In the News
Why Women Are Making It Big in Artificial Intelligence and Machine Learning
Women are making meaningful headway in the field of machine learning and artificial intelligence. Read on to learn more about the challenges women are overcoming and the opportunities that are helping close the gender gap.
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In The News
Don't miss the interview with Shivani Poddar, Machine Learning Tech Lead at Facebook
As part of the Speaker Series, hear from Shivani Poddar who is the Machine Learning Tech Lead for the Meeting Assistant team at Workplace, Facebook where she leads the development of conversational AI for making remote collaboration easier for work. In this discussion she shares the latest AI trends, applications, and opportunities whilst offering tips and best practices for AI practitioners and non-technical professionals to build careers in AI Watch here
Why machine learning struggles with causality
In a paper titled “Towards Causal Representation Learning,” researchers at the Max Planck Institute for Intelligent Systems, the Montreal Institute for Learning Algorithms (Mila), and Google Research, discuss the challenges arising from the lack of causal representations in machine learning models...
Applied use cases
Affectiva receives six new patents for using AI to analyse vehicle occupants
Human perception AI pioneer Affectiva has been granted six patents for detecting the awareness and emotions of vehicle occupants. Affectiva Automotive AI combines deep learning with computer vision – using in-vehicle cameras – to analyse the states of the driver and other vehicle occupants in a...
Why Startups Will Be At The Forefront of GPT-3 Adoption – Four Trends For 2021
Other young companies are harnessing the API to accelerate their existing efforts, augmenting their technical teams’ capabilities with the power of 175 billion parameters and quickly bringing otherwise difficult products to market with much greater speed and data than previously possible.
For Political Cartoonists, the Irony Was That Facebook Didn’t Recognize Irony
In January, Facebook barred Mr. Trump from posting on its site altogether after he incited a crowd that stormed the U.S. Capitol. At the same time, misinformation researchers said, Facebook has had trouble identifying the slipperiest and subtlest of political content: satire. Emerson T. Brooking, a...
The Role of Arts in Shaping AI Ethics
In this paper, researchers Ramya Srinivasan and Kanji Uchino explain why we should tap into the arts to not only educate society about AI but to also create more ethical systems.
It is time to negotiate global treaties on artificial intelligence
The goal through these agreements was to provide greater stability and predictability in international affairs, introduce widely-held humanitarian and ethical norms into the conduct of war, and reduce the risks of misunderstandings that might spark unintended conflict or uncontrollable...
The AI Ethics Brief #48: Privacy Paradox, artifact affordances, the AI gambit, and more ...
This week’s overview: ✍️ What we’re thinking: How Artifacts Afford: The Power and Politics of Everyday Things The importance of goal setting in product development to achieve Responsible AI 🔬 Research summaries: Artificial Intelligence and the Privacy Paradox of Opportunity, Big Data and The...
Why Robots Won’t Steal Your Job
According to the World Economic Forum Future of Jobs Report 2020, 85 million jobs may be displaced by the shift in labor between humans and machines by 2025, while 97 million new roles may emerge. The Top 20 Roles in Increasing and Decreasing Demand Across Industries According to the World Economic...
Researchers’ algorithm designs soft robots that sense
MIT researchers have developed an algorithm to help engineers design soft robots that collect more useful information about their surroundings. Creating soft robots that complete real-world tasks has been a long-running challenge in robotics. The researchers developed a novel neural network...
The Robot Brains Podcast Pieter Abbeel
In each episode of The Robot Brains podcast, renowned artificial intelligence researcher, professor and entrepreneur Pieter Abbeel meets the brilliant minds attempting to build robots with brains. Pieter is joined by leading experts in AI Robotics from all over the world as he explores how far...
AI names colors much as humans do
Using mathematical tools, linguistic researchers have shown this consistency in color names is because humans optimize language to balance the need for accurate communication with a general biological drive toward minimizing effort.
Google Research Team bring Deep Learning to Pfam
In 2019, Colwell’s team published a preprint describing a new deep learning method that was trained on Pfam data, and which improves upon the performance of the HMMER software (HMMER is the underlying software used by Pfam).
Unconditional generations from the HybridIDF.
However, we want to be more fancy and we will utilize Integer Discrete Flows (IDFs) (van den Berg et al., 2020; Hoogeboom et al., 2019). elif len(netts) == 4: self.t_a = torch.nn.ModuleList([netts0 for _ in range(num_flows)]) self.t_b = torch.nn.ModuleList([netts1 for _ in range(num_flows)])...