#machine-learning

#machine-learning

The U.S. Supreme Court today declined to grant a petition filed by Recentive Analytics, Inc. asking the Court to weigh in on whether the U.S. Court of Appeals for the Federal Circuit's (CAFC's) approach to patent eligibility for machine learning claims is improper. The petition was filed in October following an April 2025 decision by the CAFC that addressed an issue of first impression in the patent eligibility context; the opinion held that "claims that do no more than apply established methods of machine learning to a new data environment" are not patent eligible.

Unlike earlier search engines that primarily matched strings of text, AI search engines interpret the meaning behind the query, allowing for more accurate and relevant results. Examples of AI search engines include Google's recent AI integrations , Microsoft Bing's AI enhancements, and specialized platforms employing AI to tailor search results based on user behavior and preferences. These engines dynamically learn and improve their algorithms to respond more intelligently over time, a capability traditional search lacks.

Gabriel Petersson said on an episode of the "Extraordinary" podcast published on Thursday that he's in a job traditionally only done by people with doctorate degrees because he was able to learn machine learning through ChatGPT. "Universities don't have, like, a monopoly on foundational knowledge anymore," he said. "You can just get any foundational knowledge from ChatGPT." "You start with a problem, you recursively go down," he added.

It seems like an oversimplification, but many real estate agents don't realize they're using AI, or even interacting with AI that's in large part because agentic AI is becoming more commonplace. AI has already had a meaningful impact on the day-to-day lives of real estate agents, even if they don't realize it whether it's the use of major graphic-design platforms like Canva, social media apps, or embedded AI tools within search engines.

Science is a slaughterhouse. We rarely acknowledge the degree to which animal life underwrites the research that provides us with medicines, or the regulation that keeps us safe. Live animals were used in 2.64m officially sanctioned scientific procedures in the UK in 2024, many of them distressing or painful and many of them fatal. But the government's new strategy to phase out animal testing published earlier this month suggests that in the near future emerging technologies

But biology doesn't generate new proteins at that level. Instead, changes have to take place at the nucleic acid level before eventually making their presence felt at the protein level. And the DNA level is fairly removed from proteins, with lots of critical non-coding sequences, redundancy, and a fair degree of flexibility. It's not necessarily obvious that learning the organization of a genome would help an AI system figure out how to make functional proteins.

Since I joined Google in 2018, it has been amazing to see the impact I've had. I started at Google Bangalore in India, where I was part of a team using machine learning and AI on Google Maps. After spending a few years there, I moved to the US in 2021 to work at the Google Mountain View location in California.

Not everyone appreciates the artistry of Jackson Pollock's famous drip paintings, with some dismissing them as something any child could create. While Pollock's work is undeniably more sophisticated than that, it turns out that when one looks at splatter paintings made by adults and young children through a fractal lens and compares them to those of Pollock himself, the children's work does bear a closer resemblance to Pollock's than those of the adults.

This photo was taken in August, in the Sing'isi village in Arusha, northern Tanzania, where my colleagues and I were conducting a field visit to farmers. I was demonstrating how to use a mobile app - named KilimoAI - to examine crop leaves. The app, which we've developed in-house, works by analysing a photograph of the plant to detect possible disease symptoms.

The first game from the development team is Prologue: Go Wayback, a single-player survival roguelike that tasks you with navigating worlds generated through machine-learning technology. It'll be available in early access starting November 20. Greene has stated in the past that he expects players to hate the game at first. The second planned game from the studio "aims to test limited multiplayer, maybe up to 100 versus 100 players," Greene told Eurogamer.

"The developer said it has "evolved" its machine-learning-based anti-cheat measures with the aim of helping the system become "smarter, faster, and fairer." "Our aimbot-detection models are trained to decide whether a player's targeting was performed by a human or an aimbot. In Black Ops 7, these updated models will discriminate between natural aim and cheating with even greater precision by taking what they have learned from real gameplay to catch more cheaters than before," the developer explained."

Apps have been the catalyst to transform how we consume information on mobile by providing brands with controlled content environments. GA4 combines data from the two sources into a single suite. Although this was possible before, GA4 has introduced a new framework to make this far more practical and intuitive. This enables us to glean richer insights with customers behaving very differently across apps and websites.

I've been a little over 30 years in the software development area, in a variety of fields, done consulting, done software development, worked on products, worked with customers. Tried to do a variety of things over the years. The last a little over 12 years have been spent specifically on AI and machine learning, in a variety of contexts. I started at Nokia, working in that with maps and data analysis of users on their mobile devices.

Designed for technicians but also potentially useful for consumers, the new Speedtest Pulse is a dual-mode network diagnostic tool aiming to offer "one tap" troubleshooting at a competitive price point. Its objective is precise: to determine where the network connection bottleneck lies and whether the issue resides with the ISP, the local Wi-Fi, or a specific device. After identifying the problem, the device suggests a fix in natural language.

I would not call myself godmother of anything,

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Artificial Intelligence (AI) and Machine Learning (ML) are the most useful technologies, which are reshaping online learning today. From course suggestions based on the learner's previous coursework to tutoring systems that use AI capabilities, these technologies can build a smarter, data-driven learning experience that adapts to the pace and learning approach of every student. AI in eLearning isn't just about automating actions; it's about providing personalized learning paths that foster engagement, improve the retention of content.

"Overall, the data shows that, generally, smaller law firms have more patent proofreading errors in their work than large law firms." In an ideal world, every patent law firm, from a small practice drafting 50 patents a year to a large firm drafting thousands a year, would deliver patents for their clients that contain no errors. In reality though, patent drafting is complex and tedious work, and errors inevitably occur.

Kohler just launched the Dekoda, a $599 device that clips onto your toilet bowl rim, and before you dismiss it entirely, hear me out. This isn't just a gimmick, it's a health tracker that monitors gut health, hydration levels, and can detect the presence of blood in your toilet. Think of it as a wellness wearable, except you never have to remember to put it on and it's there as you go about your toilet business.

Email subject lines determine whether your carefully crafted campaigns ever see the light of day - yet most marketers still rely on gut instinct and basic A/B testing to choose them. What if you could predict which subject lines will resonate with your audience before hitting send? AI email subject line optimization makes this possible by analyzing millions of data points from your actual subscribers' behavior, automatically testing variations, and continuously learning what drives engagement.

On January 1, 2008, at 1:59 AM in Calipatria, California, an earthquake happened. You haven't heard of this earthquake; even if you had been living in Calipatria, you wouldn't have felt anything. It was magnitude -0.53, about the same amount of shaking as a truck passing by. Still, this earthquake is notable, not because it was large but because it was small-and yet we know about it.

If artificial intelligence takes over, some argue, there's little point in studying physics or any science. AI could be doing half your job before you even get your degree. But that argument ignores why people study science in the first place. It's to figure out new things, to ask questions uncurious bots would never dream of. Humans love that whole problem-solving process. It's why they like to get the sides of Rubik's cube to match.

The Department of Veterans Affairs has been using some artificial intelligence capabilities to bolster its suicide prevention efforts, but VA says these tools augment the work of clinicians and are not designed to replace any human-led interventions. Lawmakers, researchers and advocates say that's how these technologies should always be used. This article - the second in a series of pieces about VA's adoption of AI tools to help prevent

Meta has implemented a new machine learning framework for Instagram that applies diversity algorithms to reduce repetitive content while maintaining user engagement. The diversity-aware ranking system addresses overexposure to similar content creators and product types by introducing multiplicative penalties to existing engagement models. The framework tackles two primary problems: excessive messages from the same content creator and overemphasis on single-product surfaces like Stories while neglecting Feed or Reels content.

Researchers have identified a key protein that helps tick-borne encephalitis virus enter the brain. In rare cases an infection can lead to serious neurological symptoms, but little was known about how the virus interacts with human cells. Now, a team show that a protein found on the outside of cells plays an important role in infection. In mouse experiments, they show that blocking the ability of the virus to bind to this protein protected the mice from disease.

Carnegie Mellon University is tapping its strengths in computer and data science to reframe one of its humanities doctoral programs in hopes of preparing graduates to navigate an increasingly tough job market. Starting next fall, the English department at the Pittsburgh-based institution will offer a Ph.D. in computational cultural studies, which it says is the first program of its kind in the country.