When the Chula Vista police receive a 911 call, they can dispatch a flying drone with the press of a button. …Each day, the Chula Vista police respond to as many as 15 emergency calls with a drone, launching more than 4,100 flights since the program began two years ago. …The latest drone technology — mirroring technology that powers self-driving cars — has the power to transform everyday policing, just as it can transform package delivery, building inspections and military reconnaissance. Rather than spending tens of millions of dollars on large helicopters and pilots, even small police forces could operate tiny autonomous drones for a relative pittance. Read More
Daily Archives: December 7, 2020
Using an AI COE (Center of Excellence) to Bridge from Experimentation to Mastery
Summary: There is now sufficient experience among mid and large sized companies starting their AI journey to identify a single best practice for moving from AI experimentation to scale-up: the AI COE (Center of Excellence).
If you are a mid-sized business, government organization, or educational institution chances are pretty much 100% that you already have AI somewhere in your company.
AI is embedded in so many modern applications that some version of NLP, machine vision, text recognition, or a recommender or behavioral predictor of some sort is already hard at work without you’re really having to do much beyond the original customization and implementation. Read More
Neuroscientists find a way to make object-recognition models perform better
Computer vision models known as convolutional neural networks can be trained to recognize objects nearly as accurately as humans do. However, these models have one significant flaw: Very small changes to an image, which would be nearly imperceptible to a human viewer, can trick them into making egregious errors such as classifying a cat as a tree.
A team of neuroscientists from MIT, Harvard University, and IBM have developed a way to alleviate this vulnerability, by adding to these models a new layer that is designed to mimic the earliest stage of the brain’s visual processing system. In a new study, they showed that this layer greatly improved the models’ robustness against this type of mistake. Read More
Here Are The Most Controversial AI Moments of 2020
Artificial intelligence has been the buzzword in 2020 and with the benefits of this technology evident around us; AI has had its own share of controversies. From algorithms¹ unfairly discriminating women in hiring and students complaining about unrealistic grades, there is no doubt that AI has evolved in 2020 and as 2021 beckons, it is time to take stock of what the year has been. With GPT3, deepfakes, and facial recognition making headlines in 2020, there are many arguments surrounding privacy and regulations.
In this article, I will explore the following controversial AI incidents in 2020 and explore the future prospects of artificial intelligence² and how 2021 is shaping up:
- Facial recognition
- Deepfakes
- AI-based grading system
- NeurIPS Reviews
- GPT 3
#artificial-intelligence
Neural ODEs with PyTorch Lightning and TorchDyn
Effortless, Scalable Training of Neural Differential Equations
Traditional neural network models are composed of a finite number of layers. Neural Differential Equations (NDEs), a core model class of the so-called continuous-depth learning framework, challenge this notion by defining forward inference passes as the solution of an initial value problem. This effectively means that NDEs can be thought of as being comprised of a continuum of layers, where the vector field itself is parametrized by an arbitrary neural network. Since seminal work that initially popularized the idea, the framework has grown quite large, seeing applications in control, generative modeling and forecasting. Read More
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