In the News
Making dangerous robots fight for fun and glory
As a fashiontech designer, I spend a lot of time making sure my designs are safe, whether it's a robotic spider dress or a prosthetic leg with a built-in Tesla coil and spark gaps. So when I got invited to help update a robot designed to kill other robots in a televised death-match arena, I thought: Oki-doki, that sounds like a chance to do something different. And smash things.
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
Meet the NSA spies shaping the future
Technologies like quantum and 5G are part of that.” The directorate has been at the forefront of quantum computing research since 1995, immediately following the advent of Shor’s algorithm, which showed how quantum computers can factor numbers exponentially faster than normal computers—exactly the...
Artificial intelligence and business: What will the future look like?
To Augment Customer Experience Dynamic and competitive business environment coupled with customer engagement is driving the adoption of AI technology, in order to provide personalized services in real-time. For Predictive Analytics AI predictive tools enable physicians to be effective in workflows,...
What is neural architecture search? AutoML for deep learning
Lindauer and Hutter have proposed a NAS best practices checklist based on their article (also referenced above): Best practices for releasing code For all experiments you report, check if you released: _ Code for the training pipeline used to evaluate the final architectures _ Code for the search...
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
Artificial intelligence system rapidly predicts how two proteins will attach
To streamline the process, MIT researchers created a machine-learning model that can directly predict the complex that will form when two proteins bind together. Protein attachment The model the researchers developed, called Equidock, focuses on rigid body docking — which occurs when two proteins...
Now Physical Jobs Are Going Remote, Too
The vehicle relies on limited artificial intelligence to avoid obstacles and safely come to a stop if the connection between France and the US were to fail. He was testing the company’s remote technology that lets a driver operate a forklift without physically sitting in the vehicle. This week...
Solving (Some) Formal Math Olympiad Problems
Our approach, which we call statement curriculum learning, consists of manually collecting a set of statements of varying difficulty levels (without proof) where the hardest statements are similar to the benchmark we target. As demonstrated in the trivial example below, proving a formal statement...
Ethics
Why It’s So Hard to Regulate Algorithms
Governments increasingly use algorithms to do everything from assign benefits to dole out punishment—but attempts to regulate them have been unsuccessful
AI can help in the fight against racism
In my role as Open Source Community Manager for the Call for Code for Racial Justice, I oversee a community of developers, data scientists, designers and general problem-solvers all looking to use technology to fight for racial justice. What is this community building to fight racial...
Ahead of the learning curve : Managing the risks of Artificial Intelligence
Hughes Hall Fellow, Dr Stephen Cave, reflects on the challenges of balancing ethical and societal implications with the pace with technological innovation, and how Hughes Hall is supporting this work. The new Master of Studies in AI Ethics & Society, supported by Hughes Hall, is designed to square...
Robotics
Lego Robot with an Organic ‘Brain’ Learns to Navigate a Maze
A quarter-century later, researchers have designed a carbon-based neuromorphic computing device—essentially an organic robot brain—that can learn to navigate a maze. As a common saying in neuroscience goes, “Neurons that fire together wire together.” When a neuromorphic chip learns, it rewires its...
Black in Robotics ‘Meet The Members’ series: Nialah Wilson
Her team at the Collective Embodied Intelligence Lab from Cornell University needed to: Design the hardware using flexible printed circuit boards, Characterize the behavior of each module when the magnets were applied, Create the motion planning algorithms, and Implement the communication scheme...
Oral Sampling Robot Can Save Medical Staff From Your Grossness
Until we come up with something less unpleasant, all of the most reliable ways of determining whether you’re playing host to even the teeniest tiniest little bit of COVID-19 that we have right now involve some flavor of jamming a sampling device into a mucus-y orifice that doesn’t appreciate having...
Research
Competitive programming with AlphaCode
The machine learning community has made tremendous progress in generating and understanding textual data, but advances in problem solving remain limited to relatively simple maths and programming problems, or else retrieving and copying existing solutions. AlphaCode achieved an estimated rank within...
Advancing AI trustworthiness: Updates on responsible AI research
Editor’s note: This year in review of responsible AI research was compiled by Aether, a Microsoft cross-company initiative on AI Ethics and Effects in Engineering and Research, as outreach from their commitment to advancing the practice of human-centered responsible AI. As part of their ongoing...
OpenAI GPT-3 Text Embeddings - Really a new state-of-the-art in dense text embeddings?
useful for finding a function for a given search query I wanted to investigate how well these GPT-3 based embeddings would work so I benchmarked the text similarity on 14 datasets and text search embeddings on 6 datasets from various domains: Twitter, StackExchange, Reddit, emails, news, scientific...
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.