Data science, which transforms raw data into actionable insights, is critical for data-driven decision-making. However, these tasks are often complex, involving steps for exploring multiple data sources and synthesizing findings to deliver insightful answers. While large language models (LLMs) show significant promise in automating this process, they often struggle with heterogeneous data formats and generate sub-optimal analysis plans, as verifying plan sufficiency is inherently difficult without ground-truth labels for such open-ended tasks. To overcome these limitations, we introduce DS-STAR, a novel data science agent. Specifically, DS-STAR makes three key contributions: (1) a data file analysis module that automatically explores and extracts context from diverse data formats, including unstructured types; (2) a verification step where an LLM-based judge evaluates the sufficiency of the analysis plan at each stage; and (3) a sequential planning mechanism that starts with a simple, executable plan and iteratively refines it based on the DS-STAR's feedback until its sufficiency is verified. This iterative refinement allows DS-STAR to reliably navigate complex analyses involving diverse data sources. Our experiments show that DS-STAR achieves state-of-the-art performance across three challenging benchmarks: DABStep, KramaBench, and DA-Code. Moreover, DS-STAR particularly outperforms baselines on hard tasks that require processing multiple data files with heterogeneous formats.

This study proposes a deep learning-based approach for discovering loops in programming code according to their potential for parallelization. Two genetic algorithm-based code generators were developed to produce two distinct types of code: (i) independent loops, which are parallelizable, and (ii) ambiguous loops, whose dependencies are unclear, making them impossible to define if the loop is parallelizable or not. The generated code snippets were tokenized and preprocessed to ensure a robust dataset. Two deep learning models - a Deep Neural Network (DNN) and a Convolutional Neural Network (CNN) - were implemented to perform the classification. Based on 30 independent runs, a robust statistical analysis was employed to verify the expected performance of both models, DNN and CNN. The CNN showed a slightly higher mean performance, but the two models had a similar variability. Experiments with varying dataset sizes highlighted the importance of data diversity for model performance. These results demonstrate the feasibility of using deep learning to automate the identification of parallelizable structures in code, offering a promising tool for software optimization and performance improvement.

In our article, we introduce a Riemannian batch normalization (batch-norm) algorithm, which generalizes the one used in Euclidean nets.

Anguished Diddy clutches his head in his hands in first image from disastrous sentencing that's gone from bad to worse Mystery deepens over Hulk Hogan's death as his widow faces fresh anguish I'm no longer sleeping with my husband - and never will again, says MOLLY RYDDELL. I love him, but counted down the moments until he climaxed. Then I couldn't bear it any more and the truth spilled out... so many women feel the same Map shows where new strain of Covid is exploding in 19 states as sufferers are hit with'razor-blade' symptoms US military poised to seize ports and airfields in Venezuela as Trump strikes a fourth'narco-terrorist' boat Body count from Houston's bayous rises as serial killer whispers grip city and residents are told: 'Be vigilant' Selena Gomez's $1.3B fortune could create risks in Benny Blanco marriage despite his $50M success, experts reveal His daughter was warped into an ultra-woke monster and set fire to his life. Now, GOP state senator Jay Block fights back... and reveals the dark secrets she was desperate to hide Realtor with expensive ex-wife arrested over shocking $11.6m claims about how he was funding Palm Beach lifestyle The'middle-class kinks' saving marriages: Wives reveal the eight buzzy sex trends that revived their lagging libidos - including the fantasy husbands are secretly obsessed with Scientists discover key part of the brain that degrades in Alzheimer's... paving way for breakthrough therapies Lori Loughlin's estranged husband Mossimo Giannulli seen with mystery brunette amid shock split Manchester synagogue terrorist was on bail for alleged rape at the time of his rampage and was'struggling with debt' after'splitting up with his wife and young son' Scientists behind study linking Tylenol to autism accuse Trump of'spreading misinformation' Teresa Giudice thought she was going to'die' during panic attack on Special Forces... after she was called'stupid' NASA has gone dark just hours before humans get the closest look at the mysterious object barreling through our solar system . The interstellar object dubbed 3I/ATLAS will come within 18 million miles of Mars on October 3, its closest flyby of any planet this year.

First provide a summary of the paper, and then address the following criteria: Quality, clarity, originality and significance. In this paper, authors analyze sparsity of the posterior parameters in LDA using a variational Bayesian algorithm. They derive an expression for the VB free energy which shows its asymptotic behaviour with respect to number of words (N), number of documents (M), vocabulary size (L) etc. Their results suggest that, for certain settings of L,M,N, the sparsity behaviour changes drastically at a particular hyper-parameter setting. These changes differ from those of MAP and partial-Bayes algorithms. The problem discussed in this paper is original, interesting, and is perhaps useful too.

First provide a summary of the paper, and then address the following criteria: Quality, clarity, originality and significance. The contribution of this paper is probabilistic programming language that supports parallel inference for graphical models (specifically Bayes nets). Probabilistic programming languages are powerful tools because they allow rapid development of new models without having to derive/implement new inference algorithms. Unlike most existing probabilistic programming languages, Augur produces massively parallel code that can run on a GPU (using CUDA). A unique feature of Augur is that it compiles the model (specified in the language Scala) into an intermediate representation before it's ultimately compiled into a CUDA inference algorithm for parallelization.

US military poised to seize ports and airfields in Venezuela as Trump strikes a fourth'narco-terrorist' boat Robert Griffin III involved in'scary' car crash with wife and kids as shocking photos emerge I'm no longer sleeping with my husband - and never will again, says MOLLY RYDDELL. I love him, but counted down the moments until he climaxed. Then I couldn't bear it any more and the truth spilled out... so many women feel the same Body count from Houston's bayous rises as serial killer whispers grip city and residents are told: 'Be vigilant' I was so happy after trying a trendy new cosmetic procedure. But 10 years later I suffered a devastating side effect... the doctor had lied His daughter was warped into an ultra-woke monster and set fire to his life. Now, GOP state senator Jay Block fights back... and reveals the dark secrets she was desperate to hide The'middle-class kinks' saving marriages: Wives reveal the eight buzzy sex trends that revived their lagging libidos - including the fantasy husbands are secretly obsessed with Lori Loughlin's husband Mossimo Giannulli seen with mystery brunette in tiny skirt day after shock split Realtor with expensive ex-wife arrested over shocking $11.6m claims about how he was funding Palm Beach lifestyle Trump dollar coin design released by Treasury... and its inspired by the most iconic political photo of the century Fired CNN host Don Lemon's delivers expletive-filled rant at Megyn Kelly for comments about his husband Shroud of Turin mystery deepens as surgeon spots hidden detail that points to Jesus' resurrection Mystery deepens over Hulk Hogan's death as his widow faces fresh anguish Warning as pasta salad is recalled due to risk of'fatal infections' Multiple'UFOs' caught on camera flying over erupting volcano claimed to be a'wormhole' for aliens A swarm of UFOs was seen flying over an active volcano in Mexico this week, reviving a wild theory that the natural landmark could be an alien portal to space .

The use of neural networks for function approximation has led to many recent advances in Reinforcement Learning (RL) .

Captain of tanker linked to Russian'shadow fleet' charged in France The captain of an oil tanker believed to be part of Russia's shadow fleet of vessels used to evade sanctions has been charged by French authorities. The Chinese national was handed one count of refusing to follow instructions from the French navy and told to attend a court hearing in the northern coastal city of Brest next February. The Boracay left Russia last month and was off the coast of Denmark when unidentified drones forced the temporary closure of several airports last week. The tanker was earlier boarded by French soldiers because it was on a list of vessels subject to EU sanctions for carrying Russian oil exports. Russian President Vladimir Putin called France's actions piracy.

Game Theory U-20 World Cup Who would you play for? FIFA calls the U-20 World Cup "the tournament of tomorrow's superstars" - it's also the first fork in the road for these young players. At youth level they can still choose which country to play for. Samantha Johnson asks where should your loyalty lie? The country you're born in, or the country of your heritage?