Real-Time AI Agents Reshape Industries
Why it matters: Real-Time AI Agents Reshape Industries by automating decisions and boosting efficiency across key sectors.
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Congratulations to the #AAAI2026 outstanding paper award winners
The AAAI 2026 outstanding paper awards were announced during the opening ceremony of the 40th Annual AAAI Conference on Artificial Intelligence on Thursday 22 January. These awards honour papers that “exemplify the highest standards in technical contribution and exposition”. Papers are recommended for consideration during the review process by members of the Program Committee. This
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Meta Signs EU AI Code to Boost Transparency & Trust
Why it matters: Meta Joins EU AI Transparency Pact as first major tech firm, aligning early with global ethical AI standards.
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What’s coming up at #AAAI2026?
This year, the Annual AAAI Conference on Artificial Intelligence will take place outside of North America for the first time. From Tuesday 20 January to Tuesday 27 January, Singapore will play host to the 40th edition of the conference. The event will feature invited talks, tutorials, workshops, and an extensive technical programme. There are also
How Daniel Fuentes Is Shaping Minority Leadership, Ethical AI, and Innovation in the U.S. Culinary Landscape
The U.S. culinary industry is transforming at an unprecedented pace. Globally, the foodservice market is projected to surpass $4.4 trillion by 2030, driven by shifting consumer expectations, sustainability demands, digital innovation, and a growing focus on health-conscious dining. Today, more than 60% of consumers worldwide say sustainability and ethical sourcing influence where they choose to
Sequence Feature Extraction for Malware Family Analysis via Graph Neural Network
Malicious software (malware) causes much harm to our devices and life. We are eager to understand the malware behavior and the threat it made. Most of the record files of malware are variable length and text-based files with time stamps, such as event log data and dynamic analysis profiles. Using the time stamps, we can
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Auto Quantum Circuits
«AutoQML, self-assembling circuits, hyper-parameterized Quantum ML platform, using cirq, tensorflow and tfq. Trillions of possible qubit registries, gate combinations and moment sequences, ready to be adapted into your ML flow. Here I demonstrate climatechange, jameswebbspacetelescope and microbiology vision applications… [Thus far, a circuit with 16-Qubits and a gate sequence of [ YY ] – [ XX ] – [CNOT]
Scientific Visualization: Python + Matplotlib
The Python scientific visualisation landscape is huge. It is composed of a myriad of tools, ranging from the most versatile and widely used down to the more specialised and confidential. Some of these tools are community based while others are developed by companies. Some are made specifically for the web, others are for the desktop
Between words and characters: A Brief History of Open-Vocabulary Modeling and Tokenization in NLP
In this survey, we connect several lines of work from the pre-neural and neural era, by showing how hybrid approaches of words and characters as well as subword-based approaches based on learned segmentation have been proposed and evaluated. We conclude that there is and likely will never be a silver bullet singular solution for all
CNN Explainer: Learning Convolutional Neural Networks with Interactive Visualization
CNN Explainer tightly integrates a model overview that summarizes a CNN’s structure, and on-demand, dynamic visual explanation views that help users understand the underlying components of CNNs. Through smooth transitions across levels of abstraction, our tool enables users to inspect the interplay between low-level mathematical operations and high-level model structures.
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