In the News
Big Tech Is Spending Billions on AI Research. Investors Should Keep an Eye Out
If the past is any guide, the immense amount of research—this time in artificial intelligence—will spawn new products across medicine, new materials, climate and other areas. Investors would do well to stay tuned
Enhance your customer’s mobile experience with third-party data from AWS Data Exchange
Join our webinar to learn from industry thought leaders as they share key third-party data integration strategies and how to use these datasets in AWS services. These datasets optimize user experiences with new features and functionalities. Begin the next phase of your company’s digital transformation to support its future growth and success.
In The News
Meta’s Yann LeCun on his vision for human-level AI
What is the next step toward bridging the gap between natural and artificial intelligence? Scientists and researchers are divided on the answer. Yann LeCun, Chief AI Scientist at Meta and the recipient of the 2018 Turing Award, is betting on self-supervised learning, machine learning models that can be trained without the need for human-labeled examples.
Looking at 2030: The Future of Artificial Intelligence and Metaverse
An analytic predictive study for the future of artificial intelligence and metaverse in 2030 With the pace artificial intelligence is intertwining within our lives, there is no doubt that it will not end anytime soon. Predictions for AI in 2030 A report published from Harvard University presents the...
Deep Learning Is Hitting a Wall
The GPT-3 powered chatbot Replika alleged that Bill Gates invented COVID-19 and that COVID-19 vaccines were “not very effective.” A new effort by OpenAI to solve these problems wound up in a system that fabricated authoritative nonsense like, “Some experts believe that the act of eating a sock helps...
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
Wearables and AI will be The Game Changer in Healthcare
The game changer in healthcare is going to be the combination of wearables and AI (Artificial Intelligence). We all know that wearables bring immense value in capture health data and they will be crucial for healthcare delivery of the future. Artificial Intelligence (AI) can do so much, from analysing large amount of data, early diagnostics, automation of processes and benchmark many medical practices.
Predicting the past with Ithaca
In line with DeepMind’s mission of solving intelligence to advance science and humanity, we collaborated with the Department of Humanities of Ca' Foscari University of Venice, the Classics Faculty of the University of Oxford, and the Department of Informatics of the Athens University of Economics...
Five ways AI is saving wildlife – from counting chimps to locating whales
Artificial intelligence has been identified as one of the top three emerging technologies in conservation, helping protect species around the world
In the metaverse, responsible AI must be a priority
To create a flourishing and more equitable metaverse, dark AI patterns that can create and perpetuate bias need to be addressed. Language technology powered by AI can perpetuate bias if we are not careful. We believe customer trust is built by native language. When AI powers language, chatbots or...
From principles to practice: what next for algorithmic impact assessments?
Over recent years public and private-sector organisations have invested significant resources into addressing potential AI harms, including designing and developing AI ethics principles and accountability mechanisms. AIAs have the potential to help build public trust, mitigate potential harm and...
Ethics: the New Frontier of Technology
Dr. Edson Prestes Artificial Intelligence (AI) has received a lot of attention these days. In this talk, Dr. Edson will discuss some efforts in the Industry and Multilateral Organizations that he is deeply involved related to Ethical AI, like the recent published "IEEE Ontological Standard for...
Mind Your Manners! A Dataset and a Continual Learning Approach for Assessing Social Appropriateness of Robot Actions
To this end, we first introduce the Socially Appropriate Domestic Robot Actions Dataset (MANNERS-DB) that constitutes simulated robot actions in visual domestic scenes of different social configurations (see an example in Figure 1). Finally, we formulate learning social appropriateness of actions as...
Bendy robotic arm twisted into shape with help of augmented reality
Imperial researchers have designed a malleable robotic arm that can be guided into shape by a person using augmented reality (AR) goggles. The flexible arm, which was designed and created at Imperial College London, can twist and turn in all directions, making it readily customisable for potential...
Kawasaki’s Robot Ibex: Can It Be Tamed?
That's why we started developing Bex, a quadruped walking robot. It's worth noting that Bex appears to have a hybrid mobility system, with knee wheels that it can kneel on to move more quickly on smooth and level surfaces. Rather than committing Bex to human hauling, Kawasaki had sadly settled on...
A value sensitive design approach for designing AI-based worker assistance systems in manufacturing
Abstract Although artificial intelligence has been given an unprecedented amount of attention in both the public and academic domains in the last few years, its convergence with other transformative technologies like cloud computing, robotics, and augmented/virtual reality is predicted to exacerbate...
Restoring and attributing ancient texts using deep neural networks
Notably, when pairing historians with Ithaca (ancient historian and Ithaca), human experts achieve an 18.3% CER and 71.7% top 1 accuracy, therefore demonstrating a considerable 3.2× and 2.8× improvement compared with their original CER and top 1 scores. Pythia was to our knowledge the first ancient...
Assessing Generalization of SGD via Disagreement
This disagreement can be harnessed to estimate generalization error without labels: Given a model, run SGD with the same hyperparameters but different random seeds on the training data to get two different solutions. Given that the models observe the same data, we may expect the models to extract...