How do you help high-tech companies get the most out of AI? You should bring knowledge, new ecosystems, and cutting-edge technology together on ‘the smartest square kilometre’ in the world!
3 minutes read
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artificial intelligence
Latest Posts
In this episode, we talk about how a machine learning algorithm that can predict what sequence of actions a volleyball player will take next is being used to create more effective human/machine interactions for safer autonomy in our lives.
Article #3 of the "Why Edge?" Series. From soaring costs to dwindling resources, the energy and utility sectors face unprecedented challenges in the coming years.
After years of careful development, engineers have created a boot-like exoskeleton that increases walking speed and reduces effort outside of the lab.
4 minutes read
Article #2 of the "Why Edge?" Series. Edge AI increases battery life, reduces latency, and in many cases, eliminates the need for cloud communication, making wearable devices more user-friendly and secure.
Art and science are usually thought of as opposites. AI-powered systems like MidJourney smash that paradigm out of the water.
Article #1 of the "Why Edge?" Series. Edge AI presents a multitude of benefits for security across industry.
This article taps into discussing problems met by retailers and ways in which they can be solved with robotic automation.
6 minutes read
Digital twins, edge processing, and addressing bias are at the center of AI research and development.
Computer vision brings an 80% reduction in illegal dumping. IoT surveillance company iDefigo partners with Matroid to apply AI-based computer vision for illegal trash dumping detection.
2 minutes read
By continuously monitoring a patient’s gait speed, the system can assess the condition’s severity between visits to the doctor’s office.
In this episode, we talk about how a team from MIT is making the most well known creative AI - Dall-E - even better at creativity!
Proven benchmarks provide a structured method for comparing ML/DL products and services.
Researchers develop a new method that uses multiple models to create more complex images with better understanding.
In this episode, we talk about how Toyota and Stanford are collaborating to utilize AI for drifting controls and the efforts behind a team at TUM which has resulted in an autonomous race car performing at the capacity of an amateur F1 driver.
