In the News
UK, US, EU and China sign declaration of AI’s ‘catastrophic’ danger
The UK, US, EU, Australia and China have all agreed that artificial intelligence poses a potentially catastrophic risk to humanity, in the first international declaration to deal with the fast-emerging technology.
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In The News
Amazon introduces humanoid robots to its warehouses
To view and manage your authorized apps, go to Settings > Account Management > Authorized Apps, and then scan the QR code with your mobile device.
AI skills can increase salaries by as much as 40%, study suggests
Workers with artificial intelligence skills are "particularly valuable," and command salaries 21% higher than average, but potentially up to 40% higher—in part because these skills can be combined with other valuable skills.
Microsoft reorgs its Xbox and marketing teams to prepare for an AI and gaming future
Microsoft is reorganizing its Xbox gaming and marketing leadership, less than two weeks after acquiring Activision Blizzard.
Applied use cases
5 Free Books to Master Machine Learning
Machine Learning For Absolute Beginners Author: Oliver Theobald Link: Machine Learning For Absolute Beginners Book Cover You have heard the word Machine Learning and want to delve into this exciting field, but you don’t know where to start.
11 Critical ChatGPT Use Cases That Are Actually Useful and Will Change Your Life Forever!
AI is rapidly becoming a jack-of-all-trades, revolutionizing industries and altering how we create, work, and communicate. It’s time to learn how to stay ahead of the curve, and for that, we bring you 11 life-changing ChatGPT use cases that you can’t miss!
AI, virtual reality and robots are the future of behavioural public policy
Even though technology is largely underused by policymakers, the behavioural public policy of the future will be high tech. Artificial intelligence, virtual reality and robots hold the potential to help people change their behaviour for the better.
Ethics
Timnit Gebru : companies won't 'self-regulate' because of the AI 'gold rush'
Ex-Google AI researcher said the current AI "gold rush" means firms won't "self-regulate." Timnit Gebru was fired from Google shortly after writing a paper that pointed out biases in AI. Gebru told The Guardian: "We need regulation and we need something better than just a profit motive."
The Senate’s hearing on AI regulation was dangerously friendly
As politicians and companies agree on the need to regulate AI, experts warn of regulatory capture — of letting corporations write lax rules that lead to public harm.
Governments Race to Regulate AI tools
China published proposed security requirements for firms offering services powered by generative AI on Oct. 12, including a blacklist of sources that cannot be used to train AI models.
Robotics
Government Robotics Funding Critical Amid Global Competition: ‘The Race Is On’
A decade ago the DARPA Robotics Challenge pumped tens of millions of dollars of investment into American robotics innovation, stimulating development of everything from humanoid robots to self-driving cars.
Xpeng Tech Day 2023: first MPV, self-driving timeline, flying cars, and humanoid robots
Xpeng Motors teased how it sees the future of electric vehicles on Tuesday with the debut of its first multi-purpose vehicle model and a new timeline for the expansion of its self-driving software.
Aniai’s Hamburger Cooking Robot to Expand in North America
Aniai, a rapidly-growing robotics company and global leader of innovative kitchen solutions, has announced its strategic plans for North America, marking a significant milestone in the company’s global growth strategy.
Research
The best open source software of 2023
Among the 25 winners you’ll find programming languages, runtimes, app frameworks, databases, analytics engines, machine learning libraries, large language models (LLMs), tools for deploying LLMs, and one or two projects that beggar description.
Predicting of diabetic retinopathy development stages of fundus images using deep learning based on combined features
The radiomic features are a combination of the features of the CNN models (Dense-121 and Alex) separately with the handcrafted features extracted by Discrete Wavelet Transform (DWT), Local Binary Pattern (LBP), Fuzzy colour histogram (FCH), and Gray Level Co-occurrence Matrix (GLCM) methods.
A Definition of Open-Ended Learning Problems for Goal-Conditioned Agents
After illustrating the genealogy of the concept and more recent perspectives about what it truly means, we outline that open-ended learning is generally conceived as a composite notion encompassing a set of diverse properties.