AE Studio Takes First Place in Benchmark Neural Latent Challenge
VENICE, California, January 12, 2022 / PRNewswire / – AE Studio, a team of developers, designers and data scientists, was recognized as the world’s best machine learning team in BCI (Brain Computer Interface) following its victory in the Benchmark challenge of neuronal latents. Among its participants were six of the best neurological research laboratories on the planet.
AE Studio develops the software component of BCI – machine learning algorithms to interpret brain activity (neural decoding). By collaborating with research groups to advance the state of the art (and participating in machine learning competitions), AE Studio amplifies the impact of the world’s best research labs and delivers better algorithms, better software and better standards.
“We believe that BCI will be the way humans and computers interact for years to come. Developing BCI technology to increase human agency has always been a goal since the inception of AE, and we are delighted that we are becoming exponentially better, faster than we could have imagined, ”said Judd Rosenblatt, CEO of AE Studio. “To support the excellent work of those who are pushing the boundaries of knowledge and the future of brain-computer interfaces, AE will reinvest money at all costs in the neuroscience community. We are in discussion with the NLB team and academic research groups, so look for another announcement soon! “
The competition featured five primary data sets on which the teams’ models were tested. Each model was deployed on neural data in different regions of a monkey’s brain from electrode arrays implanted in the motor cortex. More details available here:
- MC_Maze: Reach delayed in a maze to make a path to a target
- MC_RTT: Reach at your own pace, move an arm to a square in a grid
- Zone2_Bump: Sensory responses as the monkey attempts to hit a target on a screen, while sometimes its arm is struck
- DMFC_RSG: Monkeys trying to replicate a time interval between two stimuli with their hand or eye movements (in other words, imagine “Ready”, “Set”, “Go” while trying to match the time between ” Set ”and“ Go ”with the time between“ Ready ”and“ Set ”)
- MC_Maze scaling: Smaller versions of the first dataset used to test model performance with limited amounts of data
AE’s data science team offers the world’s best models to extract neurological data models, as evidenced by victory in the Neural Latent Benchmark Challenge (NLB).
“BCI technology will one day allow humans to interact with computers in entirely new ways beyond keyboards and mice,” said Darin Erat Sleiter, Senior Data Scientist at AE Studio. “It’s a small step in an exponentially accelerating field that needs to have human agency at the center of every discussion and every step forward.”
AE (Agency Enterprise) is currently recruiting the best machine learning engineers and neuroscientists on planet Earth to maximize human agency. Advances in BCI mean advancements in improving mental health, fluency of transcription, restoring agency to the crippled, and most importantly, inspiration for future tech giants to place the human agency at the center of their objectives.
About AE Studio
AE Studio specializes in working with startups and growing businesses to launch and rapidly develop new products and startup MVPs, increase revenue by expanding existing feature sets, or integrate data science and machine learning from tip in products. AE is a team of seasoned designers, developers, product managers and data scientists who work closely with businesses to reach their next inflection point – whether it’s raising capital, creating partnerships, create business efficiency or launch a new product or initiative. For more information visit: www.ae.studio.
SOURCE AE Studio