What we're about

The Hive Think Tank is the largest community of AI and data innovators. The Think Tank is hosted by The Hive (http://hivedata.com/), an AI fund and co-creation studio. Visit us @ Medium (https://medium.com/hivedata) | Twitter (https://twitter.com/HiveData) | Facebook (https://www.facebook.com/HiveData/) | YouTube (https://www.youtube.com/user/HiveMumble).

We are based in the San Francisco Bay Area and our community consists of data scientists, entrepreneurs, corporate users and academicians. We are appreciative and proud of our sponsors, which you can view here (https://www.meetup.com/SF-Bay-Areas-Big-Data-Think-Tank/sponsors/).

The Hive Think Tank hosts talks and panel discussions that are focused on four key areas: AI based Applications, Data Infrastructure, Data Science and Entrepreneurship that span enterprise, consumer and Internet of Things (IoT) segments.

Current hot topics for The Hive Think Tank include:

• Deep Learning and AI

• Bots, Conversational Agents

• AI based Enterprise Automation

• Security & Privacy

• Smart Machines and Autonomous Industrial Operations

• Drones, Robots and Self Driving Vehicles

We have hosted over 305 events so far with 10,200+ attendees and we’re excited to have you join our community.

Join The Hive Think Tank and be a part of the AI driven innovation that is driving disruption and creating new opportunities.

Upcoming events (1)

Beyond Language: Reasoning Over Non-Language Data with Generative AI

Link visible for attendees

Register here: https://bit.ly/3GYNlIQ

Generative AI models have demonstrated remarkable capabilities in language-related tasks. However, their potential extends into realms of artificial general intelligence far beyond language domains, encompassing non-language domains like genetic sequences, machine log data, financial markets data, time series data, etc. Disruptive AI architectures like transformers (the “T” in “GPT”) enable models to capture long-range dependencies, making it adept at learning patterns within non-language data.

Techniques like layer normalization ensure stable learning dynamics, allowing the model to generalize effectively. Supervised fine-tuning can reapply innate understanding of complex language-like structures in foundational models to new domains with little training data. Input encoding can work effectively with non-language by using domain-specific tokenization techniques such as nucleotide triplets for genetic sequences or sequences of event for log data. Emergent reasoning techniques like chain-of-thought/plan-of-action and self-instruct can drive continuous refinement and error control without needing large teams of domain experts.

The Hive Think Tank is doing a series of online events on Generative AI. In this event organized by The Hive Think Tank, our panel of Al leaders will discuss this second, broader wave of disruptions that generative Al will be bringing upon us. The panel will also discuss the ethical implications of creating complex and synthetic non-language data, especially in areas like genetics and finance. As Al comes to the forefront of driving digitization globally, these subtler second-order use-cases will reshape growth, work and equity value across a wider set of verticals.

***The webinar will take place on Zoom. Please register here: https://bit.ly/3GYNlIQ


  • Dr. Karthik Narasimhan: Karthik is an Assistant Professor, Computer Science at Princeton University and is the Co-director of Princeton Natural Language Processing. His research spans the areas of natural language processing and reinforcement learning, with a view towards building intelligent agents that learn to operate in the world through both experience and existing human knowledge (ex. text).
  • Dr. Ellen D. Zhong: Ellen is an Assistant Professor of Computer Science at Princeton University. Her primary research interest is in machine learning for structural biology, with a focus on 3D vision-based algorithms for determining protein structures from cryo-electron microscopy (cryo-EM) data.
  • Alistair Croll (moderator): Alistair is a serial entrepreneur, event organizer, and bestselling author who works at the intersection of technology and society. After an early career in product management and telecommunications at Eicon, Primary Access, and 3Com, Alistair founded web performance pioneer Coradiant (acquired by BMC.) Since that time, he's launched the Year One Labs incubator, chaired the world's leading conferences on Big Data (Strata); Cloud Computing (Cloud Connect); and digital government (FWD50.)
    Alistair is the author of three books on technology and business including the bestselling Lean Analytics, widely considered required reading for startups, and has served as a visiting executive at Harvard Business School where he helped create a course on Data Science and Critical Thinking for MBAs. Alistair lives in Montreal, Canada, where he is currently working on Just Evil Enough, a playbook on subversive marketing.

Past events (255)

Discovered not Designed: Hidden Capabilities of Large Language Models with Dolly

This event has passed