Katch Skills的动态

??HAVE YOUR SAY Bias in AI is not inherently negative, and there is a distinction between bias and accuracy. For example, bias can help AI systems make quick decisions by relying on patterns learned from historical data, and it allows AI to tailor recommendations and services to individual users based on their preferences. Bias is also used with different meanings in law, ethics, psychology, sociology, deep learning theory… If bias is not inherently good or bad, how do we make sense of it? ?? HAVE A SAY in defining JUST Data. This is key to help us define a system for JUST Data Annotation. JUST Data aims for a Judicious, Unbiased, Safe and Transparent #data #use to complement FAIR (Findable, Accessible, Interoperable and Reusable) data technologies. ?????Join us from June 11th - 14th, online or live in person at GoCo Health Innovation City in Gothenburg, Sweden. Register here: https://lnkd.in/gxSzbVux #AIBias #AIEthics #DataAccuracy #ResponsibleAI #AIBiasAwareness #BiasInAI #AIPatternRecognition #AIRecommendations #AIandLaw #AIandEthics #AIPsychology #AISociology #DeepLearning #UnderstandingBias JUST Data Annotation is run by Industry Commons Foundation and MTF Labs with support from Vinnova Avancerad Digitalisering in partnership with Chalmers Industriteknik GoCo Health Innovation City AFRY Antaros Medical Advokatfirman dNovo Garmin Health Innovation West Humblebee I-Tech AB, Developers of Selektope? Integrum AB Intelligent Implants, Ltd. Key2Compliance Lipigon Pharmaceuticals AB MoonLake Immunotherapeutics (NASDAQ: MLTX) Mpya Sci & Tech M?lnlycke Health Care Next step group NOLATO CERBO AB OnDosis Pretzel Therapeutics Promimic QRIOS SciLifeLab Semcon Siemens Healthineers TheVision Partner AB TreeToTextile Veranex Biocompatibility Vinngroup Volvo Cars XVIVO PERFUSION LUND AB

Publication Alert! Well done team RAMAN LAB ,Ankit Vijayvargiya, PhD, Naveen Gehlot, Ashutosh Jena, Kieran Moran, aparna Sinha Title: S-WD-EEMD: A hybrid framework for imbalanced sEMG signal analysis in diagnosis of human knee abnormality Journal: PLOS ONE In this study, , a combination of wavelet decomposition (WD) with ensemble empirical mode decomposition (EEMD) and the Synthetic Minority Oversampling Technique (S-WD-EEMD) is proposed. A hybrid WD-EEMD is considered for the minimization of noises produced in the sEMG signal during the collection, while the Synthetic Minority Oversampling Technique (SMOTE) is considered to balance the data by increasing the minority class samples during the training of machine learning techniques. https://lnkd.in/gbhKPG-R

??HAVE YOUR SAY The AI Act now contains an entire new chapter called measures in support of innovation. These measures include alleged innovation facilitators such as AI regulatory sandboxes, exceptions for further processing of personal data for developing certain AI systems in the public interest, testing of high-risk AI systems in real world conditions, and measures for providers and deployers, in particular SMEs, including start-ups, as well as derogations for specific operations. But is this sufficient and what role do co- and self-regulatory mechanisms have to play in AI governance? ?? HAVE A SAY in defining JUST Data. This is key to help us define a system for JUST Data Annotation. JUST Data aims for a Judicious, Unbiased, Safe and Transparent #data #use to complement FAIR (Findable, Accessible, Interoperable and Reusable) data technologies. ?????Join us from June 11th - 14th, online or live in person from GoCo Health Innovation City in Gothenburg, Sweden. Register here: https://lnkd.in/gsiGhR_4 #AIRegulation #AIGovernance #AIAct #InnovationFacilitators #RegulatorySandboxes #AISystems #PublicInterest #AIInnovation #AIStartups #SMEs #SelfRegulation #AICompliance #AIIndustry #AIDevelopment #AIRegulations JUST Data Annotation is run by Industry Commons Foundation and MTF Labs with support from Vinnova Avancerad Digitalisering in partnership with Chalmers Industriteknik GoCo Health Innovation City AFRY Antaros Medical Advokatfirman dNovo Garmin Health Innovation West Humblebee I-Tech AB, Developers of Selektope? Integrum AB Intelligent Implants, Ltd. Key2Compliance Lipigon Pharmaceuticals AB MoonLake Immunotherapeutics (NASDAQ: MLTX) Mpya Sci & Tech M?lnlycke Health Care Next step group NOLATO CERBO AB OnDosis Pretzel Therapeutics Promimic QRIOS SciLifeLab Semcon Siemens Healthineers TheVision Partner AB TreeToTextile Veranex Biocompatibility Vinngroup Volvo Cars XVIVO PERFUSION LUND AB

?? Heading to Slush? Grab this chance to meet some of our fantastic founders - true trailblazers that are transforming industries with cutting-edge solutions: ? Karl from DTE DTE is a pioneering force for the metals industry. Their technology empowers clients to meet industry demands for efficiency, safety, and sustainability by replacing outdated methods with real-time, in-process data and AI-driven predictive maintenance solutions that enhance both quality and productivity. ? ósvaldur from Laki Power Laki Power is all about power grid resilience. Their unique line-powered solutions provide real-time monitoring and data in order to optimize grid capacity and reduce the risk of outages. Laki Power is working with operators around the globe to build stronger and smarter grids. ?? Tommi from Hedera Dx Hedera Dx is on a mission to provide the next billion people with access to modern cancer care. Specializing in clinic-ready, NGS-based liquid biopsies their solutions enable non-invasive diagnosis, timely treatment selection, and longitudinal disease monitoring. If you're at Slush, don't miss the chance to connect with these extraordinary founders shaping the future of their respective industries! ?? Drop us a message to set up a meeting or connection Marta Hermannsdottir, Kristinn Pálmason #Slush2024 #Startup #VC #Innovation #Investors

??HAVE YOUR SAY Initiatives like?Fairly Trained?have launched certification programmes to address the growing divide between generative AI companies which get the consent of training data providers, and those who don’t, claiming they have no legal obligation to do so. But how to deal with companies that not only scrape data indiscriminately but also do not follow responsible curation and annotation practices? What does it mean for a company to be JUST? Could this be a competitive advantage in a world of laissez-faire data scraping of both personal and non-personal data for the purpose of training AI models? ?? HAVE A SAY in defining JUST Data. This is key to help us define a system for JUST Data Annotation. JUST Data aims for a Judicious, Unbiased, Safe and Transparent #data #use to complement FAIR (Findable, Accessible, Interoperable and Reusable) data technologies. ?????Join us from June 11th - 14th, online or live in person from GoCo Health Innovation City in Gothenburg, Sweden. Register here: https://lnkd.in/gsiGhR_4 #FairAI #DataEthics #AIRegulation #ResponsibleAI #DataConsent #AICompliance #EthicalAI #FairlyTrained #AICertification #DataPrivacy #JUSTCompany #CompetitiveAdvantage #AITraining #ResponsibleDataUse JUST Data Annotation is run by Industry Commons Foundation and MTF Labs with support from Vinnova Avancerad Digitalisering in partnership with Chalmers Industriteknik GoCo Health Innovation City AFRY Antaros Medical Advokatfirman dNovo Garmin Health Innovation West Humblebee I-Tech AB, Developers of Selektope? Integrum AB Intelligent Implants, Ltd. Key2Compliance Lipigon Pharmaceuticals AB MoonLake Immunotherapeutics (NASDAQ: MLTX) Mpya Sci & Tech M?lnlycke Health Care Next step group NOLATO CERBO AB OnDosis Pretzel Therapeutics Promimic QRIOS SciLifeLab Semcon Siemens Healthineers TheVision Partner AB TreeToTextile Veranex Biocompatibility Vinngroup Volvo Cars XVIVO PERFUSION LUND AB

David Fajgenbaum, MD, MBA, MSc is a physician who found his own cure. He also pioneered THE most impressive use of AI in the clinical space: ???? David was a top athlete and med student when he mysteriously fell ill. He faced multi-system organ failure before being diagnosed with Castleman’s Disease, a rare disorder with little research or treatment options available. ?????????? ???????????????? ???????????? ???????????????????? ?????? ????????-?????????? ??????????????????????, ?????????? ???????? ?????????????? ???????? ?????? ?????? ??????????. He started analyzing his own blood, discovering a key disease pathway, and used an off-label drug targeting this pathway. ???????? ???????? ?????????? ?????? ????????. Inspired by his survival, David now fights for other patients with rare diseases. His story is a testament to turning hope into action and taking bold steps when conventional medicine falls short. Every Cure, a nonprofit David supports, aims to unlock the full potential of existing medicines. ???? ???????????????????????????? ?????????????????????? ???????? ?????????????????????? ??????????????????????????, ???????? ???????? ???? ???????? ?????????? ?????????????????????? ?????? ??????????????????????. Every Cure's comprehensive, open-source data engine quantifies drug-disease connections. Partnering with academia, industry, and government, they aim to validate and bring new treatments to patients quickly. David Fajgenbaum's story and Every Cure’s mission serve as inspiring examples of innovation and determination in the medical field. They offer hope and actionable solutions for those battling rare diseases. _______ Find this valuable? Repost to share with others ?? And follow?Penelope Lafeuille?for more on Health + Tech

Supporting our OWASP meetup. What a great event at Axonius thank you for hosting us at your offices. Axonius is an elite company with elite talent from top to bottom, Great talks : ?? From Challenge to Triumph: Transforming AppSec with AI and Automated Code Reviews - A Journey of Lessons Learned Michael Goberman and Aviad Feig from Axonius did more AI innovation than most AI startups, watch for a super open-source tool they will release soon. ???Pains and advantages of application anomaly detection in containerized applications Ben Hirschberg from ARMO shows how to detect sophisticated attacks in the Kubernetes orchestration system. learned a lot Ben Hirschberg is a world expert in his field. ????The Dark Side of AI: The Hidden Risks in Open-Source AI Models Jossef H. Checkmarx sharing some attacker POV on AI attacks. friends , pizza ??, and cool tech ?? what more can you ask for :)

Tamryn Barker (谭睿) is one of my all time favourite humans?? We are super lucky to have Tamryn presenting at UWA Data Institute AI for Humanity Conference 14th June. See registration link in update below. #AI #research #robotics #futureofwork

Feel like you should be further ahead by now??? Identify the one big move to close the gap in 2025. Every business has that single, strategic pivot - the Big Domino - that, once tipped, sets off a chain reaction of success.?? Identifying this game-changer can be the difference between a year of grind and a year of exponential growth. ?? Want To Uncover Your Big Domino? Join us at the Business Breakthrough Clinic - The 'Big Domino' Workshop, where we’ll zero in on the ONE move that can transform your business trajectory in 2025. In this hands-on workshop, you’ll: ? Identify the Big Domino that will shift your game in 2025 ? Create a clear, tailored ONE-Page Big Domino Implementation Plan ? Learn how to use AI to give you an edge and speed up execution Workshop Details: ??? Date: Thursday, November 28th ?? Time: 10am - 12.30pm ?? Location: BASE Bordon Innovation Centre Don’t miss this chance to start 2025 with focus, confidence, and a strategy that makes the impact you've been aiming for. Limited to 12 seats - only 8 left! ?? Secure Your FREE Seat Now Before They’re Gone:?https://lnkd.in/e4tGp6bH See you there, Michael

?? BIOCAPITAL SUMMIT PANEL PREVIEW ?? "AI in the Life Sciences: Promise and Pitfalls" Artificial Intelligence is revolutionizing life sciences, unlocking new possibilities for diagnostics, drug discovery, and personalized medicine. But with these advancements come complex challenges. Our expert panel will explore: ??The transformative potential of AI in accelerating research and improving healthcare outcomes ??Ethical and regulatory hurdles impacting AI integration in life sciences ??Practical insights on the current impact and limitations of AI-driven solutions in life science Whether you're in biotech, healthcare, or simply curious about the future of AI in life sciences, this panel will provide critical insights into navigating both the opportunities and obstacles in this fast-evolving field. Moderator: Saif S. Rathore, MD, PhD Senior Advisor, McKinsey & Company ?Matej Macak, PhD, Partner, QuantumBlack, AI by McKinsey ?Milind Kamkolkar, MS, Partner, RA Capital ?Renee Yao, BS, Ecosystem Business Development, Healthcare Life Sciences, NVIDIA ?Christopher Ghadban, MBA, MS, Investor, The Venture Collective (TVC) Founder 1bio