16 papers · ranked by Valyu relevance
Michael Tetteh, Douglas Mota Dias, Conor Ryan
The evolution of complex circuits remains a challenge for the Evolvable Hardware field in spite much effort. There are two major issues: the amount of testing required and the low evolvability of representation structures to handle complex circuitry, at least partially due to the destructive effects of genetic…
Mike Bilby, Edgar Buchanan, Léni K. Le Goff, Emma Hart + 7 more
The evolutionary robotics field offers the possibility of autonomously generating robots that are adapted to desired tasks by iteratively optimising across successive generations of robots with varying configurations until a high-performing candidate is found. The prohibitive time and cost of actually building this…
Jennifer Y. Gerasimov, Deyu Tu, Vivek Hitaishi, Padinhare Cholakkal Harikesh + 8 more
'Padinhare Cholakkal Harikesh' 'Chi‐Yuan Yang' 'Tobias Abrahamsson' 'Meysam Rad' 'Mary J. Donahue' 'Malin Silverå Ejneby' 'Magnus Berggren' 'Robert Forchheimer' 'Simone Fabiano'] Future brain-computer interfaces will require local and highly individualized signal processing of fully integrated electronic circuits…
Hiroyuki Nakagawa, Shinya Tsuchida, Emiliano Tramontana, Andrea Fornaia + 1 more
'Andrea Fornaia' 'Tatsuhiro Tsuchiya'] Abstract—Embedded systems including IoT devices are designed for specialized functions; thus, changes in functions are not considered following their release. For this reason, changing functions to satisfy the requirements of IoT systems is difficult. In this study, we focus on…
Samar Alqatari, Sidney R. Nagel
An elastic spring network is an example of evolvable matter. It can be pruned to couple separated pairs of nodes so that when a strain is applied to one of them the other responds either in-phase or out-of-phase. This produces two pruned networks, with incompatible functions, that are nearly identical but differ from…
Nicola Milano, Stefano Nolfi
The propensity of evolutionary algorithms to generate compact solutions have advantages and disadvantages. On one side, compact solutions can be cheaper, lighter, and faster than less compact ones. On the other hand, compact solutions might lack evolvability, i.e. might have a lower probability to improve as a result…
Milton L. Montero, Erwan Plantec, Eleni Nisioti, Joachim Winther Pedersen + 1 more
'Joachim Winther Pedersen' 'Sebastian Risi'] Representations for black-box optimization methods (such as evolutionary algorithms) are traditionally constructed using a delicate manual process. This is in contrast to the representation that maps DNAs to phenotypes in biological organisms, which is at the heart of…
Bhaskar Kumawat, Alexander Lalejini, Monica Acosta, Luis Zaman
Evolvability is defined as the capacity of populations to generate adaptive variation that promotes evolution by natural selection^1–4^. Lineages in a fluctuating environment must rapidly adapt to different states of the environment to survive. One possible solution is for populations to evolve increased evolvability.…
Jie Luo, Karine Miras, Jakub Tomczak, Agoston E. Eiben
Evolutionary robot systems offer two principal advantages: an advanced way of developing robots through evolutionary optimization and a special research platform to conduct what-if experiments regarding questions about evolution. Our study sits at the intersection of these. We investigate the question “What if the…
Rachel K Staples, Tim F. Cooper
Evolvability describes the potential of a population to generate beneficial variation. Several mechanisms that increase evolvability have been demonstrated, including the action of systems that reveal accumulated beneficial variants following an environmental shift. We examine the basis of an increase in the…
Cheng Siong Chin, Jianhua Zhang, Mohan Venkateshkumar
Autonomous systems inevitably age, yet their artificial intelligence typically assumes hardware remains in its original condition. Batteries degrade, sensors drift, processors accumulate timing errors, and memory reliability declines, creating a growing mismatch between assumed and actual capability. This can lead to…
Ivan Kondratyev, Weinan Sun
AI coding assistants excel at software tasks but lack structured access to laboratory hardware, the physical instruments that define experimental science. We present Ataraxis, an open-source framework that provides hardware control capabilities spanning camera acquisition, microcontroller communication, precision…
Erin Looney, Andre Buscariolli, Maria Yang, Geoffrey Raymond + 2 more
Hardware-based startups risk having longer times-to-market, deterring investment in critical fields such as cleantech, medical devices, and automation. We interviewed 55 leaders at hardware startups, mapped their development timelines, and found prototyping to be the longest development step (median of 19 weeks per…
Karine Miras
Phenotypic plasticity is usually defined as a property of individual genotypes to produce different phenotypes when exposed to different environmental conditions. While the benefits of plasticity for adaptation are well established, the costs associated with plasticity remain somewhat obscure. Understanding both why…
Authors not listed
This paper details a 3D-printed plate handler designed to address the limitation of automated plate manipulation within the Opentrons OT-2 liquid handling robot. The hardware enables precise, automated labware transfer, expanding the OT-2’s capabilities for complex biological and chemical assays. Technically, it…
Ludovico Rella
This paper investigates the role of the materiality of computation in two domains: blockchain technologies and artificial intelligence (AI). Although historically designed as parallel computing accelerators for image rendering and videogames, graphics processing units (GPUs) have been instrumental in the explosion of…