#machine-learning

#machine-learning

The ever-evolving nature of IT operations and the growing complexity of modern technology environments have clearly spelled the need for AIOps tools. AIOps, or Artificial Intelligence for IT Operations, uses artificial intelligence (AI) and machine learning (ML) technologies to enhance and automate various IT operation tasks. AIOps platforms are designed to analyze and interpret data generated from various IT operations tools and platforms, providing service assurance and insights, automating routine tasks, and helping organizations detect and resolve issues more efficiently.

The marketing material shows natural light flooding through floor-to-ceiling windows. But in real life, neighbors can easily see inside the apartment; the view outside includes a parking lot; and the oversized windows mean costlier energy bills. ViewScore.io , a new software tool created by researchers in the Environmental Systems Lab and Housing Innovation Lab in the College of Architecture, Art and Planning (AAP), can simulate and score such scenarios, helping building designers optimize window views along with energy efficiency. The technology could also be used to inform green building standards, and to help consumers decide which home to rent or hotel room to reserve.

The climate crisis will continue making lightning-sparked wildfires more frequent for decades to come, which could produce cascading effects and worsen public safety and public health, experts and new research suggest. Lightning-caused fires tend to burn in more remote areas and therefore usually grow into larger fires than human-caused fires. That means a trend toward more lightning-caused fires is also probably making wildfires more deadly by producing more wildfire smoke and helping to drive a surge in air quality issues from coast to coast,

SaaS personalization tools are software powered by Artificial Intelligence (AI) and Machine Learning (ML). The top AI personalization tools allow you to create highly personalized content and suggestions for users based on past behavior and actions. Right now, this type of software leverages the power of AI tools like ChatGPT, Gemini, or Claude to help you form powerful AI workflows, gifting them with a form of intelligence that is truly spectacular.

The security of Electronic Control Units (ECUs) has become paramount due to the interconnected nature of modern vehicles, leading to vast and vulnerable attack surfaces.

Vamvakas et al. (2008) presented a complete OCR methodology for recognizing historical documents, effective for both machine-printed and handwritten formats through adaptable processes.

Qwen3-Coder-480B-A35B delivers SOTA advancements in agentic coding and code tasks, matching or outperforming Claude Sonnet-4, GPT-4.1, and Kimi K2. The 480B model achieves a 61.8% on Aider Polygot and supports a 256K token context, extendable to 1M tokens.

Attackers can intentionally feed misleading data into a system, causing AI to learn incorrect patterns. This can lead to dangerous consequences for operations and public safety.

Join Coursedog's Platform team to architect and deliver the AI infrastructure powering Intelligent Academic Operations. You'll design orchestration pipelines and AI integration frameworks.

Visualizing complex Keras models can significantly enhance understanding of model architecture, making it easier to track changes and debug code.

To evaluate the generation quality of singing vocals, we utilize the Mean Opinion Score (MOS) to gauge the naturalness of the synthesized vocal.

OpenAI has announced the release of two new generative models, gpt-oss-120b and gpt-oss-20b, which are open-weight models available for personal hardware usage.

AppLovin, a technology company for app developers, reports an impressive 71% increase in Q1 2025 revenues, totaling $1.16 billion, with anticipated ongoing momentum.

The AI talent wars have reached new heights, with tech companies offering hundreds of millions to lure top machine learning researchers, likening them to pro athletes.

The shift from deterministic code to probabilistic AI has created a fundamental crisis in Quality Assurance (QA), as traditional testing assumes predictable inputs and outputs.

Time travel in Apache Iceberg allows users to precisely identify which data snapshot produced exceptional results, eliminating the need to sift through production logs.

Meta's Audio-Visual Dyadic Motion Models utilize audio inputs from two individuals or language models to generate realistic facial expressions and body gestures, enhancing virtual interactions.

Autonomous vehicles are being tested and incorporated into transportation systems, leveraging AI and sensor technologies to transform mobility, cargo movement, and user interaction.

The way it assimilated the information and presented it was really quite remarkable. And that's when I realized this is not just an incremental advance.