What if the next generation of computers isn’t built entirely from silicon, but from living neurons?

In this episode of the Farabi Future Forum, we speak with Dr. Ewelina Kurtys of FinalSpark about the emerging world of biocomputing and wetware.

FinalSpark is exploring how living neurons can be used as part of computational systems, with the long-term goal of developing biological processors that could consume dramatically less energy than conventional silicon hardware.

We discuss how wetware computing actually works, why brain organoids are often misunderstood, how researchers interact with living neurons through electrical signals, and the challenge of teaching biological neural networks to perform meaningful computation.

We also explore:

• Why biological neurons can be far more energy efficient than silicon
• How wetware could work alongside traditional AI and machine learning
• Whether LLMs could eventually run on biological processors
• The tradeoff between speed and energy efficiency
• The challenge of scaling wetware into future bioservers
• How generative AI is already being used to help design experiments
• Funding challenges for long-term deep-tech research
• The ethical questions surrounding biological computing
• Why the future of computing may involve hybrid systems combining biology, silicon, AI, and other emerging technologies

A fascinating conversation about a field that is still in its early stages—but may eventually change how we think about computers altogether.

Farabi Future Forum explores emerging technologies, artificial intelligence, science, engineering, and the ideas shaping our future.

Every major AI system today can identify emotion. None of them can actually respond to it.Dr. Joshua Allard — quantum AI researcher, former IBM engineer, and creator of EmpathOS — joins Rabea and Ryan to explain why "sentiment analysis" has hit a ceiling, and what comes next. We get into emotional trajectories, the EKE profile (Experience, Knowledge, Emotion), configurable personas, de-escalation protocols, and why no two instances of an emotionally intelligent AI will ever behave the same way.The conversation widens into quantum supremacy, the encryption threat that's already here, a base-10 photonic architecture Dr. Allard is developing, and whether emotional AI is a bridge between the doomers and the accelerationists — or a new risk of its own.If you've been wondering where AI goes after the LLM plateau, this one's for you.

What happens when a tech-obsessed corporate lawyer decides the legal profession is stuck in the past? In this episode of Farabi Future Forum, we sit down with Dave Rosati — a 15-year practicing attorney, law firm partner, and co-founder of Succession Wills — to unpack how AI is disrupting one of the most traditional industries on earth.

Dave takes us behind the curtain of a profession still running on dictaphones and billable hours, sharing how he went from hacking together Microsoft automations as a junior associate to navigating the high-stakes tension between AI efficiency and legal liability. We dig into the real economics of replacing junior lawyers with LLMs, why the billable hour might be the biggest obstacle to AI adoption in law, and the uncomfortable truth about who's really losing work to ChatGPT right now.

Plus, Dave breaks down Succession Wills — his mission to make estate planning accessible, affordable, and actually something people keep up to date — and why the will you wrote ten years ago might be more dangerous than having no will at all.

Whether you're in legal, tech, consulting, or just curious about how AI reshapes high-stakes professions, this one's packed with insights you won't want to miss.

In this 2-hour deep-dive, Rabea Abdelwahab, Ahmed Abugharbia (SANS Institute instructor, founder of Cyber Dojo), and Ryan Fattini explore the evolving intersection of AI, cybersecurity, and open source innovation.Key topics include:The evolution of security from firewalls to cloud to AIDevSecOps and shifting security leftThe changing role of the CISO and executive risk managementAI as both a defense multiplier and an attack surfaceVibe hacking, deepfakes, and AI-powered exploitsOpen source’s role in driving innovation vs. introducing supply chain risksHugging Face, malicious AI models, and enterprise strategiesThe rise of MCP as a standard for AI agent communication and its security challengesThis podcast is for cybersecurity professionals, AI engineers, executives, and anyone interested in how AI is reshaping the security landscape.

🔗 Connect with the Hosts & Guest:

# Ahmed AbuGharbia – Cyber Security Practitioner | SANS Certified Instructor - https://www.linkedin.com/in/ahmedabugharbia/

# Rabea Abdelwahab - Farabi - CEO & Fractional CTO | AI Enablement Strategist | LinkedIn Top Voice – https://www.linkedin.com/in/rabeawahab/

# Ryan Fattini – Farabi - CDAO - https://www.linkedin.com/in/ryan-fattini-20202682

In this conversation, Ameya Karvir shares his extensive experience in data analytics and media, discussing the challenges and strategies involved in building a data-driven culture. He emphasizes the importance of balancing creativity with data insights, effective communication with executives, and maintaining data quality. Ameya also highlights the evolving role of executives in understanding data, the significance of product management in data projects, and the cultural barriers organizations face in becoming data-driven. The discussion touches on the impact of generative AI on business and the need for a clear vision to leverage its potential. In this conversation, Rabea and Ameya Karvir discuss various aspects of data science, including the importance of mentorship, managing expectations in data projects, the role of basic statistics, and the impact of generative AI on search and SEO. They also touch on decision-making in startups and share rapid-fire insights on data and technology.
Chapters00:00 Introduction to Ameya Karvir's Journey02:32 Building a Data Team from Scratch05:34 Balancing Creativity and Data in Media07:53 Communicating Data Insights to Executives10:50 The Role of Data Quality in Business Success13:27 The Evolution of C-Suite in a Data-Driven World16:31 Managing Large Teams Effectively18:55 The Importance of Data Product Management21:51 Navigating Boardroom Dynamics24:44 Demonstrating the Impact of Data Teams27:22 Cultural Barriers to Becoming Data-Driven29:58 The Role of Gut Instincts in Data-Driven Decisions45:52 The Importance of Domain Knowledge in AI49:20 Small vs. Large Companies: The Generative AI Advantage51:47 Navigating the Generative AI Landscape54:46 Mentorship and Misconceptions in Data59:44 The Underappreciated Role of Statistics01:04:41 The Future of Paid Search with Generative AI01:17:56 The Evolution of SEO in the Age of LLMs01:22:43 Data Strategy for Startups: A Practical Approach01:23:52 The New Era of AI and Data Dynamics01:24:00 Rapid Fire Insights: Quick Takes on Data01:25:59 Data Visualization and Its Importance01:26:50 Proudest Data Wins and Lessons Learned01:27:28 Pet Peeves in Data Visualization01:28:45 Buzzwords and Their Impact on Tech01:29:05 The Fun of Solving Data Problems01:31:12 The Role of AI in Data Analysis01:33:58 Reflections on the Conversation and Insights01:34:09 The Importance of Financial Literacy01:34:24 Final Thoughts and Closing Remarks

In this conversation, Thomas Evans shares his journey from working at NASA to leading AI and automation initiatives in Fortune 200 companies.

He discusses the balance between AI and workforce concerns, the current state of generative AI and robotics, and the challenges of large-scale deployment.

Evans emphasizes the importance of data strategy, cybersecurity, and the evolving roles of technology and business leaders in the age of AI. He also addresses misconceptions about robotics and the trust factor in autonomous systems, concluding with insights on the future of engineering and technology in business.

(3F) Farabi Future Forum Series - Beyond the Hype: Practical AI Strategies for Business Leaders With Stefan Househam

This episode delves into the nuances of global tech transformations, highlighting Stefan's experiences navigating complex projects and adapting to rapidly evolving technologies. He provides a unique perspective on the importance of balancing broad skill sets with specialized expertise, a crucial element in today's tech landscape.

We explore how Stefan stays ahead of emerging trends, particularly in the realm of artificial intelligence. He discusses the challenges and opportunities presented by generative AI, emphasizing the need for a strategic approach to data architecture and implementation. Discover how he's driving AI maturity within a large enterprise, focusing on the critical balance between innovation and practical application.

Listeners will gain valuable insights into the strategic considerations for AI adoption, the importance of fostering a culture of curiosity, and the practical steps organizations can take to leverage AI for competitive advantage. Stefan's perspectives on the human element of technology, the need for empathy in leadership, and the importance of "old-school thinking" in a digital age make this episode a must-listen for anyone interested in the future of technology and business.

In this episode, we dive into the critical elements of building high-performing innovation teams.

We explore the concept of "failing fast," emphasizing the importance of rapidly moving from initial ideation to identifying flawed concepts.

We discuss how shrinking the time between "brilliant idea" and "this is so stupid" is a key differentiator of top-performing teams.

The conversation highlights the significance of creating a transparent and trusting environment where team members feel comfortable sharing ideas, regardless of their position within the hierarchy. We stress that there are no stupid questions and that open communication is essential for effective collaboration.

The podcast explores the challenges of implementing innovation within enterprises, including the dangers of focusing on slogans rather than true cultural change. We discuss how innovation should be integrated into every aspect of the business, rather than being confined to a separate "innovation lab."Finally, the discussion covers the impact of large language models (LLMs) on innovation. We suggest that LLMs can empower employees to generate and refine ideas more effectively, but also emphasize the need for robust systems to capture and evaluate these ideas.

Our CDO, Ryan Fattini explores the evolution of deep learning, breaking it down into two main camps: connectionist vs. symbolist theories.

He discusses their impact on data science, AI engineering, and innovation, questioning whether DeepSeek’s success stems from a hybrid approach.

With insights into reasoning, first-principles engineering, and rethinking AI systems, this video provides practical takeaways for those navigating the future of machine learning.

🔹 Connectionist vs. Symbolist AI

🔹 DeepSeek’s breakthrough – scale or hybrid model?

🔹 Innovation beyond funding & first-principles thinking

#AI #DeepLearning #MachineLearning #DataScience #Innovation

In this conversation, Rabea Abdelwahab and Ryan Fattini delve into the intricacies of digital transformation within enterprises. Discussing the definition of digital transformation, its critical importance, and the factors that contribute to successful implementation.

The challenges faced during transformation efforts, the necessity of continuous progress, and the role of data strategy in preparing for AI integration.

Emphasizing the need for alignment between technology initiatives and business objectives, as well as the importance of managing cross-functional teams effectively.