In the News
An AI That Finds Your Soul Mate: How Much Would You Pay?
Online daters know they can create profiles on a number of platforms, but according to a new survey conducted by Tidio, most people would ghost them all for the holy grail: a dating app or site that used artificial intelligence (AI) to find them a truly perfect match.
Sponsor
Using Data to Drive Private Equity – Lessons, Trends, and Opportunities for Data Scientists
Join celebrated data scientist Drew Conway, Head of Data Science for Two Sigma Private Investments and inventor of the Data Science Venn Diagram, in conversation with Jaclyn Rice Nelson, co-founder of Tribe AI, as they discuss the place of data science in the world of private equity.
In The News
Andrew Ng: time for smart-sized, “data-centric” solutions to big issues
Ng's current efforts are focused on his company Landing AI, which built a platform called LandingLens to help manufacturers improve visual inspection with computer vision. Having said that, a lot of what’s happened over the past decade is that deep learning has happened in consumer-facing companies...
75% of execs anticipate disruption from automation within 12 months
The findings come from research firm GlobalData which calls automation “no longer a distant dream”. Charlotte Dunlap, Principal Analyst at GlobalData, said: “The pandemic has shown us just how vital intelligent automation and robotics advancements are for the new world of work. The result will be a...
The metaverse is a new word for an old idea
In the company’s presentation of the concept, the metaverse was a thing of wonder: an immersive, rich digital world combining aspects of social media, online gaming, and augmented and virtual reality. “The defining quality of the metaverse will be a feeling of presence—like you are right there with...
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
Perspectives in machine learning for wildlife conservation
Box 1 Wildbook: successes at the interface between community science and deep learning Wildbook, a project of the non-profit Wild Me, is an open-source software platform that blends structured wildlife research with artificial intelligence, community science, and computer vision to speed population...
Artificial Intelligence Interview Here’s How AI Will Change Chip Design
MATLAB product manager discusses AI's promise and potential for the semiconductor industry. The end of Moore’s Law is looming. Engineers and designers can do only so much to miniaturize transistors and pack as many of them as possible into chips
Sony's AI Drives a Race Car Like a Champ
“Outracing human drivers so skillfully in a head-to-head competition represents a landmark achievement for AI,” said Chris Gerdes, a professor at Stanford who studies autonomous driving, in an article published on Wednesday alongside the Sony research in the journal Nature. Many companies developing...
Ethics
The state of AI ethics: The principles, the tools, the regulations
The Montreal AI Ethics Institute (MAIEI) is an international nonprofit organization democratizing AI ethics literacy. AI ethics: Privacy and security, reliability and safety, fairness and inclusiveness, transparency and accountability The report covers lots of ground, going both deep and wide. The...
Algorithmic impact assessment: a case study in healthcare
Algorithmic impact assessments (referred to throughout this report as ‘AIAs’) are a tool for assessing possible societal impacts of an AI system before the system is in use (with ongoing monitoring often advised).17 They have been proposed by researchers, policymakers and developers as one...
€3.8M awarded for research on Just and Sustainable AI
€3.8 Million Awarded to the Universities of Cambridge and Bonn to Research Ethical AI Artificial intelligence (AI) is transforming society as algorithms increasingly impact access to jobs and insurance, justice, medical treatments, as well as our daily interactions with friends and family. To ensure...
Robotics
These Russian military robots help with logistics and scouting
A small tank-shaped scout advances ahead of a large six-wheeled armored personnel carrier. [Related: Russia’s Marker robot is a testbed for its next-gen military tech] The smaller robot, roving ahead of the formation in the video, appears to be the scout with the explosive payload. Putting...
Happy Birthday Nao!
This community platform allowed to share resources, behaviours and featured a forum. 1) Educational communities In 2010, the University of Tokyo piloted a new educational program developed by Aldebaran Robotics that aimed to train students to use NAO. 3) Research communities Aldebaran had a strong...
Video Friday: your weekly selection of awesome robot videos
when Audi teamed up with Stanford to explore autonomy at the limits of vehicle handling, including autonomous drifting. In this video we demonstrate fully autonomous multicontact locomotion for our humanoid robot LOLA. In this paper, we propose a general-purpose Graph Neural Network (GNN) with the...
Research
Quantum Complexity Tamed by Machine Learning
“These machine learning methods,” said Marivi Fernández-Serra, a condensed matter physicist at Stony Brook University, “they got to where the field was in a couple of years and have already surpassed it.” Electron Whisperers To know electrons is to know the atoms, molecules and materials they make...
Jury Learning: Integrating Dissenting Voices into Machine Learning Models
Supervised ML today resolves these label disagreements implicitly using majority vote, which overrides minority groups' labels. We introduce jury learning, a supervised ML approach that resolves these disagreements explicitly through the metaphor of a jury: defining which people or groups, in what...
[N] We started a talk series on ML for drug discovery
A few weeks ago we've started a freely accessible talk series on ML for drug discovery and molecular modeling. Although machine learning holds the promise to improve the efficiency of the drug discovery process, we are not there yet. Compared to other machine learning domains such as computer vision...