When you purchase through links in our articles, we may earn a small commission. Sterling Stock Picker uses AI and data-driven tools to help you find stocks, assess risk, and build a portfolio--now available for a one-time $68.99. Investing can feel like a strange mix of research, guesswork, and hoping you didn't miss something important. Sterling Stock Picker tries to simplify things and make investing in stocks less confusing . Instead of digging through endless charts and reports, the platform brings everything into one place.

Ashlin McCourt clocks up 60 hours a week working as a civil servant, a waitress and a baker because life's so expensive, she says. The UK unemployment rate stands at 4.9% - however, increasing numbers of those in work are juggling more than one job. While working in multiple jobs and side hustles has long been a needs must for many households to manage the cost of living, there are now a record 1.35 million adults working at least two jobs. It is mostly Gen Z - adults aged up to 29 - driving this poly-employment trend - according to Deputy, a global workforce management platform, which analysed more than 20 million shifts done by over 300,000 UK workers. For 28-year-old Ashlin from Northern Ireland, having more than one job seems normal.

Mythos: are fears over new AI model panic or PR? - podcast Earlier this month the AI company Anthropic said it had created a model so powerful that, out of a sense of responsibility, it was not going to release it to the public. Anthropic says the model, Mythos Preview, excels at spotting and exploiting vulnerabilities in software, and could pose a severe risk to economies, public safety and national security. But is this the whole story? Some experts have expressed scepticism about the extent of the model's capabilities. Ian Sample hears from Aisha Down, a reporter covering artificial intelligence for the Guardian, to find what the decision to limit access to Mythos reveals about Anthropic's strategy, and whether the model might finally spur more regulation of the industry.

Attendees at the Canton Fair in Guangzhou, China, take pictures of various service robots on display. At the world's largest trade show, it's not just the clientele that had a different look this year. Despite the near absence of buyers wearing a traditional Arab headdress and robe at the Canton Fair, a vast showcase that started last week in China's southern metropolis of Guangzhou, a brash new generation of tech companies stood out just as much. Few wanted to dwell on the war. Even as the conflict in the Middle East once more fractures global commerce, interviews with more than a dozen exporters at the fair found many were already eager to look beyond the hostilities blamed for the worst energy disruption in generations.

Anthropic was founded in 2021 by several former employees of OpenAI. Amazon is investing an additional $5 billion in Anthropic, and may inject $20 billion more over time, a deal that deepens the companies' ties in an increasingly competitive artificial intelligence industry. Anthropic, which makes the Claude chatbot and coding tool, plans to spend more than $100 billion over the next 10 years on Amazon's cloud technologies and chips, the companies said in a statement on Monday. Amazon shares gained about 3% on the news in extended trading. Amazon was already one of Anthropic's biggest backers, with prior investments totaling $8 billion.

A TV screen shows the artist database on Nadou Pro, iQIYI's artificial intelligence product for professional film and television production, during the iQIYI World Conference in Beijing on Monday. Beijing - China's equivalent of Netflix, iQIYI, faced backlash on Monday over a new initiative that facilitates the use of actors' likenesses in artificially generated dramas and films. More than 100 celebrities have joined a platform to connect with makers of AI-generated content interested in using their image, a senior executive told a conference in Beijing. China's entertainment industry has rapidly embraced the use of artificial intelligence, with AI-generated films and shows a common feature on video platforms. In a time of both misinformation and too much information, quality journalism is more crucial than ever.

Things to Do in L.A. Tap to enable a layout that focuses on the article. Woman says chatbot pushed her son to suicide and these'guardrails' are crucial ChatGPT is among companion chatbots that minors use that one legislator said Monday could be "extremely dangerous." This is read by an automated voice. Please report any issues or inconsistencies here . As the mother of a teen boy who killed himself after using a chatbot, Maria Raine said she was dealing with constant grief.

After 15 years, Tim Cook is stepping down as Apple's top executive. At age 65, he leaves behind a hardware juggernaut that, under his leadership, brought about a global smartphone revolution and transformed Apple into one of the most profitable publicly traded companies in history. With a reputation for logistical management, Cook first joined Apple in 1998, overseeing its worldwide sales and operations. In 2009, he temporarily began running day-to-day operations when the company's legendary co-founder, Steve Jobs, took medical leave due to complications from pancreatic cancer. In 2011, just a few months before Jobs's death, Cook took over as CEO.

Conformal prediction provides finite-sample, distribution-free coverage under exchangeability, but standard constructions may lack robustness in the presence of outliers or heavy tails. We propose a robust conformal method based on a non-conformity score defined as the half-mass radius around a point, equivalently the distance to its $(\lfloor n/2\rfloor+1)$-nearest neighbour. We show that the resulting conformal regions are marginally valid for any sample size and converge in probability to a robust population central set defined through a distance-to-a-measure functional. Under mild regularity conditions, we establish exponential concentration and tail bounds that quantify the deviation between the empirical conformal region and its population counterpart. These results provide a probabilistic justification for using robust geometric scores in conformal prediction, even for heavy-tailed or multi-modal distributions.

The inverse Potts problem for estimating evolutionary single-site fields and pairwise couplings in homologous protein sequences from their single-site and pairwise amino acid frequencies observed in their multiple sequence alignment would be still one of useful methods in the studies of protein structure and evolution. Since the reproducibility of fields and couplings are the most important, the Boltzmann machine method is employed here, although it is computationally intensive. In order to reduce computational time required for the Boltzmann machine, parallel, persistent Markov chain Monte Carlo method is employed to estimate the single-site and pairwise marginal distributions in each learning step. Also, stochastic gradient descent methods are used to reduce computational time for each learning. Another problem is how to adjust the values of hyperparameters; there are two regularization parameters for evolutionary fields and couplings. The precision of contact residue pair prediction is often used to adjust the hyperparameters. However, it is not sensitive to these regularization parameters. Here, they are adjusted for the fields and couplings to satisfy a specific condition that is appropriate for protein conformations. This method has been applied to eight protein families.