Podcasts about starmind

On this episode of Beyond The Benchmark, we dive into the mind of a remarkable neuroscientist, Pascal Kaufmann. His academic prowess ranges from ancient Greek and Latin studies to his groundbreaking exploration of the connection between brains and robots. Pascal's ventures StarMind and Mindfire are pushing the boundaries of artificial intelligence and crowdsourcing in an effort to understand the complexities of the human brain.We then shift gears to discuss the innovative approach Pascal employs to identify talent. Through challenges and engaging games, like the one from Lab42, he's able to attract the best minds. We also reflect on the crucial role of a dynamic team in retaining talent and the potential fallout that failing organizations face when they lose their top performers.Finally, we gaze into the future, exploring career predictions and the role of AI in shaping them. Pascal provides his insights on Large Language Models (LLMs) and the potential disruption they could bring to various industries. We discuss the ongoing race for AI dominance and how breakthroughs are not just about faster computers but innovative ideas and talent. Passion and a strong mission, Pascal believes, are the keys to staying ahead.(0:00:03) - Neuroscientist Discusses Mindfire and Starmind(0:12:46) - Attracting Talent Through Gaming and Challenges(0:18:30) - Monetizing AI and Data Limitations(0:27:46) - AI and Future Career Predictions(0:38:14) - Monitoring Progress and Future SuccessOur host, Moz Afzal:https://bit.ly/31XbkTROur guests:Pascal Kaufmann, Neuroscientist-turned-Entrepreneur, Founder and CEO:https://pascalkaufmann.ch/EFGAM:https://www.newcapital.com/Important disclaimersThe value of investments and the income derived from them can fall as well as rise, and past performance is no indicator of future performance. 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Starmind is AI for humans: whether for your corporate employees or your community members, we build cutting-edge AI infused with neuroscience so your organization can leverage its collective human intelligence for business-critical work.

In today's episode with Patrick Trümpi, CSO at Unique, you will learn1. Why a multichannel sales strategy is most effective for your B2B business2. How to successfully conquer the path of becoming a successful thought leader on LinkedIn3. How to effectively differentiate and stand out from the competition as a B2B sales organizationAbout PatrickPatrick is an ambitious sales leader, always looking to help others. He applied for a B2C sales position while studying economics, not knowing what he was getting into. After 4 years, he had set up and sold a regional office of the Schweizer Vermögensberatung. Thereafter, he joined the rapidly growing CH startup Starmind and spent the next five years there, with the last year as VP Sales responsible for the US business. Today, he heads the sales department of Unique, co-hosts the B2B Startup Sales Podcast, and serves as Sales advisor and mentor. Patrick loves a day riddled with habits, as he gets up early in the morning, reads books, journals, makes cold calls, goes running, and meditates. His first priority is friends and family, so "working" until 60 is out of the question.About UniqueThe Unique platform reinvents sales for the era of remote working and beyond. We believe that there are winning moments in every customer conversation. Unique is there to capture key moments of insight and connection during video calls and coach you to the most effective customer engagement. About the host PabloPablo is a continuous learner with excellent people skills and a very driven can-do attitude. Finding the right solutions and helping clients to grow is his top priority and enables him to build strong business relationships. Prior to working at SAWOO, Pablo founded his own Startup and worked for many years in different positions to widen his understanding of Sales & Business Development.Shownotes Find Patrick on LinkedIn(https://www.linkedin.com/in/patrick-tr%C3%BCmpi-663a3682/)Reach out to Patrick via Patrick@unique.ch or +41 789198890Patrick's B2B Startup Sales Podcast(https://anchor.fm/thesalesplaybook)Patrick's company Unique(https://www.unique.ch/)Patrick's favorite business books: How to win friends and influence people by Dale Carnegie (https://www.amazon.com/How-Win-Friends-Influence-People/dp/0671027034)The 7 habits of highly effective people by Stephen R. Covey(https://www.amazon.com/Habits-Highly-Effective-People-Powerful/dp/1982137274/ref=sr_1_1?dchild=1&keywords=The+7+Habits+of+Highly+Effective+People&qid=1632705057&sr=8-1)Patrick's favorite business leader: John McMahon, Board Member at Snowflake and MongoDB and Author(https://www.linkedin.com/in/johnmcmahon1/)

Vijay Viswanathan is a SaaS marketer with a technical background. He's spent the past decade in 3 high-growth, early-stage startups, leading distributed marketing teams. Specifically, he's held VP Marketing position at Starmind and the CMO post at Goodwall along with others. Vijay spent the first 25 years of my life studying, living, and working around the world, including a decade in the US and 8 years in Latin America. Currently based in Zurich. Vijay also host a podcast called On Path Podcast where you hear behind-the-scenes of what got professionals in the technology sector to where they are today. In this episode we cover 1) Vijay's professional journey and the two sabbaticals he's taken 2) The value in sabbaticals and if they are for everyone 3) Is personal growth selfish? 4) Foundational knowledge and habits in our professional and personal lives.

Organizations today face a common challenge – ensuring they have the talent to deliver on business objectives in a fast-changing business environment. AI platforms such as Starmind allow organizations to identify subject matter experts across the enterprise and access employee knowledge based on skill and expertise profiles. APQC’s Elissa Tucker talks to Stefan Gass, Starmind’s Chief Marketing Officer and Head of Growth about how Starmind builds real-time skills profiles that are accurate and complete and allow organizations and employees to prepare for and respond to evolving business needs.   Remember to follow APQC on Twitter @apqc!  

KI wird die Welt verändern. Heute schon leistet KI viel, etwa in der Medizin, in der Spracherkennung, in der Erkennung von Mustern aus riesigen Datensätzen. "Noch nicht wirklich intelligent", sagt dazu der Neurowissenschafter und KI-Unternehmer Dr. Pascal Kaufmann. Noch ist KI vor allem eine enorme Rechenleistung, die Statistiken auswertet. Dazu ist sie auf ungeheure Datenmengen angewiesen. Weitere Hürden zur wirklich intelligenten Maschine: Sie erzeugt Ergebnisse, die niemand nachvollziehen kann (Black Box Problem). Zudem perpetuiert sie Vorurteile. Menschliche Intelligenz braucht sehr wenig Daten, um einen Sachverhalt zu erfassen: Wenn ein Kind einmal eine Katze sieht, weiss es, was eine Katze ist. KI braucht dafür Millionen von Katzenbildern.Pascal Kaufmann setzt daher auf die Erforschung des "Brain Code": Er geht davon aus, dass unser Gehirn nach ein paar wenigen einfachen Regeln funktioniert. Wenn wir diese Regeln verstehen, werden wir KI bauen können. Er vergleicht es mit einem Fluggerät: Wir müssen keine Vogel-Flügel nachbauen - wir mussten lediglich das Prinzip des Flügels verstehen lernen.Der Neurowissenschafter Pascal Kaufmann und der Zukunftsforscher Georges T. Roos über eine faszinierende und herausfordernde Zukunft. 

1' Vijay's story 3' Why Vijay is on a one-year sabbatical 6' Urgency vs. importance 10' Founders: The most important trait looking for the first sales/marketing hire 14' What should or should not be outsourced in marketing 19' KPIs 25' What channels Vijay would go about first as a BtoB startup 35' Recent changes in BtoB marketing 37' Top skills needed in marketing

Many organizations still struggle to understand what their employees know and connect colleagues to share expertise. AI platforms such as Starmind can close this gap by analyzing data across enterprise systems to continually uncover hidden knowledge and skills. In this podcast, APQC’s Lauren Trees talks to Eric Storm, Starmind’s Vice President for North America, about how Starmind identifies knowledgeable people within the workforce and then routes questions to the employees best suited to answer them.   Learn more at apqc.org

"At the beginning of my career, HR was looked at as a necessary evil. Now it's completely flipped to where HR is the driving force for how companies grow and expand." Eric Storm, Starmind We're Only Human - Episode 92 Skills are the currency of business. Research shows that in the 1980s, 85%+ of organizational value was in tangible assets (property, facilities, equipment, etc.) Today, that has shrunk to just 15% or less, and the rest of value is in intangible assets (ideas, capabilities, intellectual property, etc.) Skills are a key part of organizational value, but very few companies know the skills inside the business well enough to leverage their value. In this interview with Starmind, Ben digs in with Eric Storm to understand how the firm offers employers a way to identify, understand, and leverage the skills of the workforce.  To learn more about Starmind, visit http://starmind.ai  Also, check out episode 24, which Ben references during the show: https://upstarthr.com/the-secret-to-great-team-performance-may-surprise-you-podcast/ 

1' How Antoine got from a Hotel School into Tech Sales 5' What Antoine likes most about sales: Andrenaline, human contact, and pressure 8' When is the Adrenaline pike in a sales cycle and why it matters 11' How COVID impacted sales 13' When you should mention price in sales 14' why mimicking is important and what to do about it 21' Why you should talk openly about your competition 23' What are key traits to look for in salespeople 27' Why sales is not for everyone 34' What makes a good closer and why it is important 40' Tactics to shorten the sales cycle

O Onda Rabiscada vai ao ar, toda quinta-feira às 16H15, na Rádio UFMG Educativa durante o programa Expresso 104,5 104,5FM ou www.ufmg.br/radio O Sunça, é um publicitário, rtv e cartunista. Mestre e Doutorando em auto-sabotagem desde 1986. Se imagina com o charme de Don Draper, a visão de Walt Disney, o talento de Morris e...

Pascal Kaufmann ist ein Visionär auf dem Gebiet der Künstlichen Intelligenz. Aber nicht nur das. Er auch Hirnforscher, Unternehmer und Gründer einer gemeinnützigen Stiftung, die eine Art NASA für KI werden möchte. In dieser Episode sprechen wir darüber, wie ein Gehirn für Unternehmen funktioniert und wie sein Unternehmen Starmind diese Technologie einsetzt. Im zweiten Teil des Interviews spricht Pascal über den Weg zu einer menschenähnlichen KI und welche Schlüsselrolle die Hirnforschung dabei spielt. ###Über Pascal Kaufmann: Pascal ist Neurowissenschaftler, Gründer und Visionär von Starmind. Ebenfalls steht er hinter dem Schweizer Mindfire Programm, das darauf abzielt, menschenartige künstliche Intelligenz zu schaffen und die Grenzen des Unbekannten zu erweitern. Fasziniert von Robotern, Cyborgs, künstlicher Intelligenz und Gehirnforschung, erforschte der KI Tech Unternehmer die Schnittstelle zwischen lebenden Gehirnen und Robotern an der Chicago Medical School in den USA, wo er seine Vision "mit 1'000 Gehirnen gleichzeitig denken" entwickelte. ###Pascal wird an der AI in Business Konferenz teilnehmen und einen Vortrag über "Die Zukunft menschlicher Intelligenz – Die Symbiose von Mensch und Maschine" halten. Mehr Infos auf: https://ai-zurich.ch/speaker-pascal-kaufmann/ ###Kapitelmarken (00:00) Intro (01:17) Welches Problem löst Starmind? (02:40) Wie funktioniert ein Gehirn für Konzerne? (07:42) Ab welcher Organisationsgröße kann man die Technologie einsetzten? (08:06) Wie erfolgreich ist die Technologie? (09:26) Wie kann man die Technologie mit Augmented Reality kombinieren? (12:06) Welches Ziel verfolgt Starmind? (13:31) Was kann die Politik tun, um eine menschenähnliche KI zu ermöglichen? (14:32) Was kann jeder von uns tun, um eine menschenähnliche KI mitzugestalten? (15:31) Wie möchte Mindfire den Brain Code knacken? (16:28) Wo stehen wir als Menschheit bei Thema KI? (18:10) Wie könnte die Zukunft mit einer menschenähnlichen KI aussehen? (19:07) Wieso sind gerade junge Menschen wichtig um eine menschenähnliche KI zu entwickeln? (21:05) Welche Bücher empfiehlt Pascal? ###Shownotes Pascal Kaufmann (http://bit.ly/2RpTLHF) Fabian Merkel (http://bit.ly/2RREePM) Starmind (https://www.starmind.ai/) Mindfire (https://mindfire.global/) Sonova (http://bit.ly/2tNVbCM) Technologische Singularität (http://bit.ly/36jNDFe) From Neuron to Brain, John G. Nicholls et al. (http://bit.ly/2RO8jzT) Principles of Neural Science, Eric R. Kandel et al (https://amzn.to/2tQQTun)

Fabienne Doerig is COO and CFO of Starmind in Zurich. In this episode, she covers: - What she found to be the biggest learning curve in moving from the big 4 to a commercial business - The goal of Starmind's AI model - Why Switzerland is a good place to form a start-up The EMEA Recruitment Podcast with Paul Toms and Jenny Callum will take you through every aspect of recruitment. Looking at both sides of the process, Paul and Jenny will be offering career-changing advice to the job-seeker and essential exposure to recruitment ‘best practice’ for the hiring employer, giving each party an insight and understanding into the perspective of the other. This podcast is brought to you by EMEA - At EMEA Recruitment we are specialists in Finance, BI & Data, HR, Procurement, Supply Chain and Operations Recruitment at Middle-Management to Executive levels across Switzerland, The Netherlands and the wider EMEA & US region. With offices in Zug, Amsterdam and Nottingham our consultants are well networked and can offer knowledgeable advice within these regions. If you want to reach out to Fabienne, you can connect with her through LinkedIn on https://ch.linkedin.com/in/fabienne-doerig-960a1164 The podcast is hosted by founder of EMEA; Paul Toms and Executive Recruiter and Recruitment Marketing Specialist; Jenny Callum. To find out more about EMEA recruitment visit https://emearecruitment.eu/, follow EMEA Recruitment on LinkedIn or connect with Paul on LinkedIn at https://www.linkedin.com/in/paultomsemea/ or Jenny at https://www.linkedin.com/in/jennycallumemea/.

Pascal Kaufmann (@PascalKaufmann) is a neuroscientist-turned-entrepreneur, who founded Starmind - one of Europe’s leading artificial intelligence technology companies - and Mindfire - a foundation created to incentivize collaboration in AI research. Inc magazine mentioned Pascal in the same sentence with no other than Elon Musk and Stephen Hawking. In this episode we’ll talk about how Pascal became fascinated with artificial intelligence research, some of the experiments he worked on, what advice he has for aspiring entrepreneurs, and unique insights into Starmind. Please follow me on Instagram (https://www.instagram.com/remokyburz/), Twitter (https://twitter.com/TheRemoKyburz), and my Website (http://www.leaptakers.com/), where I post new episodes, share cool stuff & interesting articles I found, blog occasionally, and provide glimpses into my life! Show notes: 02:38 -- How Pascal got interested in the topic of artificial intelligence 05:00 -- Scientific experiments connecting brains to machines 06:30 -- Why Pascal decided to found an AI company - Starmind 08:20 -- The general state of AI & where we are at 10:15 -- Resources to get started with a career in AI 12:30 -- Tips for aspiring entrepreneurs / mistakes to avoid 14:20 -- Insights into Starmind 15:40 -- Favorite books & movies 17:30 -- Pascal’s personal advisory board / mentors 19:10 -- Hobbies & habits to take your mind-off your startup 20:00 -- Advice to fellow entrepreneurs & future leaptakers 22:50 -- Closing thoughts - Switzerland as a hotspot for AI companies Resources mentioned: * The story of Prometheus (https://en.wikipedia.org/wiki/Prometheus) * Archimedean spiral (https://en.wikipedia.org/wiki/Archimedean_spiral) * Starmind (https://www.starmind.ai/) * Mindfire (https://mindfire.global/) * Captain future (https://www.imdb.com/title/tt0122336/) * Friedrich Nietzsche (https://www.amazon.de/gp/product/0140441182/ref=as_li_qf_asin_il_tl?ie=UTF8&tag=remokyburz-21&creative=6742&linkCode=as2&creativeASIN=0140441182&linkId=dad75174fa804d5486ec32de5fb53cb2) If you're enjoying the podcast, the best way to support the show is by leaving a review on iTunes (https://podcasts.apple.com/ch/podcast/the-leap-takers-podcast/id1468975811?l=en) or your favorite podcast app. Special Guest: Pascal Kaufmann.

Pascal Kaufmann ist studierter Neurowissenschaftler und Mitgründer von Starmind. Starmind ist eine KI für Menschen: Ob für Mitarbeiter oder Community-Mitglieder, sie bauen eine hochmoderne KI, die mit Neurowissenschaften angereichert ist, damit die Organisationen von morgen ihre kollektive menschliche Intelligenz nutzen können. Unter den Kunden werden etliche Fortune 500 gezählt - mittlerweile hat Starmind drei Standorte und über 80 Mitarbeiter. Durch seine Vergangenheit in den Neurowissenschaften sieht er die Entwicklungen der künstlichen Intelligenz aus einer zusätzlich sehr spannenden Brille. Über mehrere Jahre konnte er die Gehirnstrukturen, gemeinsam mit anderen Wissenschaftlern, analysieren, um hier erste Schlüsse für einen Zusammenhang Gehirn zu Maschine zu ziehen. Müssen die Menschen wirklich ernst das Gehirn verstehen, um eine vollumfänglich intelligente Maschine zu entwickeln?Pascal hat hierzu einige Antworten! Heute entwickelt er mit Starmind ein KI-Startup mit mittlerweile 80 Mitarbeitern an drei Standorten, bei dem es darum geht, Mitarbeiter in Unternehmen mit der kollektiven menschlichen Intelligenz einer Organisation anzureichern. Eine sehr spannende Organisation, die es mit der Software schafft, bedeutendes Wissen aus der Organisation zu extrahieren für die Mitarbeiter, die die Information brauchen. Viel Spaß bei der Episode #110. ShownotesMindfire StiftungStarmind.aiLife 3.0AI Declaration - Montreal Eberhard Schöneburg Vortrag

A Faith Misplaced “There’s a good reason the first flying machines weren’t mechanical bats: people tried that, and they were terrible. - Dan Robitzski In the current AI Spring, many people and corporations are betting big that the capabilities of deep learning algorithms will continue to improve as the algorithms are fed more data. Their faith is backed by the miracles performed by such algorithms: they can see, listen and do a thousand other things that were previously considered too difficult for AI. Our guest for the third episode of the AGI Podcast, Pascal Kaufmann, is amongst those who believe such faith in deep learning is misplaced. Rather than putting his faith in deep learning and other popular methods that seek to mimic the workings of the human brain, Pascal is taking a different route to create an AGI. History seems to be on the side of Pascal. Those who sought to mimic the wings of the birds, to recreate them as they were, failed.  Even today with all of our technology, such a task will be impossible. Only after realizing that it was the profile of the wings that was important, were we able to create flying machines. Pascal’s quest to create human-level artificial intelligence can be traced back from his founding of the Mindfire Foundation, to his creation of the software company  Starmind in 2010, to his experience dissecting fish brains at the Chicago Medical School and further back still to the time he learned about the Greek Titan Prometheus. His professor specifically instructed him to not follow in the footsteps of Prometheus, to not go about creating artificial humans. So he set about to do precisely that. If he is to follow in the footsteps of the gods, Pascal must first crack the brain code. A Grey and White Matter “In one cubic millimeter of the cortex, there are nearly 100,000 neurons. That’s 100,000 microcircuits processing something. Humans have never made anything that complicated.” - Craig Forest What is the brain code? A simple and straightforward explanation the brain code would be: understanding the principles that make the brain work. To quote Pascal: “I think we should look for the principals of the brain and not try to copy and paste the brain, because that would be impossible. You can’t simulate hundreds of billions of brain cells.  You need to look for the principles, and I think we’re lagging in good principles. We are lagging in basic understanding of how the brain works. If we crack the brain code, I think we can build an artificial brain.” Pascal searches for the mechanism with which he can decipher the brain, to be able to read and speak its language and to understand its basic principles. Pascal’s quest, in short, is for the cipher of intelligence - and he knows how to find it. The Mergence of Minds We are all now connected by the internet, like neurons in a giant brain. - Stephen Hawking As the rate with which how information is shared in a society increases, so too does its technological progress. In the Renaissance Europe, the introduction of printing introduced the era of mass communication - which radically changed the evolution of its society. Telegram, Radio, Television, Cell Phones, and the Internet have massively increased the connectivity of humanity - which has resulted in an exponentially increasing rate of technological progress that will soon reach the point of technological singularity. What can we achieve if we further increase our connectivity? What if we don’t have to search for the right person to give us the information that we seek? What if we create a network that allows talents to work on ideas with the comfort of knowing that their IP and original ideas are saved on the blockchain and will be credited to them? What if such a network is used to connect the AI talents around the world? What would such a network achieve? At the core of Pascal’s quest is the Starmind based talent collaboration network. The Mindfire Network matches questions with real-time solutions from direct human input, maps the expertise within the network, creates a dynamic memory to leverage critical know-how and charts and selects talents autonomously and at a global scale. Pascal believes that the brain code is going to be cracked sooner or later, and he fears for a world where such an information is not made open source but is accessible to a privileged few. He hopes that the Mindfire Foundation will crack the brain code first, that the Mindfire Network will enable talent collaboration on a massive scale and that such a collaboration will put to work the power of thousands or hundreds of thousands of brains into decoding the human brain. Recently, SingularityNET partnered with Mindfire. As the Tech Oligopoly monopolizes the AI talent, SingularityNET can leverage the Mindfire Network to increase the collaboration of all the talent pools of open access networks that are willing to unite under the Decentralized AI Alliance (DAIA). Such a network will enable the AI talent pool of SingularityNET to find the relevant knowledge, access the right people and collaborate to create new services and solve challenges that they cannot do so alone. SingularityNET has already taken the first step to greater connectivity and communication. In SingularityNET there will be a mergence of minds. SingularityNET will allow its AI Agents to exchange information and value with each other without any barriers. As the communication networks evolve and our connectivity with each other increases, as our brains merge with the AI of the future, we would be able to transfer information to each other directly - from one brain to another. That information would include our recorded experiences, as we lived them. Which raises the question, how many AGI would you spend to experience walking on the moon? More importantly: what would we create? What’s Next? If you would like to learn more about Mindfire and how you can help, please click here. If this episode piqued your interest, we recommend that you check out the second episode of the AGI Podcast in which Dr. Julia Mossbridge explores the possibility of being loved unconditionally by an Artificial Intelligence. SingularityNET has a passionate and talented community which you can connect with by visiting our Community Forum. Feel free to say hello and to introduce yourself here. We are proud of our developers and researchers that are actively publishing their research for the benefit of the community; you can read the research here. For any additional information, please refer to our roadmaps and subscribe to our newsletter to stay informed about all of our developments. SingularityNET Releases Updated Roadmaps Providing full visibility into our progress and core milestones for SingularityNET’s network architecture.blog.singularitynet.io

Starmind © 2009 by Spider Robinson Reading: STARMIND by Spider Robinson. Music: Paul Pena, Doug Cox, Breeze Cayolle.