In the News
Artificial Intelligence in Cyber Warfare: The End of Humanity Imminent?
In the below article, we explore just this concept; discuss cyber warfare and the latest weapon in its arsenal, artificial intelligence. Jeffrey Carr, in his book entitled ‘Inside Cyber Warfare: Mapping the Cyber Underworld’ offers yet another definition for cyberwarfare: Cyber warfare is the art...
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In The News
How ModelOps Helps You Execute Your AI Strategy
Gartner defines ModelOps, which are practices whose goal is to automate a common set of operations that arise in data science projects, such as model training pipelines, version control, data management, experiment monitoring, testing, and distribution. It aims to operationalize all predictive...
AI and climate change have a complicated relationship
Using renewable energy grids for complex neural network training is something that big tech can invest in, but more efficient GPUs are crucial for reducing AI’s carbon impact on a global scale. Although Google’s emissions are still higher than is optimal, DeepMind was instrumental in reducing...
Year-End Review & a glimpse into 2022 from Essentials
As the end of the year approaches, it's time to look back at the fast-changing evolution of AI in 2021. To help you navigate this ocean of information the Faveeo team has prepared a Year-End Review that will help you catch the information that matters the most.
Applied use cases
Public Agencies Are Buying Up AI-Driven Hiring Tools and “Bossware”
The center, along with the Office of Management and the Division of Management Services, the background section of a statement of work said, were developing a “recruitment plan to leverage artificial intelligence (AI) to assist in the time to hire process.” The agency ultimately chose to use...
Breaking Up Tech Is a Gift to China
In response to these concerns, legislation introduced in Congress would weaken the U.S. tech industry, ostensibly in the name of breaking up monopolies. Beginning with the “Made in China 2025” initiative, Beijing has made clear that it won’t stop until it dominates technologies such as quantum...
Worried about super-intelligent machines? They are already here
Its title was Computing Machinery and Intelligence and in it Turing introduced many of the core ideas of what became the academic discipline of artificial intelligence (AI), including the sensation du jour of our own time, so-called machine learning. At some stage therefore we should have to expect...
Ethics
Can China and Europe find common ground on AI ethics?
Collective vs individualistic view of cultural heritage In many aspects the Chinese principles seem similar to the EU’s, both promoting fairness, robustness, privacy, safety and transparency. Aligned with the The General Data Protection Regulation (GDPR), the European promotion of privacy...
Anthropomorphized AI as Capitalist Agents: The Price We Pay for Familiarity
Darling cites multiple concerns over privacy, data collection, advertising, and increased inclination to reveal personal information. Works Cited Kate Darling, “Extending legal protection to social robots: The effects of anthropomorphism, empathy, and violent behavior towards robotic objects”, in R....
Can AI Revolutionise India’s Judicial System?
A September 2021 report states that in India, high courts list 5.8 million pending cases, even though their average rate of disposal between 2015 and 2019 was about 1.8 million cases per year. The use of machine learning and artificial intelligence in these mechanisms can greatly increase efficiency...
Robotics
How to prevent mass extinction in the ocean using AI, robots and 3D printers
The role of technology There is currently no possibility of the world reaching the 30% target for marine protected areas (MPAs) with existing policies and systems of governance. These technologies include sensors, drones, robots and artificial intelligence, all of which can use real-time information...
Why the Air Force wants to put lidar on robot dogs
In 2018, Hurricane Michael tore through Tyndall Air Force Base on the Florida panhandle, damaging planes and facilities alike. To that end, it’s experimenting with how laser sensors, on drones and robot dogs, can map damage before a human even has to set foot in a collapsing building. (In the...
Modeling a Controlled-Floating Space Robot for In-Space Services: A Beginner’s Tutorial
1Surrey Space Centre, Department of Electronic and Electrical Engineering, University of Surrey, Guildford, United Kingdom 2Lincoln Centre for Autonomous Systems (L-CAS), University of Lincoln, Lincoln, United Kingdom Ground-based applications of robotics and autonomous systems (RASs) are fast...
Research
Engineering Trade-Offs in Automatic Differentiation: from TensorFlow and PyTorch to Jax and Julia
it required users to essentially define variables in a specific graph language separate from the host language. It generates the code to autodiff every time you run the forward pass by simply storing the operation that it sees in a given forward pass, and then differentiates that set of operations...
Grid.ai
Grid.ai enables companies of all sizes to train state-of-the-art AI models on hundreds of cloud GPUs and CPUs from their laptops. From the creator of the popular framework PyTorch Lightning, Grid is a platform for training models that enables rapid research iteration. Grid aims to simplify scalable...
Why are ML Compilers so Hard?
The computation graphs used in deep learning look a lot like programs, and the major frameworks like PyTorch and TensorFlow use interpretation to execute them, so using compilation to improve performance seems like a logical next step. This term slightly confused me initially, since from my...