAP, Mitacs (University of Windsor), AWS Activate, and ten successful SR&ED submissions over the past twelve years. If you are not a MaRSDD client, I can provide advice in a private Zoom consultation. Please contact me via email, [email protected]
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SMART Cloud, which is driven by ML/AI processes, now has a personalized Generative AI summary based on user profiles and behaviour. We will soon be adding personalized SMART GEN to all our products to improve user engagement and relevancy. All our ApertumX platform features are focused on delivering tailored results from data sets (private and open source), to match the viewer's profile and behaviour, and now include a personalized Generative summary explaining why the data is important to the peer researcher. We plan on adding personalized SMART GEN summaries to all our products to help guide peers as they navigate through the research papers, potential collaborators, and research organizations, adding value, speeding up review time and accelerating time to market for their R&D. A future feature we have planned is to allow peers to control the Generative prompts to deliver even better analysis, insights and summaries that are tailored to each user's exact R&D requirements.   The buzz around artificial intelligence (AI) has been covered in previous editorials.1,2 In the editorials, I discussed how it was helping create and drive data driven wound care practices. This was expanded upon in a recent editorial by Cross and Harding.3 Since these editorials were written, the buzz has certainly become louder, even if only in the public rather than the professional domain. AI has the awesome power to change the way we live our lives, in both good and dangerous ways. But are those in power prepared for what's coming, similar to where we find ourselves today with social media and any impending regulation.4 Let us hope so! Chatbots and AI-assisted search are the new buzz within the AI field. You may have heard of Chatbot-GPT and how it will revolutionise our search capabilities, even with the potential to write up our research findings. Perhaps even writing your next IWJ paper. Students and researchers, particularly where English is not their first language, are excited. Teachers, assessors and reviewers are less excited. From writing stand-up comedy scripts to poetry and even generating visual images regarded as art, AI has come a long way recently. Machines, at least to the general public, have achieved creativity.5 Regulators and governments recognise this is the emergence of an extremely powerful technology; however, it can be used for both good and bad, and as such, it will require close monitoring and possible regulatory review. One of the main dilemmas is that many of the players in AI are the major tech companies, which are currently under scrutiny regarding social media regulation. The potential downsides of AI include the automatic creation of an ocean of disinformation across multiple social media outlets. The biggest concern is not its generation, but rather that they would be entirely believable and perceived to come from legitimate accounts. Even if the government succeeds in enacting new social media regulations, this may be pointless in the face of a flood of pernicious AI-generated content.  Read the full article here on International Wound Journal
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