Specialized search for Machine Learning

1+ hour, 37+ min ago (773+ words) Machine learning failures usually start before modeling, with poor data understanding and preparation. Clean data, strong features, and correct metrics matter more than complex algorithms. Long-term ML success depends on testing, monitoring, and regular updates after deployment. Datasets usually hide missing values, duplicates or columns that are misleading at first glance. Without proper data understanding, the model learns wrong patterns and provides poor results. How to Avoid This: You should study the dataset before you begin modeling. Check basic statistics, value ranges and examples from each column. This step helps understand the project's scope. Also Read: Best GPUs for Machine Learning and AI Workloads Real-world data is usually unstructured. Text may appear in numeric fields, dates might be written in different styles and cells might contain null values. Ignoring these problems can lead to unstable performance. How to Avoid This:…...

1+ day, 3+ hour ago (332+ words) Online lies spread using Artificial Intelligence are causing havoc in conflict zones and resulting in deaths, the Freedom Association has warned. Fake reports of atrocities in countries including Sudan shatter trust and stop people making donations with dire consequences for those in genuine need of help, according to chairman David Campbell Bannerman. He wants AI misinformation treated as an "urgent international danger, warning of the threat to democracy. He said: "Democracies depend on shared facts, accountable institutions, and citizens who can tell truth from manipulation. If AI bots can impersonate real people, dictate narratives, and drown out authentic voices, public debate becomes impossible. Without honest debate, free societies cannot function. In the conflict in Sudan, he said: "AI has been weaponised to spread fabricated images, videos, and crisis reports. Deepfakes have portrayed atrocities that never happened and these have since…...

2+ day, 11+ hour ago (34+ words) Nine American companies have achieved a valuation of $1 trillion or more, and one of them is Tesla. Tesla is on track for a second straight year of declining electric vehicle sales, placing its ......

2+ day, 17+ hour ago (40+ words) Tennessee's first-of-its-kind artificial intelligence law could be in jeopardy. Noem was questioned about her department's deportation practices during a tense hearing in Washington, D.C. Tennessee's first-of-its-kind artificial intelligence law could be in jeopardy....

2+ day, 18+ hour ago (684+ words) Unveiling what it describes as the most capable model series yet for professional knowledge work, OpenAI launched GPT-5.2 today. The model was trained and deployed on NVIDIA infrastructure, including NVIDIA Hopper and GB200 NVL72 systems. It's the latest example of how leading AI builders train and deploy at scale on NVIDIA's full-stack AI infrastructure. AI models are getting more capable thanks to three scaling laws: pretraining, post-training and test-time scaling. Reasoning models, which apply compute during inference to tackle complex queries, using multiple networks working together, are now everywhere. But pretraining and post-training remain the bedrock of intelligence. They're core to making reasoning models smarter and more useful. And getting there takes scale. Training frontier models from scratch isn't a small job. It takes tens of thousands, even hundreds of thousands, of GPUs working together effectively. That level of scale demands excellence…...

2+ day, 22+ hour ago (627+ words) This study leverages advanced genomics and machine learning to refine the understanding of key fruit quality traits in peaches. Using whole-genome resequencing data from an F1 progeny of two distant peach cultivars, the researchers constructed an ultra-high-density genetic map, identifying key quantitative trait loci (QTLs) for traits such as fruit shape, color, and maturity. Notably, the study introduces machine learning models for more accurate phenotyping of fruit color, revealing two previously undetectable QTLs for peach flesh color variation. These innovations provide a new framework for precision breeding, enhancing peach quality and other complex traits through improved mapping and phenotyping strategies. Peach (Prunus persica) is an economically important fruit, and understanding the genetic basis of its quality traits is crucial for breeding. Recent advances in genome sequencing have led to the construction of detailed genetic maps, enabling deeper insights into the inheritance…...

3+ day, 24+ min ago (33+ words) Modifying a deep neural network architecture to resemble natural brains resulted in an AI system that worked more efficiently with less training than standard models, according to a paper from Johns Hopkins University....

3+ day, 1+ hour ago (345+ words) In my Artificial Intelligence (AI) explainer, I have mentioned that AI is a broad concept and its aim is to create machines or computer systems that can perform tasks that require human intelligence. The term "artificial intelligence" was coined in 1956 at Dartmouth College, where researchers gathered and explored whether machines could simulate human cognitive ability. To enable computer systems to mimic human behavior, AI systems can use one of the many techniques: pre-programmed rules, learning from data, predefined algorithms, decision trees, and more. There is no bar on how you achieve Artificial Intelligence. Machine Learning (ML), on the other hand, is a subset of Artificial Intelligence. It's one of the techniques that allow machines to learn patterns from data rather than being explicitly programmed with rules. Basically, while AI is a broad concept, ML is a specific approach that enables AI…...

3+ day, 4+ hour ago (111+ words) ROCHESTER, N.Y. " A new Pew Research survey released on Tuesday says that 28% of teens use artificial intelligence daily. This comes after Pew Research conducted the survey from Sept. 25 to Oct. 9, having asked 1,458 teens online, ages 13 to 17. According to Pew, 64% of teens say they use AI chatbots like ChatGPT or Google Gemini. About 4% of teen respondents said they use AI chatbots "almost constantly," with 12% saying they use them several times daily, according to the study. AI Chatbot usage, according to survey respondents: Opposite to this, Pew found that 36% said they don't use AI chatbots. More of our AI coverage:...

3+ day, 14+ hour ago (35+ words) As 2025 begins to wind down, it will go down as another strong year for artificial intelligence (AI) stocks. Meanwhile, with AI still appearing to be in its early innings, the group could help lead ......