不知道 不明了 不想要
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Airbyte Delivers Data Transfer Easier and Faster with Latest Round of Updates
Airbyte Delivers Data Transfer Easier and Faster with Latest Round of Updates Airbyte, creator of the open data movement platform, is making significant updates to its solution that provides customers with faster data transfers, as well as predictable pricing, to enable accurate and secure data for AI and analytics. Go to dbta
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Using smartphones to improve disaster search and rescue
Using smartphones to improve disaster search and rescue When a natural disaster strikes, time is of the essence if people are trapped under rubble. Conventional search-and-rescue methods use radar-based detection or employ acoustics that rely on sounds made by victims. Go to techxplore
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Netflix to acquire Warner Bros. studio and streaming business for $72 billion
Netflix to acquire Warner Bros. studio and streaming business for $72 billion Netflix struck a deal Friday to buy Warner Bros. Discovery, the Hollywood giant behind “Harry Potter” and HBO Max, in a $72 billion deal that would bring together two of the biggest players in television and film and potentially reshape the entertainment industry.…
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Overparameterized neural networks: Feature learning precedes overfitting, research finds
Overparameterized neural networks: Feature learning precedes overfitting, research finds Modern neural networks, with billions of parameters, are so overparameterized that they can “overfit” even random, structureless data. Yet when trained on datasets with structure, they learn the underlying features. Go to techxplore
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Puerto Rico case study provides better way to plan for energy transitions
Puerto Rico case study provides better way to plan for energy transitions A new article published in Nature Communications offers insight into how government planners can better account for the many uncertainties that accompany the transition from fossil-fuel power systems to renewable or decarbonized systems. The paper, titled “Identifying key uncertainties in energy transitions with…
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Iron-on electronic patches enable easy integration of circuits into fabrics
Iron-on electronic patches enable easy integration of circuits into fabrics Iron-on patches can repair clothing or add personal flair to backpacks and hats. And now they could power wearable tech, too. Researchers reporting in ACS Applied Materials & Interfaces have combined liquid metal and a heat-activated adhesive to create an electrically conductive patch that bonds…
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STAT+: Boehringer Ingelheim prepares schizophrenia app for FDA submission after trial results
STAT+: Boehringer Ingelheim prepares schizophrenia app for FDA submission after trial results HANOVER, N.H. — Boehringer Ingelheim this week provided more details about a late stage clinical trial of an app designed to treat under-addressed symptoms of schizophrenia and revealed the company is preparing to submit the app to the Food and Drug Administration for…
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STAT+: Cancer detection firm Freenome to go public via $330 million SPAC deal
STAT+: Cancer detection firm Freenome to go public via $330 million SPAC deal Freenome, a Bay Area biotech that is part of the increasingly competitive race to accurately detect cancer early through blood-based tests, announced Friday that it plans to go public to advance the development of tests that can spot individual cancers and several…
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STAT+: In radiology, an early adopter of AI, technology is advancing faster than the field can keep up
STAT+: In radiology, an early adopter of AI, technology is advancing faster than the field can keep up In the massive demonstration arena of Chicago’s McCormick Place conference complex this week, hundreds of computer monitors lit up with every body part and radiological image: fractures in X-rays, breast cancer in mammograms, brain atrophy in MRIs,…
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STAT+: Up and down the ladder: The latest comings and goings
STAT+: Up and down the ladder: The latest comings and goings Hired someone new and exciting? Promoted a rising star? Finally solved that hard-to-fill spot? Share the news with us, and we’ll share it with others. That’s right. Send us your changes, and we’ll find a home for them. Don’t be shy. Everyone wants to know who is…
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CDC panel recommends delaying birth dose of hepatitis B vaccine
CDC panel recommends delaying birth dose of hepatitis B vaccine A panel that advises on U.S. vaccine policy voted on Friday to recommend a delay in when most babies begin to be vaccinated against hepatitis B, overturning a 30-year-old policy that has contributed to a massive decline in cases of the virus. The Advisory Committee…
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Italy Launches ‘In-Depth’ Review of Crypto Risks
Italy Launches ‘In-Depth’ Review of Crypto Risks Regulators launch probe months after Italy’s central bank warned that crypto’s mainstream integration poses systemic financial dangers. Vismaya V Go to decrypt.co
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EU Opens Antitrust Probe Into Meta’s New AI Policy For WhatsApp
EU Opens Antitrust Probe Into Meta’s New AI Policy For WhatsApp The EU Commission’s probe excludes Italy, where the country’s competition authority is already pursuing separate proceedings against Meta. Vismaya V Go to decrypt.co
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Precious Metals Soar, Bitcoin Stalls as Investors Hedge Fed ‘Policy Error’
Precious Metals Soar, Bitcoin Stalls as Investors Hedge Fed ‘Policy Error’ Markets are hedging a Fed misstep, driving gold and silver higher while Bitcoin lags as traders reassess risk. Akash Girimath Go to decrypt.co
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OpenAI Ordered to Hand Over 20M ChatGPT Logs in NYT Copyright Case
OpenAI Ordered to Hand Over 20M ChatGPT Logs in NYT Copyright Case A federal judge rejected OpenAI’s bid to limit discovery, directing the company to produce de-identified user logs central to the case. Vince Dioquino Go to decrypt.co
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Stablecoin Adoption Could Stifle Central Bank Control, IMF Warns
Stablecoin Adoption Could Stifle Central Bank Control, IMF Warns Stablecoins have the potential to broaden individuals’ access to financial services, but that may come at the cost of central banks, per IMF. André Beganski Go to decrypt.co
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Informative missingness and its implications in semi-supervised learning
Informative missingness and its implications in semi-supervised learning arXiv:2512.04392v1 Announce Type: new Abstract: Semi-supervised learning (SSL) constructs classifiers using both labelled and unlabelled data. It leverages information from labelled samples, whose acquisition is often costly or labour-intensive, together with unlabelled data to enhance prediction performance. This defines an incomplete-data problem, which statistically can be formulated…
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Recurrent Neural Networks with Linear Structures for Electricity Price Forecasting
Recurrent Neural Networks with Linear Structures for Electricity Price Forecasting arXiv:2512.04690v1 Announce Type: new Abstract: We present a novel recurrent neural network architecture designed explicitly for day-ahead electricity price forecasting, aimed at improving short-term decision-making and operational management in energy systems. Our combined forecasting model embeds linear structures, such as expert models and Kalman filters,…
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Provable FDR Control for Deep Feature Selection: Deep MLPs and Beyond
Provable FDR Control for Deep Feature Selection: Deep MLPs and Beyond arXiv:2512.04696v1 Announce Type: new Abstract: We develop a flexible feature selection framework based on deep neural networks that approximately controls the false discovery rate (FDR), a measure of Type-I error. The method applies to architectures whose first layer is fully connected. From the second…
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Learning Causality for Longitudinal Data
Learning Causality for Longitudinal Data arXiv:2512.04980v1 Announce Type: new Abstract: This thesis develops methods for causal inference and causal representation learning (CRL) in high-dimensional, time-varying data. The first contribution introduces the Causal Dynamic Variational Autoencoder (CDVAE), a model for estimating Individual Treatment Effects (ITEs) by capturing unobserved heterogeneity in treatment response driven by latent risk…
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Towards a unified framework for guided diffusion models
Towards a unified framework for guided diffusion models arXiv:2512.04985v1 Announce Type: new Abstract: Guided or controlled data generation with diffusion modelsblfootnote{Partial preliminary results of this work appeared in International Conference on Machine Learning 2025 citep{li2025provable}.} has become a cornerstone of modern generative modeling. Despite substantial advances in diffusion model theory, the theoretical understanding of guided…
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Do Labels Make AI Blind? Self-Supervision Solves the Age-Old Binding Problem
Do Labels Make AI Blind? Self-Supervision Solves the Age-Old Binding Problem A new NeurIPS 2025 paper shows how self-supervised learning imbues ViT with better image understanding than supervised learning The post Do Labels Make AI Blind? Self-Supervision Solves the Age-Old Binding Problem appeared first on Towards Data Science. Jonathan Williford Go to original source
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The Machine Learning “Advent Calendar” Day 4: k-Means in Excel
The Machine Learning “Advent Calendar” Day 4: k-Means in Excel How to implement a training algorithm that finally looks like “real” machine learning The post The Machine Learning “Advent Calendar” Day 4: k-Means in Excel appeared first on Towards Data Science. angela shi Go to original source
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Build and Deploy Your First Supply Chain App in 20 Minutes
Build and Deploy Your First Supply Chain App in 20 Minutes A factory operator that discovered happiness by switching from notebook to streamlit – (Image Generated with GPT-5.1 by Samir Saci) The post Build and Deploy Your First Supply Chain App in 20 Minutes appeared first on Towards Data Science. Samir Saci Go to original…
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Bootstrap a Data Lakehouse in an Afternoon
Bootstrap a Data Lakehouse in an Afternoon Using Apache Iceberg on AWS with Athena, Glue/Spark and DuckDB The post Bootstrap a Data Lakehouse in an Afternoon appeared first on Towards Data Science. Thomas Reid Go to original source
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The Best Data Scientists are Always Learning
The Best Data Scientists are Always Learning Why continuous learning matters & how to come up with topics to study The post The Best Data Scientists are Always Learning appeared first on Towards Data Science. Jarom Hulet Go to original source
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Snowflake, Anthropic boost partnership with $200M commitment
Snowflake, Anthropic boost partnership with $200M commitment After first partnering in 2024 to make Claude models available in Cortex AI, the companies plan to collaborate on agentic AI development and marketing strategies. Go to techtarget
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Tweaking the Software Development Lifecycle with Delphix
Tweaking the Software Development Lifecycle with Delphix Poor-quality test data leads to poor production applications, compliance risks, and inefficiencies that will be costing the organization time, money, and very soon its competitive edge. Go to dbta
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Seagate Launches Next-Generation Edge Enterprise Storage
Seagate Launches Next-Generation Edge Enterprise Storage Seagate Technology Holdings plc, a global leader in mass-capacity data storage, is introducing its new Seagate Exos 4U100 and 4U74 JBOD systems, setting a new standard for enterprise storage ahead of the SuperComputing (SC25) conference. Go to dbta
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Qlik Enhances its Open Lakehouse with Real-Time Transformations and Extensive Integrations
Qlik Enhances its Open Lakehouse with Real-Time Transformations and Extensive Integrations Qlik, a global leader in data integration, data quality, analytics, and artificial intelligence (AI), is introducing new capabilities in?Qlik Open Lakehouse?that bring streaming ingestion and real-time transformations to its managed, Apache Iceberg-based lakehouse. Go to dbta
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Making simulations more accurate than ever with deep learning
Making simulations more accurate than ever with deep learning Future events such as the weather or satellite trajectories are computed in tiny time steps, so the computation must be both efficient and as accurate as possible at each step lest errors pile up. A Kobe University team has introduced a new method that uses deep…
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Report demonstrates how harnessing digitally generated data can transform humanitarian aid
Report demonstrates how harnessing digitally generated data can transform humanitarian aid A new report from the University of Liverpool and the United Nations Migration Agency–International Organization for Migration (IOM) demonstrates how harnessing digital data collected from mobile phone applications and social media platforms can transform the way humanitarian agencies track and respond to population displacement…
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Software platform helps users find the best hearing protection
Software platform helps users find the best hearing protection The world is loud. A walk down the street bombards one’s ears with the sound of engines revving, car horns blaring, and the steady beeps of pedestrian crossings. While smartphone alerts to excessive sound and public awareness of noise exposure grows, few tools help people take…
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Avoiding marine collisions with system powered by radar and machine learning
Avoiding marine collisions with system powered by radar and machine learning Collisions between marine vessels and stationary structures, like offshore oil platforms and depleted wellheads, are becoming increasingly common. These collisions come with a cost—including the financial burden of lost goods and potential loss of life. Go to techxplore
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Classical Indian dance inspires new ways to teach robots how to use their hands
Classical Indian dance inspires new ways to teach robots how to use their hands Researchers at the University of Maryland, Baltimore County (UMBC) have extracted the building blocks of precise hand gestures used in the classical Indian dance form Bharatanatyam—and found a richer “alphabet” of movement compared to natural grasps. The work could improve how…
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How to harness AI to advance cybersecurity
How to harness AI to advance cybersecurity Organisations are currently locked in a high-stakes chess match against cybercriminals who are using artificial intelligence (AI). While AI offers immense potential to drive innovation and efficiency across industries, it introduces a new breed of cyberthreat to combat. IT practitioners report that cybercriminals are increasingly using AI and…
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Red Hat to provide AI inference on AWS
Red Hat to provide AI inference on AWS Red Hat has expanded its relationship with Amazon Web Services to cover the delivery of enterprise-grade generative AI services on AWS with Red Hat AI. The collaboration is aimed at helping IT decision-makers run high-performance AI inferencing at scale, regardless of the underlying hardware. Under the agreement,…
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STAT+: Lawmakers are still far apart on a deal to extend ACA tax credits, and time is running out
STAT+: Lawmakers are still far apart on a deal to extend ACA tax credits, and time is running out WASHINGTON — There was a lot of talk among lawmakers on Thursday about extending the enhanced Affordable Care Act premium tax credits next year. But the prospects of passing legislation still seem dim. The focus on…
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STAT+: Vinay Prasad, FDA’s vaccine regulator, waves off criticism in closed-door remarks
STAT+: Vinay Prasad, FDA’s vaccine regulator, waves off criticism in closed-door remarks NEW YORK — Vinay Prasad, the Food and Drug Administration’s top vaccines regulator, blamed “misleading media narratives” for the escalating criticism of his leadership amid turmoil and plummeting morale at the agency. Prasad’s remarks, delivered Thursday at a New York investor conference closed…
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STAT+: Ashish Jha to step down as Brown University public health dean
STAT+: Ashish Jha to step down as Brown University public health dean PROVIDENCE — Ashish K. Jha, one of the nation’s leading public health experts who became a household name during the Covid pandemic, is leaving his post as the dean of the Brown University School of Public Health at the end of this year. Jha, a practicing physician…
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A new top drug regulator and the future of psychedelics
A new top drug regulator and the future of psychedelics On this week’s episode of “The Readout Loud”: a look at an emerging class of psychedelic drugs that may treat depression, anxiety, and other psychiatric conditions without the hallucinogenic “trip.” Plus, a dash through the week’s biotech news. The turmoil at the Food and Drug…
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A single shot of HPV vaccine may be enough to fight cervical cancer, study finds
A single shot of HPV vaccine may be enough to fight cervical cancer, study finds WASHINGTON — A single HPV vaccination appears just as effective as two doses at preventing the viral infection that causes cervical cancer, researchers reported Wednesday. HPV, or human papillomavirus, is very common and spread through sex. Most HPV infections clear…
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Ukrainian Police Arrest Two in Alleged Crypto Extortion Murder
Ukrainian Police Arrest Two in Alleged Crypto Extortion Murder Europe accounts for over 30% of nearly 70 wrench attacks documented this year as crypto-fueled violence surges across the continent. Vismaya V Go to decrypt.co
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Ethereum Price Swells as Fusaka Upgrade Goes Live
Ethereum Price Swells as Fusaka Upgrade Goes Live Fusaka represents what some describe as Ethereum’s first real step into key data sampling and capacity mechanisms it has sought for a decade. Vince Dioquino Go to decrypt.co
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Bitcoin Short Positions Build Ahead of Potential Fed Rate Cut
Bitcoin Short Positions Build Ahead of Potential Fed Rate Cut Bitcoin is trading in a narrow band ahead of the Fed’s rate decision, with more than $6 billion in leveraged positions at risk. Akash Girimath Go to decrypt.co
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Crypto Is Edging Further Into Mainstream Finance, BlackRock and Coinbase Chiefs Say
Crypto Is Edging Further Into Mainstream Finance, BlackRock and Coinbase Chiefs Say BlackRock and Coinbase executives discussed Bitcoin, U.S. legislation, tokenization, and market trends on during a joint interview. Jason Nelson Go to decrypt.co
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Connecticut Orders Kalshi, Robinhood, and Crypto.com to Halt ‘Unlicensed’ Online Gambling
Connecticut Orders Kalshi, Robinhood, and Crypto.com to Halt ‘Unlicensed’ Online Gambling State regulators have issued cease-and-desist letters alleging that the platforms offered illegal sports-event contracts to Connecticut users. Vince Dioquino Go to decrypt.co
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A note on the impossibility of conditional PAC-efficient reasoning in large language models
A note on the impossibility of conditional PAC-efficient reasoning in large language models arXiv:2512.03057v1 Announce Type: new Abstract: We prove an impossibility result for conditional Probably Approximately Correct (PAC)-efficient reasoning in large language models. While recent work has established marginal PAC efficiency guarantees for composite models that switch between expensive expert models and cheaper fast…
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Uncertainty Quantification for Large Language Model Reward Learning under Heterogeneous Human Feedback
Uncertainty Quantification for Large Language Model Reward Learning under Heterogeneous Human Feedback arXiv:2512.03208v1 Announce Type: new Abstract: We study estimation and statistical inference for reward models used in aligning large language models (LLMs). A key component of LLM alignment is reinforcement learning from human feedback (RLHF), where humans compare pairs of model-generated answers and their…
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Iterative Tilting for Diffusion Fine-Tuning
Iterative Tilting for Diffusion Fine-Tuning arXiv:2512.03234v1 Announce Type: new Abstract: We introduce iterative tilting, a gradient-free method for fine-tuning diffusion models toward reward-tilted distributions. The method decomposes a large reward tilt $exp(lambda r)$ into $N$ sequential smaller tilts, each admitting a tractable score update via first-order Taylor expansion. This requires only forward evaluations of the…
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Novelty detection on path space
Novelty detection on path space arXiv:2512.03243v1 Announce Type: new Abstract: We frame novelty detection on path space as a hypothesis testing problem with signature-based test statistics. Using transportation-cost inequalities of Gasteratos and Jacquier (2023), we obtain tail bounds for false positive rates that extend beyond Gaussian measures to laws of RDE solutions with smooth bounded…
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Colored Markov Random Fields for Probabilistic Topological Modeling
Colored Markov Random Fields for Probabilistic Topological Modeling arXiv:2512.03727v1 Announce Type: new Abstract: Probabilistic Graphical Models (PGMs) encode conditional dependencies among random variables using a graph -nodes for variables, links for dependencies- and factorize the joint distribution into lower-dimensional components. This makes PGMs well-suited for analyzing complex systems and supporting decision-making. Recent advances in topological…
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The Architecture Behind Web Search in AI Chatbots
The Architecture Behind Web Search in AI Chatbots And what this means for generative engine optimization (GEO) The post The Architecture Behind Web Search in AI Chatbots appeared first on Towards Data Science. Ida Silfverskiöld Go to original source
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Overcoming the Hidden Performance Traps of Variable-Shaped Tensors: Efficient Data Sampling in PyTorch
Overcoming the Hidden Performance Traps of Variable-Shaped Tensors: Efficient Data Sampling in PyTorch PyTorch Model Performance Analysis and Optimization — Part 11 The post Overcoming the Hidden Performance Traps of Variable-Shaped Tensors: Efficient Data Sampling in PyTorch appeared first on Towards Data Science. Chaim Rand Go to original source
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The Machine Learning “Advent Calendar” Day 3: GNB, LDA and QDA in Excel
The Machine Learning “Advent Calendar” Day 3: GNB, LDA and QDA in Excel From local distance to global probability The post The Machine Learning “Advent Calendar” Day 3: GNB, LDA and QDA in Excel appeared first on Towards Data Science. angela shi Go to original source
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How to Turn Your LLM Prototype into a Production-Ready System
How to Turn Your LLM Prototype into a Production-Ready System The most famous applications of LLMs are the ones that I like to call the “wow effect LLMs.” There are plenty of viral LinkedIn posts about them, and they all sound like this: “I built [x] that does [y] in [z] minutes using AI.” Where:…
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Multi-Agent Arena: Insights from London Great Agent Hack 2025
Multi-Agent Arena: Insights from London Great Agent Hack 2025 What mattered: robust agents, glass-box reasoning, and red-team resilience The post Multi-Agent Arena: Insights from London Great Agent Hack 2025 appeared first on Towards Data Science. Erika G. Gonçalves Go to original source
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Informatica tightens bond with AWS’s AI development tools
Informatica tightens bond with AWS’s AI development tools New features optimized for joint customers include MCP servers to connect governed data with foundation models and a framework for developing agents on the tech giant’s platform. Go to techtarget
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Experts Give 8 Big Data Predictions for 2026
Experts Give 8 Big Data Predictions for 2026 As AI continues to dominate the technology landscape, the data underlying the information these artificial intelligence solutions train on is under more scrutiny than ever. Here, data professionals share their big data and database/infrastructure predictions for 2026. Go to dbta
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Experts Give 8 Big Data Predictions for 2026
Experts Give 8 Big Data Predictions for 2026 As AI continues to dominate the technology landscape, the data underlying the information these artificial intelligence solutions train on is under more scrutiny than ever. Here, data professionals share their big data and database/infrastructure predictions for 2026. Go to dbta
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Product Spotlight: Navicat
Product Spotlight: Navicat Go to dbta
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Product Spotlight: Continuent
Product Spotlight: Continuent Go to dbta
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Product Spotlight: The Modern Data Company
Product Spotlight: The Modern Data Company Go to dbta
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Data centers in space: Will 2027 really be the year AI goes to orbit?
Data centers in space: Will 2027 really be the year AI goes to orbit? Google recently unveiled Project Suncatcher, a research “moonshot” aiming to build a data center in space. The tech giant plans to use a constellation of solar-powered satellites which would run on its own TPU chips and transmit data to one another…
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Open-source framework enables addition of AI to software without prompt engineering
Open-source framework enables addition of AI to software without prompt engineering Developers can now integrate large language models directly into their existing software using a single line of code, with no manual prompt engineering required. The open-source framework, known as byLLM, automatically generates context-aware prompts based on the meaning and structure of the program, helping…
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Aerial microrobot can fly as fast as a bumblebee
Aerial microrobot can fly as fast as a bumblebee In the future, tiny flying robots could be deployed to aid in the search for survivors trapped beneath the rubble after a devastating earthquake. Like real insects, these robots could flit through tight spaces larger robots can’t reach, while simultaneously dodging stationary obstacles and pieces of…
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Audio-augmented wearable aims to improve mindfulness, with possible benefits for those with anxiety and ADHD
Audio-augmented wearable aims to improve mindfulness, with possible benefits for those with anxiety and ADHD A new device uses focused sound cues to keep users grounded amid digital distractions, with possible benefits for anxiety and ADHD as well. Go to techxplore
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A metamaterial that bridges air and water
A metamaterial that bridges air and water Have you ever tried yelling underwater? Not only is it difficult to make the noise, but it is rarely audible to those outside of the water. Sound travels differently in mediums of different densities, and that causes a high acoustic impedance ratio between air and water, meaning that…
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Cybersecurity is the engine, not the brake, for Australia’s AI ambition
Cybersecurity is the engine, not the brake, for Australia’s AI ambition The discussion in Australia’s C-suites is loud and clear: AI is the future of growth. Research from Avanade shows that mid-market leaders are already bullish, with 86% planning to increase generative AI budgets and many expecting up to a fourfold return within 12 months.…
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OpenAI opens Australian office
OpenAI opens Australian office OpenAI has opened its first Australian office in Sydney during an event attended by some of the nation’s top business leaders, policymakers and members of the technology community. The office will house OpenAI’s dedicated Australian team, which will initially focus on helping local customers, partners and users take advantage of ChatGPT…
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A dozen former FDA commissioners decry Prasad memo on vaccine regulation
A dozen former FDA commissioners decry Prasad memo on vaccine regulation Changes to the ways in which the Food and Drug Administration plans to regulate vaccines represent a threat to effective and available vaccines and public health, 12 former commissioners wrote Wednesday in the New England Journal of Medicine. The changes, as described in a…
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STAT+: FDA removes longtime over-the-counter drugs regulator from her position
STAT+: FDA removes longtime over-the-counter drugs regulator from her position WASHINGTON — The Food and Drug Administration removed the longtime director of the office of over-the-counter drugs from her position on Wednesday, six agency sources told STAT. Theresa Michele, director of the Office of Nonprescription Drugs, has worked at the FDA since at least 2015.…
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STAT+: Hair loss drug succeeds in Phase 3, but data underwhelms experts
STAT+: Hair loss drug succeeds in Phase 3, but data underwhelms experts A topical hair loss medication successfully built up hair in a Phase 3 trial, according to the results of two late-stage trials released Wednesday. Cosmo Pharmaceuticals, which is based in Dublin, ran the studies on men with a common form of hair loss…
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STAT+: Why so many primary care doctors are switching between two Harvard-affiliated hospital systems
STAT+: Why so many primary care doctors are switching between two Harvard-affiliated hospital systems Six primary care providers at a single Mass General Brigham practice are moving to rival Beth Israel Lahey Health in January, raising to at least 18 the total number of such defections from the state’s largest health care system to the second largest…
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STAT+: AI scribe clinical trial results are here. What do they actually reveal?
STAT+: AI scribe clinical trial results are here. What do they actually reveal? You’re reading the web edition of STAT’s AI Prognosis newsletter, our subscriber-exclusive guide to artificial intelligence in health care and medicine. Sign up to get it delivered in your inbox every Wednesday. Two things of note: Submit your 2025 health AI bingo vote and…
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Gunmen Steal $85,800 in Trinidad Crypto Ambush as Attacks on Holders Rise
Gunmen Steal $85,800 in Trinidad Crypto Ambush as Attacks on Holders Rise Armed robberies of crypto buyers are rising globally as criminals abandon digital hacks for brutal in-person confrontations. Vismaya V Go to decrypt.co
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Anthropic Starts Early IPO Prep Ahead of Possible 2026 Debut: Report
Anthropic Starts Early IPO Prep Ahead of Possible 2026 Debut: Report Anthropic is reportedly exploring a public market debut while chasing a new funding round that could push its valuation past $300 billion. Vince Dioquino Go to decrypt.co
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Ethereum Whale Buying Steps Up as Market Rebounds From Heavy Liquidations
Ethereum Whale Buying Steps Up as Market Rebounds From Heavy Liquidations Large holders resumed sizeable Ethereum purchases this week as crypto prices recovered sharply from Monday’s wipeout. Akash Girimath Go to decrypt.co
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Justice Department Seizes Domain Linked to Burma-Based Crypto Scam Compound
Justice Department Seizes Domain Linked to Burma-Based Crypto Scam Compound The U.S. seizure comes a day after a sanctioned Cambodian group shut branches and froze withdrawals under regulatory pressure. Jason Nelson Go to decrypt.co
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Grayscale Launches First US Chainlink ETF on NYSE Arca
Grayscale Launches First US Chainlink ETF on NYSE Arca The product saw strong first-day trading after a shutdown-enabled filing path and updated SEC listing standards opened the way for its launch. Vince Dioquino Go to decrypt.co
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Bayesian Physics-Informed Neural Networks for Inverse Problems (BPINN-IP): Application in Infrared Image Processing
Bayesian Physics-Informed Neural Networks for Inverse Problems (BPINN-IP): Application in Infrared Image Processing arXiv:2512.02495v1 Announce Type: new Abstract: Inverse problems arise across scientific and engineering domains, where the goal is to infer hidden parameters or physical fields from indirect and noisy observations. Classical approaches, such as variational regularization and Bayesian inference, provide well established theoretical…
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Laplace Approximation For Tensor Train Kernel Machines In System Identification
Laplace Approximation For Tensor Train Kernel Machines In System Identification arXiv:2512.02532v1 Announce Type: new Abstract: To address the scalability limitations of Gaussian process (GP) regression, several approximation techniques have been proposed. One such method is based on tensor networks, which utilizes an exponential number of basis functions without incurring exponential computational cost. However, extending this…
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Revisiting Theory of Contrastive Learning for Domain Generalization
Revisiting Theory of Contrastive Learning for Domain Generalization arXiv:2512.02831v1 Announce Type: new Abstract: Contrastive learning is among the most popular and powerful approaches for self-supervised representation learning, where the goal is to map semantically similar samples close together while separating dissimilar ones in the latent space. Existing theoretical methods assume that downstream task classes are…
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EcoCast: A Spatio-Temporal Model for Continual Biodiversity and Climate Risk Forecasting
EcoCast: A Spatio-Temporal Model for Continual Biodiversity and Climate Risk Forecasting arXiv:2512.02260v1 Announce Type: cross Abstract: Increasing climate change and habitat loss are driving unprecedented shifts in species distributions. Conservation professionals urgently need timely, high-resolution predictions of biodiversity risks, especially in ecologically diverse regions like Africa. We propose EcoCast, a spatio-temporal model designed for continual…
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Spatiotemporal Pyramid Flow Matching for Climate Emulation
Spatiotemporal Pyramid Flow Matching for Climate Emulation arXiv:2512.02268v1 Announce Type: cross Abstract: Generative models have the potential to transform the way we emulate Earth’s changing climate. Previous generative approaches rely on weather-scale autoregression for climate emulation, but this is inherently slow for long climate horizons and has yet to demonstrate stable rollouts under nonstationary forcings.…
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The Machine Learning “Advent Calendar” Day 2: k-NN Classifier in Excel
The Machine Learning “Advent Calendar” Day 2: k-NN Classifier in Excel Exploring the k-NN classifier with its variants and improvements The post The Machine Learning “Advent Calendar” Day 2: k-NN Classifier in Excel appeared first on Towards Data Science. angela shi Go to original source
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JSON Parsing for Large Payloads: Balancing Speed, Memory, and Scalability
JSON Parsing for Large Payloads: Balancing Speed, Memory, and Scalability Benchmarking JSON libraries for large payloads The post JSON Parsing for Large Payloads: Balancing Speed, Memory, and Scalability appeared first on Towards Data Science. Subha Ganapathi Go to original source
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How to Use Simple Data Contracts in Python for Data Scientists
How to Use Simple Data Contracts in Python for Data Scientists Stop your pipelines from breaking on Friday afternoons using simple, open-source validation with Pandera. The post How to Use Simple Data Contracts in Python for Data Scientists appeared first on Towards Data Science. Eirik Berge Go to original source
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How to Generate QR Codes in Python
How to Generate QR Codes in Python A beginner-friendly tutorial exploring the Python “qrcode” Package The post How to Generate QR Codes in Python appeared first on Towards Data Science. Mahnoor Javed Go to original source
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9 examples of business intelligence use cases for companies
9 examples of business intelligence use cases for companies BI tools and applications can help improve decision-making, strategic planning and other business functions. Here’s a look at nine top BI use cases for organizations. Go to techtarget
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Latest AWS data management features target cost control
Latest AWS data management features target cost control As the volume and complexity of enterprise data estates increase, and the size of data workloads grows due to AI development, the tech giant aims to help users reduce spending. Go to techtarget
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Firefly Debuts Cloud Resilience Posture Management Solution to Help Enterprises Stay Up When the Next Cloud Outage Hits
Firefly Debuts Cloud Resilience Posture Management Solution to Help Enterprises Stay Up When the Next Cloud Outage Hits Firefly AI, the agentic cloud automation platform, is introducing its Cloud Resilience Posture Management (CRPM) solution?designed to help enterprises take a proactive approach to cloud outages, cyberattacks, and human error. Go to dbta
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Pepperdata Launches Global Partner Program to Perfect GPU and Kubernetes Efficiency
Pepperdata Launches Global Partner Program to Perfect GPU and Kubernetes Efficiency Pepperdata, a leader in Kubernetes and GPU resource optimization, is launching its Global Partner Program, a new initiative that brings together systems integrators, technology providers, and consultancies with Pepperdata’s dynamic resource optimization platform. Go to dbta
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ScienceLogic Advances IT Performance with Enhancements to its Signature Platform
ScienceLogic Advances IT Performance with Enhancements to its Signature Platform ScienceLogic, delivering intelligence that accelerates outcomes through service-centric observability, AI-driven operations, and intelligent automation, is introducing a major update to its flagship?Skylar One?platform, the first since its?rebrand and expansion?from SL1. Go to dbta
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High-speed rail moves millions throughout the world every day, but in the US its future is bumpy
High-speed rail moves millions throughout the world every day, but in the US its future is bumpy High-speed rail systems are found all over the globe. Japan’s bullet train began operating in 1964. China will have 31,000 miles (50,000 kilometers) of high-speed track by the end of 2025. The fastest train in Europe goes almost…
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Enhancing navigability for tributaries
Enhancing navigability for tributaries Inland waterway transportation has played a limited role in Europe so far, with a share of about 6%. Together with 15 partners, Fraunhofer researchers are seeking to change this with the EU project CRISTAL. Go to techxplore
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Approximate domain unlearning: Enabling safer and more controllable vision-language models
Approximate domain unlearning: Enabling safer and more controllable vision-language models Vision-language model (VLM) is a core technology of modern artificial intelligence (AI), and it can be used to represent different forms of expression or learning, such as photographs, illustrations, and sketches. Go to techxplore
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Engineers develop thin film to make AI chips faster and more energy efficient
Engineers develop thin film to make AI chips faster and more energy efficient Addressing the staggering power and energy demands of artificial intelligence, engineers at the University of Houston have developed a revolutionary new thin-film material that promises to make AI devices significantly faster while dramatically cutting energy consumption. Go to techxplore
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Dual use of land for solar energy production and cultivation found feasible in Finland
Dual use of land for solar energy production and cultivation found feasible in Finland Open farmlands are ideal locations for installing solar panels, but the most common method, which involves covering a large area with south-facing panels, prevents the field from being used for simultaneous farming. The panels can also be installed vertically, allowing crops…
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CrowdStrike launches real-time cloud security innovations
CrowdStrike launches real-time cloud security innovations Cybersecurity company CrowdStrike has introduced innovations to its flagship Falcon Cloud Security platform aimed at enabling customers to detect and stop cloud attacks within seconds. The Cloud Detection and Response innovations are powered by a recently developed real-time detection engine built on streaming technology, which analysis cloud logs as…