# Jeff Hawkins

Jeff Hawkins is an American businessman, computer scientist, and neuroscientist who co-founded Palm Computing and Numenta, and authored 'On Intelligence' and 'A Thousand Brains', proposing theories of brain function and machine intelligence.

Jeffrey Hawkins is an American businessman, computer scientist, neuroscientist, and engineer known for his contributions to handheld computing and his later work in theoretical neuroscience. He co-founded Palm Computing, where he co-created the PalmPilot and the Palm Treo, and later co-founded Handspring. After his success in the technology industry, Hawkins turned to neuroscience, founding the Redwood Neuroscience Institute in 2002 and co-founding Numenta in 2005, where he leads efforts to reverse-engineer the neocortex and develop machine intelligence based on brain theory. He is the author of two influential books, On Intelligence (2004) and A Thousand Brains: A New Theory of Intelligence (2021), which present his frameworks for understanding how the brain works and what is missing in current [artificial-intelligence](https://www.wikiprompt.org/wiki/artificial-intelligence) approaches.

Hawkins's career spans the development of early tablet computers, the rise of personal digital assistants (PDAs), and a sustained research program into the computational principles of the brain. His work has been recognized by the National Academy of Engineering, and his theories have influenced both neuroscience and the design of [neural-network](https://www.wikiprompt.org/wiki/neural-network) models. He continues to lead research at Numenta, focusing on how the brain's structure can inform more capable and efficient machine intelligence.

## Education and Early Life

Hawkins attended Cornell University, where he received a Bachelor of Science degree in electrical engineering in 1979. His early interest in pattern recognition for speech and text input to computers led him to enroll in the biophysics program at the University of California, Berkeley in 1986. While at Berkeley, he patented a "pattern classifier" for handwritten text, an early contribution to the field of [machine-learning](https://www.wikiprompt.org/wiki/machine-learning). However, his PhD proposal to develop a theory of the neocortex was rejected, a setback that would later shape his independent path in neuroscience.

## Early Career and GRiD Systems

In 1982, Hawkins joined GRiD Systems, a pioneering portable computer company. There, he developed rapid application development (RAD) software called GRiDtask. From 1988 to 1992, he served as vice president of research, leading the company's pen-based computing initiative. This effort culminated in 1989 with the GridPad, one of the first tablet computers, which used handwriting recognition to allow users to input text directly onto the screen. The GridPad was used in commercial and industrial settings, including by the U.S. military, and demonstrated the viability of pen-based interfaces.

## Palm Computing and Handspring

In January 1992, Hawkins founded Palm Inc. with the goal of creating a handheld computer that was simple and affordable. The company's first product, the PalmPilot, launched in 1996 and became a commercial success, popularizing the personal digital assistant (PDA) category. The PalmPilot featured a touchscreen, a stylus, and a handwriting recognition system called Graffiti, which Hawkins helped design. The device's success established Palm as a leader in the emerging handheld computing market.

In 1998, Hawkins left Palm along with co-founders Donna Dubinsky and Ed Colligan to start Handspring, a new company focused on more advanced handheld devices. Handspring's Visor series competed directly with Palm products and introduced the Springboard expansion slot, which allowed users to add modules such as modems, cameras, and MP3 players. In 2003, Handspring merged with Palm, and the combined company later produced the Palm Treo, a smartphone that integrated PDA functionality with mobile phone capabilities. The Treo line was an early precursor to modern smartphones and helped shape the mobile computing industry.

## Redwood Neuroscience Institute

After two decades in the technology industry, Hawkins returned to his earlier interest in understanding the brain. In 2002, finding little interest from established neuroscience institutions, he founded the Redwood Neuroscience Institute in Menlo Park, California. The institute was dedicated to theoretical neuroscience, focusing on understanding how the neocortex computes. In 2005, the institute moved to the University of California, Berkeley, where it became the Redwood Center for Theoretical Neuroscience, continuing its research mission.

## Numenta and Machine Intelligence

In March 2005, Hawkins co-founded Numenta, Inc. with Donna Dubinsky and Dileep George. Numenta's mission is to reverse-engineer the neocortex and build machine intelligence technology based on brain theory. The company's research has focused on cortical columns, the basic computational units of the neocortex, and on developing algorithms inspired by the brain's structure. Numenta's work has explored how sparse distributed representations and sequence memory can be used in [deep-learning](https://www.wikiprompt.org/wiki/deep-learning) and other [machine-learning](https://www.wikiprompt.org/wiki/machine-learning) applications.

In 2016, Hawkins hypothesized that cortical columns do not merely capture a sensation but also the relative location of that sensation in three-dimensional space, in relation to what is around it. He explained, "When the brain builds a model of the world, everything has a location relative to everything else." This idea, which he calls "situated capture," suggests that the brain's representation of objects includes their spatial context, a concept that has implications for building more robust [artificial-intelligence](https://www.wikiprompt.org/wiki/artificial-intelligence) systems.

## Books and Theories

In 2004, Hawkins co-authored On Intelligence with Sandra Blakeslee. The book lays out his "memory-prediction framework" theory of the brain, which posits that the neocortex operates by continuously making predictions based on stored memories. According to this framework, intelligence arises from the brain's ability to learn patterns and use them to anticipate future events. The book argued that understanding this framework could lead to the creation of truly intelligent machines.

In 2021, Hawkins published A Thousand Brains: A New Theory of Intelligence. The book details the "thousand brains" theory, which proposes that the neocortex consists of thousands of cortical columns, each learning a complete model of the world. These columns work together to form a unified understanding, and intelligence emerges from the integration of these many models. The book also discusses what this theory means for machine intelligence, arguing that current [artificial-intelligence](https://www.wikiprompt.org/wiki/artificial-intelligence) approaches, including [deep-learning](https://www.wikiprompt.org/wiki/deep-learning) and [large-language-model](https://www.wikiprompt.org/wiki/large-language-model)s, are missing key elements of how the brain works. Hawkins suggests that incorporating principles such as reference frames and continuous learning could lead to more capable and flexible AI systems.

## Board and Institute Memberships

In 2003, Hawkins was elected as a member of the National Academy of Engineering "for the creation of the hand-held computing paradigm and the creation of the first commercially successful example of a hand-held computing device." He has also served on the advisory board of the Secular Coalition for America, where he advised on the acceptance and inclusion of nontheism in American life. His contributions to both technology and neuroscience have been widely recognized, and his work continues to inspire research at the intersection of brain science and [machine-learning](https://www.wikiprompt.org/wiki/machine-learning).

## Legacy and Impact

Jeff Hawkins's impact spans multiple fields. In computing, his work on the PalmPilot and the Treo helped define the handheld computing market and influenced the development of modern smartphones. In neuroscience, his theories have provided a framework for understanding the neocortex and have challenged researchers to think about intelligence in terms of prediction and reference frames. At Numenta, his ongoing research aims to bridge the gap between brain theory and practical machine intelligence, offering an alternative to dominant approaches in [artificial-intelligence](https://www.wikiprompt.org/wiki/artificial-intelligence) such as [transformer](https://www.wikiprompt.org/wiki/transformer)-based [large-language-model](https://www.wikiprompt.org/wiki/large-language-model)s. His books have brought these ideas to a broad audience, and his work remains a significant contribution to the ongoing effort to understand and replicate human intelligence.

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Source: https://www.wikiprompt.org/wiki/jeff-hawkins
License: CC BY-SA 4.0 (https://creativecommons.org/licenses/by-sa/4.0/)
Last updated: 2026-09-08T15:34:53.566181+00:00