Answers were'surprisingly stable' across 4,380 survey participants. Breakthroughs, discoveries, and DIY tips sent every weekday. Some decisions are relatively easy to make: "What do I want to eat for dinner?" is low-risk and comparatively inconsequential in the grand scheme of things. Other scenarios, however, are much, more difficult . But what choices do people struggle with the most?

The AI bubble is heading towards a burst but it won't be the end of AI Economists, bankers and even the boss of OpenAI are warning of a rapidly inflating AI bubble. If and when it bursts, what will happen to the technological breakthroughs of the past few years? The hundreds of billions of dollars being spent on AI seem to have inflated a global financial bubble that's now fit to burst, leaving companies and investors at risk of holding vast debt that cannot be serviced by the meagre revenue brought in by current AI services. But what does that mean for the future of the technology underpinning this financial feeding frenzy? In recent weeks, warnings of a potential AI bubble have come from the International Monetary Fund, the Bank of England, the head of the largest US bank, and even OpenAI boss Sam Altman .

Interacting with knowledge graphs can be a daunting task for people without a background in computer science since the query language that is used (SPARQL) has a high barrier of entry. Large language models (LLMs) can lower that barrier by providing support in the form of Text2SPARQL translation. In this paper we introduce a generalized method based on SPINACH, an LLM backed agent that translates natural language questions to SPARQL queries not in a single shot, but as an iterative process of exploration and execution. We describe the overall architecture and reasoning behind our design decisions, and also conduct a thorough analysis of the agent behavior to gain insights into future areas for targeted improvements. This work was motivated by the Text2SPARQL challenge, a challenge that was held to facilitate improvements in the Text2SPARQL domain.

An industry-backed researcher who has forged a career sowing doubt about the dangers of pollutants is attempting to use artificial intelligence (AI) to amplify his perspective. Louis Anthony "Tony" Cox Jr, a Denver-based risk analyst and former Trump adviser who once reportedly claimed there is no proof that cleaning air saves lives, is developing an AI application to scan academic research for what he sees as the false conflation of correlation with causation. Cox has described the project as an attempt to weed "propaganda" out of epidemiological research and perform "critical thinking at scale" in emails to industry researchers, which were obtained via Freedom of Information Act requests by the Energy and Policy Institute, a non-profit advocacy group, and exclusively reviewed by the Guardian. He has long leveled accusations of flimsiness at research linking exposure to chemical compounds with health dangers, including on behalf of polluting interests such as cigarette manufacturer Philip Morris and the American Petroleum Institute – a fossil fuel lobbying group he has even allowed to "copy edit" his findings. Both the tobacco and oil industries have a history of weaponizing scientific uncertainty, experts say, with some arguing that similar tactics drive the Trump administration's current deregulatory efforts. The president's May "gold standard" science order, for instance, empowered his appointees to "correct scientific information" and "discipline" those who breach the administration's views, prompting outrage from some scientists. Cox has obtained funding to develop the new AI reviewer from the American Chemistry Council (ACC), the nation's largest chemical industry advocacy group, which counts oil and chemical giants such as Exxon and DuPont as members.

Corporations are using software to monitor employees on a large scale. Some experts fear the data these tools collect could be used to automate people out of their jobs.

Until recently, artificial intelligence researchers have frowned upon the application of probability propagation in Bayesian belief net(cid:173) works that have cycles. The probability propagation algorithm is only exact in networks that are cycle-free. However, it has recently been discovered that the two best error-correcting decoding algo(cid:173) rithms are actually performing probability propagation in belief networks with cycles. Our increasingly wired world demands efficient methods for communicating bits of information over physical channels that introduce errors. Examples of real-world channels include twisted-pair telephone wires, shielded cable-TV wire, fiber-optic cable, deep-space radio, terrestrial radio, and indoor radio.

If the recent Jumanji film reboots have taught us nothing else – and they haven't – they have demonstrated how much fun there is to be had with dropping characters from our familiar world into outlandish fantasy settings. Forspoken has the same potential: its protagonist Frey is accustomed to the harsh realities of surviving in the scruffier corners of Hell's Kitchen, New York, and her problems gravitate around harbouring debts to petty criminals and remembering to feed her cat. So when Frey puts on a bracelet in an abandoned tenement for reasons best not examined too closely and she's transported into the quasi-medieval world of Athia, you think to yourself: here we go. It's a great fish-out-of-water setup that allows for witty observations about video game fantasy worlds and the bizarre tropes within them that we generally don't bat an eyelash at. And with a writing team including Uncharted's Amy Hennig and Rogue One co-writer Gary Whitta, expectations are pitched high.

There's not much to say about the open world gameplay that hasn't been said with every other game of this type. The map is large and cavernous, and beautifully designed, but it's just scattered with waypoints for activities. Don't get too excited about the "dungeon" areas: They're all cut and paste hallways and combat rooms with treasure chests, never deviating from a very bland format. I wouldn't have bothered if these dungeons hadn't promised more capes for Frey to wear, so at least they offer worthy rewards. Other areas have ruins to "explore," which only means looking around to fight more monsters, while statues just need a bit of magic shoot bang to unlock statistic points.

Deep Genomics, an artificial intelligence startup founded by the University of Toronto's Brendan Frey, has secured US$180 million from investors, including Japanese multinational Softbank and Canada Pension Plan Investments, the Globe and Mail reported. Launched in 2015, the startup uses machine learning to develop treatments for genetic diseases. According to the Globe and Mail, Deep Genomics currently has 10 drugs in pre-clinical development, four of which are set to enter human trials by mid-2023. It is also working with San Francisco Bay-area biopharmaceutical company BioMarin Pharmaceutical Inc. to identify drug candidates for rare diseases. "These are all new chemical entities that would not exist" without Deep Genomics' technology," Frey, who is CEO of Deep Genomics and a professor in U of T's Faculty of Applied Science & Engineering, told the Globe.

For years, we've been hearing about major AI initiatives in international enterprises. Companies afraid of being left behind in the AI revolution pushed its implementation a whopping 270 percent from 2015 to 2019, according to Gartner report that surveyed more than 3,000 executives in 89 countries. Along with industry, AI is also enabling our modern smart homes, and has even found its way into gaming and leisure activities. AI's increasing presence has attracted no small amount of criticism, and often with good reason. Last year, an AI-powered "DeepNude" web project that enabled users to remove peoples' clothing in images (trained mostly on women) drew sharp criticism and was taken down by developers. A few months ago "Genderify," an AI-powered tool designed to identify a person's gender by analyzing their name, username or email address, triggered a backlash on social media and was also shut down.