Making ChatGPT better for clinicians
OpenAI makes ChatGPT for Clinicians free for verified U.S. physicians, nurse practitioners, and pharmacists, supporting clinical care, documentation, and research.
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Occupancy Reward Shaping: Improving Credit Assignment for Offline Goal-Conditioned Reinforcement Learning
The temporal lag between actions and their long-term consequences makes credit assignment a challenge when learning goal-directed behaviors from data. Generative world models capture the distribution of future states an agent may visit, indicating that they have captured temporal information. How can that temporal information be extracted to perform credit assignment? In this paper, we formalize how the temporal information stored in world models encodes the underlying geometry of the world. Leveraging optimal transport, we extract this geometry […]
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Indian med student rakes in thousands with AI-generated MAGA hottie
Like many medical school students, Sam was broke. The 22-year-old aspiring orthopedic surgeon from northern India got some money from his parents, but he says he spent most of it subsidizing his licensing exams, and he’s still saving up to hopefully emigrate to the US after graduation. So he started searching for ways to make additional money online. Sam, who requested a pseudonym to avoid jeopardizing his medical career and immigration status, tried a few things, with varying […]
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Differentially Private Clustered Federated Learning with Privacy-Preserving Initialization and Normality-Driven Aggregation
Federated learning (FL) enables training of a global model while keeping raw data on end-devices. Despite this, FL has shown to leak private user information and thus in practice, it is often coupled with methods such as differential privacy (DP) and secure vector sum to provide formal privacy guarantees to its participants. In realistic cross-device deployments, the data are highly heterogeneous, so vanilla federated learning converges slowly and generalizes poorly. Clustered federated learning (CFL) mitigates this by segregating […]
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Altair: Declarative Charts With Python
There’s a moment many data analysts know well: you have a new dataset and a clear question, and you open a notebook only to find yourself writing boilerplate axis and figure setup before you’ve even looked at the data. Matplotlib gives you fine-grained control, but that control comes with a cost. Altair takes a completely different approach to data visualization in Python. Instead of scripting every visual detail, you describe what your data means. This includes specifying which […]
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AI in law firms entering its closing summaries
In an interview with Artificial Lawyer, Paris-based AI-native consulting firm owner, Olivier Chaduteau, set out a three-part account of the current state of AI in the legal sector. At first, lawyers dismissed AI as irrelevant to expert work. In the second, organisations bought licences to LLMs to signal activity to partners and/or clients, but little else. He says the market has now entered a third stage, in which firms understand it’s time to engage with the AI tools […]
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As EV batteries improve, ChargePoint debuts 600 kW fast charger
If charging speed is one of the major stumbling blocks preventing people from considering an electric vehicle, then ChargePoint’s new Express Solo DC fast charger is a step in the right direction. It has been designed to be compact and work with DC power, making it easy to install in tight spaces. Oh, and it maxes out at a hefty 600 kW. As we saw with yesterday’s news from CATL, EV batteries are getting more and more capable […]
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A Novel Two-Level Entropy-Weighted Fuzzy C-Means Algorithm and Its Application for Classifying Urban Patterns by Residential Building
In this work, a novel entropy-weighted fuzzy c-means variation is proposed. This varia-tion introduces a semantic level of partitioning of features into groups. This approach en-ables the provision of optimal semantic meaning to the clusters, thereby capturing the in-trinsic structure of the features, which are naturally grouped into homogeneous semantic sets. Additionally, it is computationally more efficient than other cluster-specific weighted fuzzy clustering algorithms, due to the independence of the weights from the clusters. The efficacy of the […]
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I can’t believe text normalization is so underdiscussed in streaming text-to-speech [D]
Kinda suprises me how little discussion there is around about mistakes in streaming TTS models People look for natural readers, high voice quality, expressive speech. And most models don’t look dumb here and fail. They fail when you give them basic stuff like price, dates, URLs, promo codes, phone numbers. So I was looking for some info and found a benchmark that compares commercial real time streaming TTS models in terms of how they pronounce dates, URLs, acronyms, […]
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RootTrace: Root Cause Localization for Settlement Discrepancies in Multi-Party Electricity Trading via Trusted Path Traceability
Settlement discrepancies in multi-party electricity trading are difficult to localize because final outcomes are produced by multi-stage pipelines that combine heterogeneous data, rule versions, parameters, and execution contexts across organizational boundaries. In such settings, numerical reconciliation is not enough: investigators must identify where divergence entered the pipeline and support that judgment with evidence that can be checked independently. We formulate discrepancy localization as an auditable inference problem and introduce RootTrace, a trusted path-traceability method for this setting. Settlement […]
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