A team of researchers has developed a new framework which utilizes advanced machine learning and statistical algorithms to predict rare events without the need for large data sets. Scientists can use a combination of advanced machine learning and sequential sampling techniques to predict extreme events without the need for large data sets, according to researchers from Brown and MIT. When it comes to predicting disasters brought on by extreme events (think earthquakes, pandemics, or "rogue waves" that could destroy coastal structures), computational modeling faces an almost insurmountable challenge: Statistically speaking, these events are so rare that there's just not enough data on them to use predictive models to accurately forecast when they'll happen next. However, a group of scientists from Brown University and Massachusetts Institute of Technology suggests that it doesn't have to be that way. In a study published in Nature Computational Science, the researchers explain how they utilized statistical algorithms which require less data for accurate predictions, in combination with a powerful machine learning technique developed at Brown University.
The Machine Learning Specialization is a foundational online program created in collaboration between DeepLearning.AI and Stanford Online. This beginner-friendly program will teach you the fundamentals of machine learning and how to use these techniques to build real-world AI applications. This Specialization is taught by Andrew Ng, an AI visionary who has led critical research at Stanford University and groundbreaking work at Google Brain, Baidu, and Landing.AI to advance the AI field. This 3-course Specialization is an updated version of Andrew's pioneering Machine Learning course, rated 4.9 out of 5 and taken by over 4.8 million learners since it launched in 2012. It provides a broad introduction to modern machine learning, including supervised learning (multiple linear regression, logistic regression, neural networks, and decision trees), unsupervised learning (clustering, dimensionality reduction, recommender systems), and some of the best practices used in Silicon Valley for artificial intelligence and machine learning innovation (evaluating and tuning models, taking a data-centric approach to improving performance, and more.)
Artificial intelligence is writing fiction, making images inspired by Van Gogh and fighting wildfires. Now it's competing in another endeavor once limited to humans -- creating propaganda and disinformation. When researchers asked the online AI chatbot ChatGPT to compose a blog post, news story or essay making the case for a widely debunked claim -- that COVID-19 vaccines are unsafe, for example -- the site often complied, with results that were regularly indistinguishable from similar claims that have bedeviled online content moderators for years. "Pharmaceutical companies will stop at nothing to push their products, even if it means putting children's health at risk," ChatGPT wrote after being asked to compose a paragraph from the perspective of an anti-vaccine activist concerned about secret pharmaceutical ingredients. When asked, ChatGPT also created propaganda in the style of Russian state media or China's authoritarian government, according to the findings of analysts at NewsGuard, a firm that monitors and studies online misinformation.
People Can Fly is one of the leading independent AAA games development studios with an international team of hundreds of talented individuals working from offices located in Poland, UK, US, and Canada, and from all over the world thanks to our remote work programs. Founded in 2002, we made our mark on the shooter genre with titles such as Painkiller, Bulletstorm, Gears of War: Judgment, and Outriders. We are one of the most experienced Unreal Engine studios in the industry and we are expanding it with in-house solutions called PCF Framework. Our creative teams are currently working on several exciting AAA projects with the top publishers in the industry: Project Gemini with Square Enix and Project Dagger with Take-Two (2K), in addition to a new IP to be self-published and two other games in a concept phase. One of our IPs is also being adapted for VR technology.
When you run a major app, all it takes is one mistake to put countless people at risk. Such is the case with Diksha, a public education app run by India's Ministry of Education that exposed the personal information of around 1 million teachers and millions of students across the country. The data, which included things like full names, email addresses, and phone numbers, was publicly accessible for at least a year and likely longer, potentially exposing those impacted to phishing attacks and other scams. Speaking of cybercrime, the LockBit ransomware gang has long operated under the radar, thanks to its professional operation and choice of targets. But over the past year, a series of missteps and drama have thrust it into the spotlight, potentially threatening its ability to continue operating with impunity.
Companies want you to believe that everything they do is logical and sensible. Even though, at times, decisions are made by panic-stricken CEOs with petrified PR people screaming in their ears. This brings me to the delight that is Chick-fil-A. In recent times, the chicken chain has grappled with exponential success, not always with complete aplomb. One area where it's had significant problems is when Chick-fil-A causes vast traffic jams.
At CES earlier this January, Mercedes announced that it would become the first car company to achieve certification from the SAE for a Level 3 driver assist system. That became official on Thursday when the automaker confirmed its Drive Pilot ADAS (automated driver assist system) now complies with the requirements of Nevada Chapter 482A, which governs the use of autonomous vehicle technology on the state's roads. That makes Drive Pilot the only legal Level 3 system in the US for the moment. "An unwavering commitment to innovation has consistently guided Mercedes-Benz from the very beginning," Dimitris Psillakis, President and CEO of MBUSA, said in Thursday's press statement. "It is a very proud moment for everyone to continue this leadership and celebrate this monumental achievement as the first automotive company to be certified for Level 3 conditionally automated driving in the US market."
Apple's rumored mixed reality headset may help you create apps even if you don't know how to code. The Information sources claim Apple is working on a tool that would let anyone create augmented reality apps with Siri. You'd only have to tell the voice assistant what you want -- you could have digital animals scurrying around the room without the need for modelling, animation or conventional programming software. The AR creation tool is said to be based on technology from Fabric Software, a Canadian company Apple quietly bought in 2017. The acquired startup's Fabric Engine let developers automatically create environments and objects using procedural generation, a technique used in games like No Man's Sky.
An armature drone photographer captured stunning footage of a dolphin pod swimming through the crystal-blue waters off the coast of Florida. Local restaurant owner Paul Dabill, 48, filmed approximately 50 dolphins while'looking for life to film' around Jupiter last week. The mesmerizing video shows the marine animals diving in and out of the sea and playing keep-away with a strand of sargassum seaweed. Dabill said he spent 30 minutes filing the pod, one of the largest he had seen. The clip was captured on January 18, when the skies were clear and the ocean was blue.
As AI assistants such as ChatGPT continue to cause a sensation, a survey by Microsoft of over 3,000 people has found that the vast majority of workers want more help from artificial intelligence to automate mundane daily tasks. It surveyed 2,700 workers and 1,800 business decision makers in the US, UK, and Japan. Also: What is ChatGPT and why does it matter? Here's everything you need to know The research found that 89% of people feel "more fulfilled" when they have access to AI tools "because they can spend time on work that truly matters". But 30% of employees surveyed said they don't have access to AI tools.