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- by Mark BorgImagine never having to click through a software application again. Ever. The days of finding yourself staring blankly at the first screen of a new tool and wondering “What do I do now?” are disappearing. AI is quietly changing the way software is built and it’s a massive deal. Instead of software applications that users […]
- by Mark BorgAI has always been a bit of a runaway train. It’s exciting. It’s cool. It’s a bit irresponsible. But the train is finally starting to hit the brakes. And depending on which side of the tracks you are on, that is either a good thing… or a very bad thing. So let’s start with regulation. […]
- by Mark BorgApple just took an understated step that speaks volumes. No big event. No big announcement. A hiring. Apple hired a Google executive, Lilian Rincon, who previously worked on AI products at the tech giant. This comes after the Cupertino-based tech giant partnered with Google’s Gemini AI to improve its digital assistant, Siri. It does sound […]
- by Mark BorgOk, I’m going to ask this question, even though I already know the answer. When was the last time you used Siri for something critical? I thought so. It’s been around for a while, but it hasn’t necessarily been useful. That may change soon. Apparently, Apple is building a new version of Siri from scratch, […]
- by Mark BorgVal Kilmer is returning to the screen. But not exactly. Not in some retro montage. Not in a long-gone flashback. No, I’m talking about the real deal. Well, sort of. This time, he’ll be brought to life via AI. I can’t blame you if you’re both amazed and a bit disturbed by this news. The […]
- by Mark BorgThe results from 2025 are intriguing. Screens are part of everyday life that many of us use for work, communication and entertainment. However, there are also signs that people are limiting their screen time. The total hours we are spending on screens has not really changed, but digging deeper, there is some change. We are […]
- Despite their sophisticated general-purpose capabilities, Large Language Models (LLMs) often fail to align with diverse individual preferences because standard post-training methods, like Reinforcement Learning with Human Feedback (RLHF), optimize for a single, global objective. While Group Relative Policy Optimization (GRPO) is a widely adopted on-policy reinforcement learning framework, its group-based normalization implicitly assumes that all […]
- We introduce ProText, a dataset for measuring gendering and misgendering in stylistically diverse long-form English texts. ProText spans three dimensions: Theme nouns (names, occupations, titles, kinship terms), Theme category (stereotypically male, stereotypically female, gender-neutral/non-gendered), and Pronoun category (masculine, feminine, gender-neutral, none). The dataset is designed to probe (mis)gendering in text transformations such as summarization and […]
- Policy gradient algorithms have driven many recent advancements in language model reasoning. An appealing property is their ability to learn from exploration on their own trajectories, a process crucial for fostering diverse and creative solutions. As we show in this paper, many policy gradient algorithms naturally reduce the entropy—and thus the diversity of explored trajectories—as […]
- Synthetic data can improve generalization when real data is scarce, but excessive reliance may introduce distributional mismatches that degrade performance. In this paper, we present a learning-theoretic framework to quantify the trade-off between synthetic and real data. Our approach leverages algorithmic stability to derive generalization error bounds, characterizing the optimal synthetic-to-real data ratio that minimizes […]
- Existing feed-forward 3D Gaussian Splatting methods predict pixel-aligned primitives, leading to a quadratic growth in primitive count as resolution increases. This fundamentally limits their scalability, making high-resolution synthesis such as 4K intractable. We introduce LGTM (Less Gaussians, Texture More), a feed-forward framework that overcomes this resolution scaling barrier. By predicting compact Gaussian primitives coupled with […]
- It is challenging to generate the code for a complete user interface using a Large Language Model (LLM). User interfaces are complex and their implementations often consist of multiple, inter-related files that together specify the contents of each screen, the navigation flows between the screens, and the data model used throughout the application. It is […]
- DNA robots are emerging as tiny programmable machines that could one day deliver drugs, hunt viruses, and build molecular-scale devices. By borrowing ideas from traditional robotics and combining them with DNA folding techniques, scientists are creating structures that can move and act with precision. These robots can be guided using chemical reactions or external signals […]
- A new tomato-picking robot is learning to think before it acts. Instead of simply identifying ripe fruit, it predicts how easy each tomato will be to harvest and adjusts its approach accordingly. This smarter strategy boosted success rates to 81%, with the robot even switching angles when needed. The breakthrough could pave the way for […]
- Artificial intelligence is often portrayed as a tool that replaces human work, but new research from Swansea University suggests a far more exciting role: creative collaborator. In a large study with more than 800 participants designing virtual cars, researchers found that AI-generated design galleries sparked deeper engagement, longer exploration, and better results.
- As AI systems began acing traditional tests, researchers realized those benchmarks were no longer tough enough. In response, nearly 1,000 experts created Humanity’s Last Exam, a massive 2,500-question challenge covering highly specialized topics across many fields. The exam was engineered so that any question solvable by current AI models was removed. Early results show even […]
- As millions turn to ChatGPT and other AI chatbots for therapy-style advice, new research from Brown University raises a serious red flag: even when instructed to act like trained therapists, these systems routinely break core ethical standards of mental health care. In side-by-side evaluations with peer counselors and licensed psychologists, researchers uncovered 15 distinct ethical […]
- Qubits, the heart of quantum computers, can change performance in fractions of a second — but until now, scientists couldn’t see it happening. Researchers at NBI have built a real-time monitoring system that tracks these rapid fluctuations about 100 times faster than previous methods. Using fast FPGA-based control hardware, they can instantly identify when a […]
- by Adam Zewe | MIT NewsMIT researchers developed a testing framework that pinpoints situations where AI decision-support systems are not treating people and communities fairly.
- by Adam Zewe | MIT NewsBy quickly generating aesthetically accurate previews of fabricated objects, the VisiPrint system could make prototyping faster and less wasteful.
- by Zach Winn | MIT NewsA new model measures defects that can be leveraged to improve materials’ mechanical strength, heat transfer, and energy-conversion efficiency.
- by Benjamin Daniel | School of Humanities, Arts, and Social SciencesMariano Salcedo ’25, a master’s student in the new Music Technology and Computation Graduate Program, is designing an AI to visualize and express music and other sounds.
- by Stephanie Martinovich | Department of Civil and Environmental EngineeringAn AI model generates novel proteins based on how they vibrate and move, opening new possibilities for dynamic biomaterials and adaptive therapeutics.
- by Adam Zewe | MIT NewsThis new approach adapts to decide which robots should get the right of way at every moment, avoiding congestion and increasing throughput.
Usefull News Links
https://www.artificialintelligence-news.com/
https://www.sciencedaily.com/news/computers_math/artificial_intelligence/
https://venturebeat.com/category/ai/
https://gizmodo.com/science/artificial-intelligence
https://news.mit.edu/topic/artificial-intelligence2
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