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"Admission algorithms can make or break your academic plans. A Washington Post investigation found 44 schools use prediction software to give applicants a score out of 100 for its admissions process. The score considers different aspects of a student's application from test scores, home address, transcripts, and even what websites they've visited. That's all calculated to rate how strong of a match a student is for a school."

""It marks an exciting moment for the field," said Demis Hassabis, DeepMind's founder and chief executive. "These algorithms are now becoming mature enough and powerful enough to be applicable to really challenging scientific problems." Advertisement Venki Ramakrishnan, the president of the Royal Society, called the work "a stunning advance" that had occurred "decades before many people in the field would have predicted"."

"The researchers found that "increasing machine and AI readership … motivates firms to prepare filings that are more friendly to machine parsing and processing". So far, so predictable. But there's more: "firms with high expected machine downloads manage textual sentiment and audio emotion in ways catered to machine and AI readers""

"or its latest update, which it released Wednesday, the COVID-19 Scenario Modeling Hub combined nine different mathematical models from different research groups to get an outlook for the pandemic for the next six months. "Any of us who have been following this closely, given what happened with delta, are going to be really cautious about too much optimism," says Justin Lessler at the University of North Carolina, who helps run the hub. "But I do think that the trajectory is towards improvement for most of the country," he says. The modelers developed four potential scenarios, taking into account whether or not childhood vaccinations take off and whether a more infectious new variant should emerge. "

"The "aging up issue is real," the researcher wrote in an internal memo. They predicted that, if "increasingly fewer teens are choosing Facebook as they grow older," the company would face a more "severe" decline in young users than it already projected"

"Recent advances in AI are likely to spell the end of the traditional school classroom, one of the world's leading experts on AI has predicted. Prof Stuart Russell, a British computer scientist based at the University of California, Berkeley, said that personalised ChatGPT-style tutors have the potential to hugely enrich education and widen global access by delivering personalised tuition to every household with a smartphone. The technology could feasibly deliver "most material through to the end of high school", he said."

"Artificial intelligence and cutting-edge information evaluation software program imply that underwriters can now make predictions in regards to the climate, pure disasters and senile dementia that beforehand "only God knew about", the president of one in all Japan's largest insurance coverage corporations has claimed."

"Brain scans predict students' learning better than exam results and show the underlying structure of thinking. According to recent research published in Science Advances, the conventional exams and grades that schools have long employed may evaluate learning less accurately than brain scans."

"The BBC spoke to several students and parents who vouched for the quality of Byju's learning content - in a country where rote learning is often the norm, Byju's has been credited for deftly using technology to create immersive, engaging lessons. It also claims to have the industry's highest net promoter score (NPS), which measures customer experience and predicts business growth. "

"If you've been job hunting recently, chances are you've interacted with a resume robot, a nickname for an Applicant Tracking System, or ATS. In its most basic form, an ATS acts like an online assistant, helping hiring managers write job descriptions, scan resumes and schedule interviews. As artificial intelligence advances, employers are increasingly relying on a combination of predictive analytics, machine learning and complex algorithms to sort through candidates, evaluate their skills and estimate their performance. Today, it's not uncommon for applicants to be rejected by a robot before they're connected with an actual human in human resources. The job market is ripe for the explosion of AI recruitment tools. Hiring managers are coping with deflated HR budgets while confronting growing pools of applicants, a result of both the economic downturn and the post-pandemic expansion of remote work. As automated software makes pivotal decisions about our employment, usually without any oversight, it's posing fundamental questions about privacy, accountability and transparency."

"It comes as a Guardian investigation reveals the human stories behind scams that originate on Meta's platforms, with a nationwide estimate released this week predicting the tech firm's failure to stamp out fraud will cost UK households £250m during 2023. With someone in the UK said to fall victim to a purchase scam starting on either Facebook or Instagram every seven minutes, the Guardian asked people who had been defrauded on these sites as well as its WhatsApp platform to get in touch. One Facebook user told us she was defrauded of her life savings and got pulled into debt, losing a total of £70,000, after being duped by an investment scam. While some people lost large amounts of money, a stream of unsuspecting online shoppers reported being conned out of smaller amounts when they placed orders with bogus online shops advertised on Facebook and Instagram."

"Now researchers have taken a step forward by combining fMRI's ability to monitor neural activity with the predictive power of artificial intelligence language models. The hybrid technology has resulted in a decoder that can reproduce, with a surprising level of accuracy, the stories that a person listened to or imagined telling in the scanner. The decoder could even guess the story behind a short film that someone watched in the scanner, though with less accuracy."

"The artificial intelligence (AI) industry could consume as much energy as a country the size of the Netherlands by 2027, a new study warns. Big tech firms have scrambled to add AI-powered services since ChatGPT burst onto the scene last year. They use far more power than conventional applications, making going online much more energy-intensive. However, the study also said AI's environmental impact could be less than feared if its current growth slowed. Many experts, including the report author, say such research is speculative as tech firms do not disclose enough data for an accurate prediction to be made."

"AI tool GNoME finds 2.2 million new crystals, including 380,000 stable materials that could power future technologies Modern technologies from computer chips and batteries to solar panels rely on inorganic crystals. To enable new technologies, crystals must be stable otherwise they can decompose, and behind each new, stable crystal can be months of painstaking experimentation. Today, in a paper published in Nature, we share the discovery of 2.2 million new crystals - equivalent to nearly 800 years' worth of knowledge. We introduce Graph Networks for Materials Exploration (GNoME), our new deep learning tool that dramatically increases the speed and efficiency of discovery by predicting the stability of new materials."

"My prediction failed. For a decade and a half, Facebook resisted the fate of all the social networks that preceded it. In hindsight, it's easy to see why: it cheated. The company used investor cash to buy and neutralize competitors ("Kids are leaving Facebook for Insta? Fine, we'll buy Insta. We know you value choice!"). It allegedly spied on users through the deceptive use of apps such as Onavo and exploited the intelligence to defeat rivals. More than anything, it ratcheted up "switching costs.""

"In combining these factors, we arrive at a civilization built upon a technological infrastructure that we fundamentally cannot understand. The same systems that promise us technological emancipation put the whole of society at risk. I vaguely recall a wise man once saying that only the fool builds his house upon sand. And so, how can a society maintain itself if the stones of its foundation are black boxes? Before we answer this question, let's examine the current state of affairs."

"The tools - which aim to cut the time and cost of filtering mountains of job applications and drive workplace efficiency - are enticing to employers. But Schellmann concludes they are doing more harm than good. Not only are many of the hiring tools based on troubling pseudoscience (for example, the idea that the intonation of our voice can predict how successful we will be in a job doesn't stand up, says Schellmann), they can also discriminate."

"Claims that artificial intelligence will help solve the climate crisis are misguided, with the technology instead likely cause rising energy use and turbocharge the spread of climate disinformation, a coalition of environmental groups has warned. Advances in AI have been touted by big tech companies and the United Nations as a way to help ameliorate global heating, via tools that help track deforestation, identify pollution leaks and track extreme weather events. AI is already being used to predict droughts in Africa and to measure changes to melting icebergs."

"According to the data from Predictive Hire, nearly 55% of companies are investing in recruitment automation and believe that it'll enhance efficiency and enable data-driven judgments. For instance, a resume parser, a technology I work with extensively, helps screen resumes and extract candidate data. For the recruiters who are still in limbo about whether or not to go for augmented AI, I've lined up a few benefits that can be helpful as well as some best practices."

"It's an interesting question. I'm almost not sure how to answer it, because there is no thinking happening on the part of an LLM. A large language model takes the prompts and the text that you give it and tries to come up with something that is responsive and useful in relation to that text. And what's interesting is that certain people - I'm thinking of Mark Andreessen most prominently - have talked about how amazing this is conceptually from an education perspective, because with LLMs you will have this infinitely patient teacher. But that's actually not what you want from a teacher. You want, in some sense, an impatient teacher who's going to push your thinking, who's going to try to understand what you're bringing to any task or educational experience, lift up the strengths that you have, and then work on building your knowledge in areas where you don't yet have it. I don't think LLMs are capable of doing any of that. As you say, there's no real thinking going on. It's just a prediction machine. There's an interaction, I guess, but it's an illusion. Is that the word you would use? Yes. It's the illusion of a conversation. "