At Apoha, we are on a mission to democratize material programming, making it accessible, intuitive, and efficient for everyone.
At Apoha, our mission is to democratize material and drug discovery, bridging the innovation gap between developed and developing nations. We recognize the social disparities caused by drug discoveries being concentrated in wealthier nations, leading to uneven treatment and healthcare access.
We strive to democratize brain-scale supercomputing.
At Apoha, we envision leveraging the potential of our Liquid Brain technology to transcend the boundaries of conventional silicon-based computing. The present-day computational landscape is marked by stark disparities, with supercomputing capabilities predominantly concentrated among certain countries and large corporations. The escalating costs and energy demands associated with Moore's Law have made advanced computing increasingly exclusive, reaching a point of diminishing returns.
In this context, our vision is to initiate a novel paradigm in computing. Through the augmentation of our sensory intelligence, we intend to pioneer a wave of 'brain-scale' computers that can confront and overcome the restrictive framework of silicon-based architectures.
We are committed to dissolving the barriers imposed by prohibitive costs and high energy demands that limit the reach of powerful computing systems. Our ambition is to democratize access to ground-breaking computational capabilities, ensuring they are no longer the privilege of the few but a resource accessible to many. In doing so, we seek to foster a more balanced, equitable, and inclusive technological landscape worldwide.
While AI systems have made remarkable strides in recent years, the ability to check its own homework and improve predictions in real time remains elusive. This problem is particularly exacerbated in material design. Materials have complex properties that are difficult for machines to experience and interact with in a meaningful way. Without being able to understand and manipulate these properties in real time, AI is devoid of the critical feedback that is essential for the accuracy and efficiency of the prediction. To achieve human-level sensory feedback, the level of compute required is far beyond what is currently available.
Any AI system perceives, synthesises, and infers information by continuously cycling information across its interfaces while dissipating energy - like a thermodynamic process (Figure 1). The more efficient the information flow is, or in other words the more relevant the feedback is, the less energy gets lost each cycle.
Fig 1: Illustration of information exchange during a single compute cycle
But in case of material design, this feedback loop is insufficient as well as inefficient – the “sensory bottleneck”. This is partly because of the fundamental limitations with current sensing (e.g., machines can’t embed human experiences such as taste of wine, or the mouthfeel of a crunchy chicken wing), and computing capabilities (e.g., it takes orders of magnitude more data and energy to train an algorithm as compared to the natural biological intelligence).
Fixing this feedback loop and unlocking the full potential of AI thus requires ability to generate meaningful embeddings – representational data that captures the underlying meaning or characteristics holistically. In material design, these embeddings need to abstract the holistic material properties, also known as state diagrams, because it is these properties that dictate the function, including the sensory experience, associated with the material. Overcoming these challenges require new sensing technologies that can capture the full range of material properties in real-time, as well as new computing architectures that can process this data at scale at maximum permissible efficiency observed in nature.
<aside> 💡 Please reach out if any of the following positions are of interest. Also, if there are any adjacent areas where you think we could use your talents please reach out with the “Opportunity Hire” in the subject line.
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We want Apoha to be an extraordinarily creative environment, which innovates with the goal of enabling those who share our values. As we learned about many examples of creative work places from past, some examples stand out. In this regard we find the following except from the very relevant book by Nobert Weiner on Cybernetics remarkable.
https://codahosted.io/docs/s7UlkzpFqD/blobs/bl-2-sMa0xuRC/c3618c0cfc9d60da8c5c513cdf9d7548770ac8062c354c34143890520f02fd2fd5012627c8c54ec2e6df458d5520373dca0a3e9901c77b43dc591144597c8d048c010535ed85708e6e182fe898a6ea7212d614ced84c9f99aa702e0de1d55ceeb29d4aff
https://codahosted.io/docs/s7UlkzpFqD/blobs/bl-Swo0iIB1UV/e1bca9cb5125b0dedc86b30e12bd4afeba7c722e037e79a7bfe731e448c3b359eb999316ac1b8f0948cd2beaae352927fc23fba3b51a7f0d65ae1491d5d0d667be6bebcdefe9b1dcf71e4a3a986602fdb9a2eb5aaf75a30a8da39b8e2c161ae6983de917
We are in the early formative years of building Apoha and as a team we will be setting the culture.
<aside> 💡 We are driven by the belief that technology should enhance our relationship with the world, not replace it. Our vision is to usher in a new era of sustainable solutions powered by sensory intelligence, where technology is not just a tool but a true extension of our senses. We strive to create a world where technology works harmoniously with the environment and enables us to interact with the world in new, sustainable, and exciting ways.
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Based in the heart of London, UK, in the quaint queens park area, we are a team of passionate scientists and engineers committed to using the power of science and technology to tackle the world's most pressing problems and pushing the boundaries of what is possible. We are building products from first principles in physics to solve most challenging problems the world is facing.