Nelson left HuffPost at the end of 2018 to work full time on the concept for the game. While at HuffPost, Nelson wrote a newsletter with a humorist spin on the day's political headlines. But Nelson says the news cycle can often feel like a "SportsCenter" highlight reel, continually cycling through provocative tweets and sound bites from politicians. And, because of that, Nelson said the average reader may think American politics are nothing more than a "Twitter-fueled boxing match, where occasionally there's a Supreme Court nominee or a major bill."

Facebook has announced a research project that aims to push the "frontier of first-person perception", and in the process help you remember where you left your keys. The Ego4D project provides a huge collection of first-person video and related data, plus a set of challenges for researchers to teach computers to understand the data and gather useful information from it. In September, the social media giant launched a line of "smart glasses" called Ray-Ban Stories, which carry a digital camera and other features. Much like the Google Glass project, which met mixed reviews in 2013, this one has prompted complaints of privacy invasion. Tickets to TNW Conference 2022 are available now!

What is the impact of artificial intelligence (AI) and big data on societies in the Indo-Pacific?

Neuronal representations within artificial neural networks are commonly understood as logits, representing the log-odds score of presence (versus absence) of features within the stimulus. Under this interpretation, we can derive the probability $P(x_0 \land x_1)$ that a pair of independent features are both present in the stimulus from their logits. By converting the resulting probability back into a logit, we obtain a logit-space equivalent of the AND operation. However, since this function involves taking multiple exponents and logarithms, it is not well suited to be directly used within neural networks. We thus constructed an efficient approximation named $\text{AND}_\text{AIL}$ (the AND operator Approximate for Independent Logits) utilizing only comparison and addition operations, which can be deployed as an activation function in neural networks. Like MaxOut, $\text{AND}_\text{AIL}$ is a generalization of ReLU to two-dimensions. Additionally, we constructed efficient approximations of the logit-space equivalents to the OR and XNOR operators. We deployed these new activation functions, both in isolation and in conjunction, and demonstrated their effectiveness on a variety of tasks including image classification, transfer learning, abstract reasoning, and compositional zero-shot learning.

Prof Marc Stettler, transport and environment lecturer at Imperial College London, says changing the altitude of fewer than 2% of flights could potentially reduce contrail-linked climate change by a staggering 59%. "Tweaking the flight elevation by just a thousand feet can stop some contrails from forming," he explains.

Which languages and language-users are prioritized by digital platforms? Speakers of non-dominant languages are disproportionately subject to algorithmic harms.¹ They confront content moderation algorithms that "only work in certain languages"² on platforms that structurally omit non-Western nations from governance considerations. I call this tendency algolinguicism -- a matrix of automated processes that minoritize language-users outside the Global North and obstruct their access to political participation. This essay addresses digital platforms as sites of algolinguicism.

Robots are hard, and in a lot of ways home robots are doubly so. That no one has managed to crack the code beyond the wild success of robotic vacuums like the Roomba is not for lack of trying. To date, it's largely been the realm of startups like Anki and Jibo (or the rare exception of the Bosch-created Kuri), but today, Amazon announced that it's throwing its own tremendous resources behind the problem. The company just announced its first robot, Astro. The product is taking its first baby steps to market as part of Amazon's Day One Edition program.

Artificial intelligence (AI) is transforming the landscape of 21st century marketing. Long gone are the days of throwing spaghetti on the wall and shooting in the dark to acquire new customers and to regain their business. With the amount of data growing exponentially on a daily basis, AI can help businesses scale their marketing efforts and leverage the data for actionable insights leading to greater ROI. Look up the term "marketing" and you'll find something that mentions actions or activities involving a business or company, promoting or selling products or services. Is that something that you or your company does?

Giving a definition of Artificial Intelligence is not easy especially for its many areas of application. So, what is Artificial Intelligence from a computer science point of view? It is the discipline that studies all the theories and techniques useful for the elaboration of an algorithm that, using cognitive methods, is able to process a large amount of data. Software that uses AI provides a probabilistic output that is different from the deterministic output generated by traditional software. Now let's look specifically at how it differs from human reasoning and what we mean by neural networks, machine learning, and deep learning.

The development of Deep Learning computer algorithms in conjunction with the proliferation of high-resolution cameras have helped revolutionize …