Artificial Intelligence (AI) and machine learning are paving the way in digital marketing at the moment. It is a huge and ever growing technology, which is being recognised now by many large companies. Just last month (September 2021), Oracle Corp incorporated AI into it's digital marketing campaigns in order to qualify their potential leads. Instead of their sales team rifling through thousands of wasted leads, they have employed an AI system which automatically determines whether a person who is interacting with their content (advertisements, emails, social media posts etc), is going to end up being a sale for them. If they are, their contact details will be sent to the sales team.
Tesla Inc. shares rallied to a record high on Friday, taking the electric-vehicle maker another step closer to joining an elite group of companies with market valuations of at least $1 trillion. The stock jumped as much as 1.8% to touch a high of $910, before closing at $909.68 in New York. That drove the Elon Musk-led automaker to briefly overtake the valuation of Facebook Inc. The trailblazing electric-vehicle maker is up 29% this year, ahead of S&P 500 Index's 21% advance. Meanwhile, Facebook took a heavy hit on Friday after a cautious outlook from Snapchat parent Snap Inc. weighed on the shares of ad-dependent technology companies.
Hosted by Ben Byford, The Machine Ethics Podcast brings together interviews with academics, authors, business leaders, designers and engineers on the subject of autonomous algorithms, artificial intelligence, machine learning, and technology's impact on society. Tim El-Sheikh is a biomedical scientist, entrepreneur, and CEO and co-founder of Nebuli, the world's first Augmented Intelligence Studio. A self-taught coder since the age of 10, he has a real passion for designing and intelligent algorithms. After a master's degree in Computer Science and Information Technology, Tim combined his experience in design, neuroscience, and engineering to start as an entrepreneur in online multitier system architectures in the media and advertising sectors, scientific publishing, and social enterprises. From there, he founded Nebuli, an augmented Intelligence studio that focuses on building dynamic user experiences, solving complex problems and bringing positive impact into people's lives by harnessing the power of ethical AI.
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!
Facebook announced a research project Thursday that aims to develop an artificial intelligence capable of perceiving the world like a human being. The project, titled Ego4D, aims to train an artificial intelligence (AI) to perceive the world in the first-person by analyzing a constant stream of video from people's lives. This type of data, which Facebook calls "egocentric" data, is designed to help the AI perceive, remember and plan like a human being. "Next-generation AI systems will need to learn from an entirely different kind of data -- videos that show the world from the center of the action, rather than the sidelines," Kristen Grauman, lead AI research scientist at Facebook, said in the announcement. The project aims to improve AI technology's capacity to accomplish human processes by setting five key benchmarks: "episodic memory," in which the AI ties memories to specific locations and times, "forecasting," "social interaction," "hand and object manipulation" and "audio-visual diarization," in which the AI ties auditory experiences to specific locations and times.
FACT-Finder, a company that offers ecommerce companies tools to personalize their site with things like AI-driven recommendations, said it has acquired Loop54, a company that provides personalized search results. It's the latest in a trend of consolidation in the ecommerce world, where a host of companies arose to offer personalization with new technologies like AI, but now the bigger companies are gobbling up the smaller ones -- and specifically in the ecommerce software-as-a-service (SaaS) search market. On the smaller side, we reported last week on Coveo's acquisition of AI-powered personalization provider Qubit. On the much bigger side, yesterday, reports emerged that PayPal is making a $45 billion bid for e-commerce giant Pinterest. "With the expertise and unique approach that our new colleagues at Loop54 bring to the table, we will significantly expand our market leadership and push the bounds of what is possible in e-commerce," said Emile Bloemen, CEO of FACT-Finder.
Large-area electronics (LAE) is an emerging technology for electronic device manufacture, such as printing or large-scale lithography, the process used to create flat panel displays and solar cells. Using LAE processes, engineers could create systems that are large (several square meters squared) and highly flexible; for instance, based on paper or plastic. Over the past decade or so, many teams worldwide have been working on LAE systems. This has led to the creation of numerous innovative devices, such as large, flexible and sensing artificial skins for robots. Researchers at Princeton University have recently realized a new wireless system based on LAE technology that can operate at gigahertz frequencies.
Recently, we released our report on foundation models, launched the Stanford Center for Research on Foundation Models (CRFM) as part of the Stanford Institute for Human-Centered AI (HAI), and hosted a workshop to foster community-wide dialogue. Our work received an array of responses from a broad range of perspectives; some folks graciously shared their commentaries with us. We see open discourse as necessary for forging the right norms, best practices, and broader ecosystem around foundation models. In this blog post, we talk through why we believe these models are so important and clarify several points in relation to the community response. In addition, we support and encourage further community discussion of these complex issues; feel free to reach out at firstname.lastname@example.org.
At I/O 2021, Google reiterated its commitment to Matter with a handful of smart home-related Nest and Android updates. If you need a refresher, Matter was known as Project CHIP, or Connected Home over IP, before a rebranding this past May. It's a pact between some of the biggest companies in tech, including Google, Amazon and Apple, that aims to bring standardization to the fragmented smart home space. When it launches in the first half of 2022, it will support a variety of voice assistants and networking protocols, including Alexa, Google Assistant, Siri as well as WiFi, Thread and Bluetooth LE. At its simplest, the promise of Matter is that you'll be able to buy a new device and it will simply work with your existing smart home setup.
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.