Deploying agentic AI: what worked, what broke, and what we learned

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Fanny Maurel & Digit / Ambient Scribes / Licenced by CC-BY 4.0 By Francis Osei 1. We built agentic systems. Here’s what broke When Agentic AI started dominating research papers, demos, and conference talks, I was curious but cautious. The idea of intelligent agents, autonomous systems powered by large language models that can plan, reason, and take actions using tools, … Read More

Avantis (AVNT) price jumps 79%, sets new ATH, following multiple exchange listings

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Avantis (AVNT) has hit a new ATH of $1.54 after listing on Binance, Upbit, and Bithumb. Trading volume has surged to $1.47 billion, driven by strong growth in the futures market. Avantis is gaining traction as a perpetual DEX backed by Coinbase and Pantera. Avantis (AVNT), a fast-rising token on the Base network, has taken the cryptocurrency market by storm … Read More

Memory traces in reinforcement learning

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The T-maze, shown below, is a prototypical example of a task studied in the field of reinforcement learning. An artificial agent enters the maze from the left and immediately receives one of two possible observations: red or green. Red means that the agent will be rewarded for moving to the top at the right end of the corridor (in the … Read More

Coinbase-backed petition pushes UK on blockchain and stablecoin policy

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Coinbase backs UK petition urging stablecoin rules and blockchain adoption. Petition tops 5K signatures; 10K triggers government reply, 100K a debate. Supporters warn UK risks falling behind without clear crypto strategy. A public petition urging the United Kingdom to adopt a pro-innovation strategy for blockchain and stablecoins has gathered momentum after crypto exchange Coinbase rallied its users to support the … Read More

Apertus: a fully open, transparent, multilingual language model

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By Melissa Anchisi and Florian Meyer In July, EPFL, ETH Zurich, and the Swiss National Supercomputing Centre (CSCS) announced their joint initiative to build a large language model (LLM). Now, this model is available and serves as a building block for developers and organisations for future applications such as chatbots, translation systems, or educational tools. The model is named Apertus … Read More

Interview with Yezi Liu: Trustworthy and efficient machine learning

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In this interview series, we’re meeting some of the AAAI/SIGAI Doctoral Consortium participants to find out more about their research. Yezi Liu is working on trustworthy and efficient machine learning. We asked her about her research to date, what she has found particularly interesting, plans for future work, and what is was that inspired her to study AI. Tell us … Read More

Advanced AI models are not always better than simple ones

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Elise Racine / Toy Models I / Licenced by CC-BY 4.0 By Tanya Petersen Understanding genetic perturbations, when scientists intentionally alter genes to see how this affects cells, is key to understanding what our genes do and how they are controlled. This knowledge has important applications in cell engineering and in developing new treatments. Today, scientists can test many different … Read More

The Machine Ethics podcast: Autonomy AI with Adir Ben-Yehuda

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Hosted by Ben Byford, The Machine Ethics Podcast brings together interviews with academics, authors, business leaders, designers and engineers on the subject of autonomous algorithms, artificial intelligence, machine learning, and technology’s impact on society. Autonomy AI with Adir Ben-Yehuda This episode Adir and I chat about Autonomy.ai – AI automation for frontend web development, where human-machine interface could be going, … Read More

Using generative AI, researchers design compounds that can kill drug-resistant bacteria

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Alan Warburton / Medicine / © BBC. By Anne Trafton With help from artificial intelligence, MIT researchers have designed novel antibiotics that can combat two hard-to-treat infections: drug-resistant Neisseria gonorrhoeae and multi-drug-resistant Staphylococcus aureus (MRSA). Using generative AI algorithms, the research team designed more than 36 million possible compounds and computationally screened them for antimicrobial properties. The top candidates they … Read More

#IJCAI2025 distinguished paper: Combining MORL with restraining bolts to learn normative behaviour

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Image provided by the authors – generated using Gemini. For many of us, artificial intelligence (AI) has become part of everyday life, and the rate at which we assign previously human roles to AI systems shows no signs of slowing down. AI systems are the crucial ingredients of many technologies — e.g., self-driving cars, smart urban planning, digital assistants — … Read More