Today, social media users want serendipitous shopping experiences — where new brands and ideas pop up on their feeds like wizened wizards in an RPG. In this world, your social media profile is your shop window. How you dress it up, counts. If you’re a solopreneur or an influencer, social media will likely be one of the first touchpoints your audience will have with your brand and it will be the key to expanding your reach to new audiences in the future. Of course, when you’re running a company of one, time is in short supply.
What if wearable electronics could monitor your health and detect diseases even before symptoms appear? That’s exactly the vision of Sihong Wang and his research team at the University of Chicago’s Pritzker School of Molecular Engineering (PME). “With this work we’ve bridged wearable technology with artificial intelligence and machine learning to create a powerful device which can analyze health data right on our own bodies,” Wang says. Greetings, humanoids Subscribe to our newsletter now for a weekly recap of our favorite AI stories in your inbox. The assistant professor and his team envision a future where wearable biosensors can track indicators of health, including sugar, oxygen, and metabolites in people’s blood.
Experts believe some 80-percent of the universe could be made up of a mysterious substance called “dark matter.” Some even think there’s an entire group of particles forming a “dark sector” that could be as complex as the matter and antimatter families. Unfortunately, the quest to finally observe dark matter is hitting a wall. Simply put we need more particle colliders. And whether they get built is, seemingly, completely up to the powers-that-be in the European and US political arenas. Cash rules everything The development of particle colliders has been one of humankind’s most expensive scientific endeavors.
Two Stanford heavyweights have weighed in on the fiery AI sentience debate — and the duo is firmly in the “BS” corner. The wrangle recently rose to a crescendo over arguments about Google’s LaMDA system. DeveloperBlake Lemoine sparked the controversy. Lemoine, who worked for Google’s Responsible AI team, had been testing whether the large-language model (LLM) used harmful speech. Greetings, humanoids Subscribe to our newsletter now for a weekly recap of our favorite AI stories in your inbox. The 41-year-old told The Washington Post that his conversations with the AI convinced him that it had a sentient mind.
Litigants could game Wikipedia to influence legal decisions, according to new research. A study led by Neil Thompson from MIT’s Computer Science and AI Laboratory (CSAIL) discovered that judges were more likely to cite legal cases that have a Wikipedia article. The finding has sparked concerns that judicial decisions are being shaped by unreliable information. The openness of Wikipedia could also lead legal judgements to be manipulated. Greetings, humanoids Subscribe to our newsletter now for a weekly recap of our favorite AI stories in your inbox. “A well-resourced litigant could encourage his legal team to anonymously integrate their own analysis of a relevant precedent into a Wikipedia article at an early stage of litigation, in the hope of later attracting the attention of the judge or his clerk,” Thompson told TNW.
This article is part of our coverage of the latest in AI research. Large language models like GPT-3 have advanced to the point that it has become difficult to measure the limits of their capabilities. When you have a very large neural network that can generate articles, write software code, and engage in conversations about sentience and life, you should expect it to be able to reason about tasks and plan as a human does, right? Wrong. A study by researchers at Arizona State University, Tempe, shows that when it comes to planning and thinking methodically, LLMs perform very poorly, and suffer from many of the same failures observed in current deep learning systems.
You might think new ideas in food startups are done to death. From ghost kitchens to 10- minute grocery deliveries, many people buy and cook our food, so we don’t have to. Now, a US company called Wonder has created an entirely new business model: chefs-on-wheels. It’s a somewhat novel idea. Consumers order food through a mobile app. The food is par-cooked (in ghost or restaurant kitchens), but it comes to you in a van equipped with a kitchen and a chef that finishes your meal in the truck right outside your door — using equipment like sous vides and speciality ovens.
AAA research shows that consumers may encounter as many as 20 names for a singleadvanced driver assistance system (ADAS) feature. For example, take blind spot warning. This functionality detects vehicles in the blind spot while driving and notifies the driver of their presence. Some systems provide an additional warning if the driver activates the turn signal). Audi calls blind spot warning “Audi side assist,” while Toyota calls it “blind spot monitor.” On some GM vehicles, it’s called “side blind zone alert.” Hi there, EV nerd! Subscribe now for a weekly recap of our favorite mobility stories
Saudi Arabia may be famous for medieval barbarism and oil, but the kingdom is rebranding as a futuristic ecotopia. The latest showcase of this unlikely vision is The Line, a mirrored city that’s 500m tall, 200m wide, and 170km long. The metropolis will purportedly have a population of 1.5 million people by 2045. The project is projected to cost up to $1 trillion. Greetings, humanoids Subscribe to our newsletter now for a weekly recap of our favorite AI stories in your inbox. Future residents are promised “a civilizational revolution” with no cars, roads, or emissions.
