#accuracy-and-speed

[ follow ]
Data science
fromInfoQ
1 day ago

Google's TurboQuant Compression May Support Faster Inference, Same Accuracy on Less Capable Hardware

TurboQuant compresses language models' Key-Value caches by up to 6x with near-zero accuracy loss, enabling efficient use of modest hardware.
Bootstrapping
fromEntrepreneur
18 hours ago

Don't Manage Every Task Manually - Here's How You Can Use AI to Outdo Your Competitors in Half the Time

Integrating AI sustainably and ethically is essential for founders as their startups grow to manage tasks effectively.
Scala
fromTechzine Global
18 hours ago

New Scale Computing gets new Velocity Partner Program

Scale Computing revamps its partner program to address market changes and strengthen relationships with partners amid industry challenges.
#ai
from24/7 Wall St.
1 day ago
Tech industry

"Every Chip Is Getting Used Instantly" - Here's Why Google's AI Dominance May Be Unstoppable

Law
fromTheregister
2 days ago

AI spread through law. Here's what happened next

AI's rapid advancements in coding are overshadowed by significant downsides, particularly in legal systems where hallucinations lead to unreliable outputs.
Tech industry
from24/7 Wall St.
1 day ago

"Every Chip Is Getting Used Instantly" - Here's Why Google's AI Dominance May Be Unstoppable

Google's dominance in AI chip ownership positions it as the future leader in technology.
Law
fromTheregister
2 days ago

AI spread through law. Here's what happened next

AI's rapid advancements in coding are overshadowed by significant downsides, particularly in legal systems where hallucinations lead to unreliable outputs.
Education
fromFast Company
13 hours ago

The future of AI in schools isn't personalized learning

Personalized learning through AI often results in device-mediated instruction, lacking the essential role of teachers in student development.
#openai
Marketing tech
fromDigiday
2 hours ago

OpenAI builds tool to track whether ChatGPT ads convert

OpenAI is developing ad measurement tools to compete for performance budgets through conversion tracking pixels.
Marketing tech
fromDigiday
1 day ago

A closer look at OpenAI's ads manager - and how much work it still needs

OpenAI's ads manager is in testing, marking a rare early launch in ad tech, but lacks essential features for performance advertisers.
Marketing tech
fromDigiday
2 hours ago

OpenAI builds tool to track whether ChatGPT ads convert

OpenAI is developing ad measurement tools to compete for performance budgets through conversion tracking pixels.
Marketing tech
fromDigiday
1 day ago

A closer look at OpenAI's ads manager - and how much work it still needs

OpenAI's ads manager is in testing, marking a rare early launch in ad tech, but lacks essential features for performance advertisers.
DevOps
fromNextgov.com
10 hours ago

How to scale value without scaling complexity

Platform-as-a-Service has become essential for software delivery, enabling teams to manage complexity and improve efficiency.
OMG science
fromTheregister
1 day ago

Physicist proposes two-button calculator

A two-button calculator can compute all functions of a scientific calculator using a single operator, simplifying mathematical expressions significantly.
Business intelligence
fromInfoWorld
1 day ago

The hyperscalers are pricing themselves out of AI workloads

AI is challenging traditional cloud pricing models, as buyers seek exceptional value beyond brand recognition and familiar pricing strategies.
Law
fromCommunity
2 weeks ago

How AI Improves Docket Research with Protege in CourtLink

AI integration in docket research enhances efficiency and decision-making for legal professionals.
Productivity
fromFast Company
2 days ago

The productivity question AI forces us to ask

Productivity tools increase capabilities but also raise expectations, leading to a cycle of anxiety and an overwhelming pace of work.
#artificial-intelligence
Science
fromNature
3 days ago

Human scientists trounce the best AI agents on complex tasks

The number of natural science publications mentioning AI grew nearly 30-fold from 2010 to 2025, indicating rapid adoption by scientists.
Artificial intelligence
fromNature
2 days ago

AI agents replicate human social dynamics in days

Moltbook, a social-media platform for AI agents, quickly attracted self-declared rulers and cryptocurrency initiatives after its launch.
Science
fromNature
3 days ago

Human scientists trounce the best AI agents on complex tasks

The number of natural science publications mentioning AI grew nearly 30-fold from 2010 to 2025, indicating rapid adoption by scientists.
Artificial intelligence
fromNature
2 days ago

AI agents replicate human social dynamics in days

Moltbook, a social-media platform for AI agents, quickly attracted self-declared rulers and cryptocurrency initiatives after its launch.
Careers
fromFast Company
2 days ago

4 myths about AI in hiring, debunked

AI in hiring can reduce bias compared to human recruiters, challenging common misconceptions about its fairness.
Atlanta Braves
fromBattery Power
2 days ago

What heuristic should the Braves use for ABS challenges?

The Braves have started the season strong, leading in several metrics despite struggles with the ABS challenge system.
fromInfoQ
6 days ago

Latency: The Race to Zero...Are We There Yet?

In the fintech industry we can link latency directly to profit and money. If I have lower latency than the competition, I can get to the better deals, I can make the better deals.
Venture
#ai-in-healthcare
Healthcare
fromFuturism
4 days ago

AI Is Causing Healthcare Costs to Surge

AI tools in healthcare have led to increased costs rather than savings, contradicting earlier predictions.
Healthcare
fromFuturism
4 days ago

AI Is Causing Healthcare Costs to Surge

AI tools in healthcare have led to increased costs rather than savings, contradicting earlier predictions.
Web frameworks
fromInfoQ
6 days ago

Tiger Teams, Evals and Agents: The New AI Engineering Playbook

Sam Bhagwat is a co-founder and CEO of Mastra, an open source JavaScript/Typescript framework for building AI agents.
Chicago Bulls
fromESPN.com
1 week ago

NBA teams all want to play faster -- is it making them worse?

NBA teams are prioritizing faster play, but faster teams are often less efficient offensively compared to slower teams.
Python
fromMathspp
6 days ago

uv skills for coding agents

Utilizing uv workflows enhances Python code execution and script management for coding agents, ensuring proper handling of dependencies and sandboxing.
DevOps
fromDevOps.com
18 hours ago

FinOps Isn't Slowing You Down - It's Fixing Your Pipeline - DevOps.com

Cost visibility should be integrated into DevOps workflows to manage cloud efficiency effectively.
Podcast
fromFast Company
1 week ago

3 AI tools that make keeping up with the news easier

Huxe is a personalized audio app that generates custom podcasts based on user interests, calendar, and email.
Data science
fromFast Company
2 days ago

Data activation and Newton's first law

Data activation is essential for business success in the AI era, requiring accessible, governed, and contextualized information to overcome inertia.
#claude-code
Productivity
fromPerevillega
3 weeks ago

Building Agent Memory That Survives Between Sessions | Pere Villega

Memory in Claude Code sessions is a design problem requiring deliberate creation of context to avoid repetitive explanations.
Software development
fromTheregister
2 days ago

Anthropic: Claude quota drain not caused by cache tweaks

Anthropic reduced the Claude Code prompt cache TTL from one hour to five minutes, impacting user experience and costs despite claims of no increased expenses.
Productivity
fromPerevillega
3 weeks ago

Building Agent Memory That Survives Between Sessions | Pere Villega

Memory in Claude Code sessions is a design problem requiring deliberate creation of context to avoid repetitive explanations.
Software development
fromTheregister
2 days ago

Anthropic: Claude quota drain not caused by cache tweaks

Anthropic reduced the Claude Code prompt cache TTL from one hour to five minutes, impacting user experience and costs despite claims of no increased expenses.
Tech industry
fromnews.bitcoin.com
4 days ago

AI Cloud Provider Coreweave Secures Anthropic Agreement for Claude Workloads

Coreweave signed a multi-year agreement with Anthropic to provide cloud infrastructure for AI model development and deployment.
Education
fromPsychology Today
6 days ago

When AI Provides Feedback on Student Work

Students intuitively understand the limitations of AI despite limited exposure, highlighting their natural decision-making abilities and critical thinking skills.
Business intelligence
fromZDNET
6 days ago

I asked 5 data leaders about how they use AI to automate - and end integration nightmares

Strong processes and AI integration are essential for businesses to effectively utilize data.
DevOps
fromAmazon Web Services
2 days ago

Troubleshooting environment with AI analysis in AWS Elastic Beanstalk | Amazon Web Services

AWS Elastic Beanstalk simplifies web application deployment and scaling, now enhanced with AI Analysis for troubleshooting environment health issues.
Marketing tech
fromAdExchanger
2 days ago

AI Is Nothing Without Data Fidelity. Here's A Four-Step Approach to Protect It | AdExchanger

Data integrity is crucial for effective AI in advertising, as flawed data leads to poor outcomes.
Artificial intelligence
fromMarTech
18 hours ago

3 AI shifts reshaping market research | MarTech

AI is transforming market research by evolving from a tool for tasks to a collaborative research environment that enhances data-driven insights.
Data science
fromFast Company
5 days ago

Your AI initiative may be failing because you're measuring it like a legacy business

Leadership often misjudges AI initiatives by applying mature-business metrics too early, leading to premature project cancellations.
Tech industry
fromFuturism
5 days ago

First AI Model From Zuckerberg's Wildly Expensive Superintelligence Lab Flops Compared to Virtually All Rivals

Meta's Muse Spark faces challenges in competing with established AI models despite initial investor enthusiasm.
Artificial intelligence
fromEngadget
14 hours ago

Shoe company pivots to AI compute in sign of a totally normal and healthy economy

Allbirds is pivoting from eco-friendly shoes to AI compute infrastructure, changing its name to NewBird AI and seeking shareholder approval for the transition.
Data science
fromPsychology Today
6 days ago

Is Algorithmic Asymmetry Reshaping How We Think?

Algorithmic asymmetry creates unequal access to information and decision-making, impacting individuals across various aspects of life.
Marketing tech
fromMarTech
5 days ago

A 6-step AI workflow for building better seasonal campaigns | MarTech

Seasonal campaigns that integrate industry trends, consumer behavior, and brand strategy yield higher sales and ROI.
Software development
fromMedium
3 days ago

GAIA by AMD - Running Intelligent Systems Fully on Your Own Machine

GAIA is an open-source framework enabling local execution of intelligent agents, eliminating external dependencies and enhancing data control.
#generative-ai
Artificial intelligence
fromInfoWorld
6 days ago

Meta's Muse Spark: a smaller, faster AI model for broad app deployment

Generative AI is moving from pilots to production, focusing on efficiency and seamless integration into user-facing software.
Artificial intelligence
fromInfoWorld
6 days ago

Meta's Muse Spark: a smaller, faster AI model for broad app deployment

Generative AI is moving from pilots to production, focusing on efficiency and seamless integration into user-facing software.
Data science
fromMedium
6 days ago

The Top 10 LLM Training Datasets for 2026

Large language models require extensive training data, and practitioners can utilize ten leading public datasets for effective training and fine-tuning.
Software development
fromMedium
3 days ago

Async Logging Is Not a Silver Bullet - What Actually Limits Performance

Async logging redistributes costs rather than reducing them, impacting performance in different ways depending on implementation.
Science
fromNature
3 weeks ago

Drowning in data sets? Here's how to cut them down to size

The Square Kilometre Array Observatory will generate massive data, but storage and retention pose significant challenges for researchers.
Artificial intelligence
fromSocial Media Examiner
1 day ago

Advanced AI Deep Research: Uncover Insights Your Competitors Are Missing : Social Media Examiner

AI deep research mode can significantly reduce analysis time for marketers by synthesizing vast amounts of information into actionable insights.
Data science
fromFast Company
1 week ago

Data, not infrastructure, must drive your AI strategy

Data centricity is essential for effective AI strategies, enabling collaboration and problem-solving across business units by making data accessible.
#ai-agents
Software development
fromDevOps.com
5 days ago

Google's Scion Gives Developers a Smarter Way to Run AI Agents in Parallel - DevOps.com

Scion is an experimental orchestration testbed for managing concurrent AI agents, preventing conflicts and enhancing collaboration.
Software development
fromInfoWorld
5 days ago

AI agents aren't failing. The coordination layer is failing

Missing coordination infrastructure causes competition among AI agents instead of collaboration, leading to inefficiencies in multi-agent systems.
fromTechCrunch
1 month ago
Artificial intelligence

Perplexity's new Computer is another bet that users need many AI models | TechCrunch

Software development
fromDevOps.com
5 days ago

Google's Scion Gives Developers a Smarter Way to Run AI Agents in Parallel - DevOps.com

Scion is an experimental orchestration testbed for managing concurrent AI agents, preventing conflicts and enhancing collaboration.
Software development
fromInfoWorld
5 days ago

AI agents aren't failing. The coordination layer is failing

Missing coordination infrastructure causes competition among AI agents instead of collaboration, leading to inefficiencies in multi-agent systems.
fromTechCrunch
1 month ago
Artificial intelligence

Perplexity's new Computer is another bet that users need many AI models | TechCrunch

DevOps
fromInfoWorld
3 weeks ago

An architecture for engineering AI context

AI systems must intelligently manage context to ensure accuracy and reliability in real applications.
Marketing tech
fromForbes
2 weeks ago

Why AI Models Are Recommending Your Competitors Instead Of You

Generative engine optimization (GEO) is essential for brands to be recommended by AI systems, shifting focus from traditional SEO metrics.
Artificial intelligence
fromComputerWeekly.com
2 days ago

If we can't kick the habit, how do we manage AI's energy needs? | Computer Weekly

AI's energy consumption is rapidly increasing, impacting electricity prices and prompting community pushback against datacentre developments.
Artificial intelligence
fromMedium
3 days ago

Why Your AI System Is Open-Loop

Open-loop AI systems audit spending after the fact, while closed-loop systems proactively control costs through continuous measurement and adjustment.
Artificial intelligence
fromFuturism
3 days ago

OpenAI's Latest Thing It's Bragging About Is Actually Kind of Sad

The AI industry faces significant delays and cancellations in data center projects, impacting ambitious computing capacity goals.
#ai-development
Artificial intelligence
fromMedium
3 days ago

Mastra AI - The Modern Framework for Building Production-Ready AI Agents

Creating reliable, scalable AI systems requires more than simple prompts; it involves building infrastructure and managing complex workflows.
Artificial intelligence
fromMedium
3 days ago

Mastra AI - The Modern Framework for Building Production-Ready AI Agents

Creating reliable, scalable AI systems requires more than simple prompts; it involves building infrastructure and managing complex workflows.
Artificial intelligence
fromFuturism
3 days ago

Research Finds That AI Has Already Replaced Work for 20 Percent of Jobs

One in five full-time American workers report AI has taken over parts of their job, indicating a shift in the labor market.
Data science
fromMedium
3 weeks ago

AI KPIs That Matter: Moving Beyond Model Accuracy in 2026

Measuring AI success requires connecting model performance to business outcomes, not just focusing on accuracy metrics.
Productivity
fromEntrepreneur
1 month ago

How AI Clears the Path to Faster, Better Executive Decisions

Decision slowdowns stem from disorganized inputs forcing leaders to decode information rather than decide, which AI can resolve by standardizing briefs, surfacing tradeoffs, and documenting rationale.
Artificial intelligence
fromTheregister
3 days ago

The AI divide putting open weights models in spotlight

Open weights AI models are evolving from research projects to serious enterprise products, highlighting a growing divide between enterprise and frontier AI.
fromNextgov.com
1 month ago

AI's productivity promise has a math problem

We're investing a lot in AI - we're doing a lot, but we're stopping at individual productivity. We're not taking the next step. You can't just screw AI on everything - it only makes you faster. It means you need to think about, 'how are our teams collaborating? How are people collaborating?' You probably need to change the way you work.
Business intelligence
Artificial intelligence
fromFuturism
4 days ago

Foolish Pollsters Are Now Just Asking AI What Voters Would Say in Response to Questions and Publishing It at Face Value

Axios mistakenly cited AI-generated polling data as human responses, highlighting risks of using simulations in opinion polling.
Artificial intelligence
fromFortune
4 days ago

AI promises to free workers from grunt work, but psychologists say those mindless tasks are exactly what our brains need to recover | Fortune

Eliminating menial tasks with AI may reduce productivity by removing necessary breaks for mental bandwidth and problem-solving.
Data science
fromInfoWorld
3 weeks ago

The 'toggle-away' efficiencies: Cutting AI costs inside the training loop

Simple optimizations can significantly reduce AI training costs and carbon emissions without needing the latest GPUs.
Information security
fromSecuritymagazine
2 months ago

Product Spotlight on Analytics

Taelor Sutherland is Associate Editor at Security magazine covering enterprise security, coordinating digital content, and holding a BA in English Literature from Agnes Scott College.
#ai-efficiency
Artificial intelligence
fromMedium
3 weeks ago

Less Compute, More Impact: How Model Quantization Fuels the Next Wave of Agentic AI

Model quantization and architectural optimization can outperform larger models, challenging the belief that more GPUs equal greater intelligence.
Artificial intelligence
fromInfoWorld
3 weeks ago

Why AI evals are the new necessity for building effective AI agents

User trust in AI agents depends on interaction-layer evaluation measuring reliability and predictability, not just model performance benchmarks.
Artificial intelligence
fromTheregister
4 weeks ago

AI still doesn't work very well in business, reckoning soon

Enterprise organizations lack clear AI strategies and reference architectures, requiring experimentation and feedback loops to understand AI's actual capabilities and limitations before full deployment.
fromInfoQ
2 months ago

Building Embedding Models for Large-Scale Real-World Applications

What happens under the hood? How is the search engine able to take that simple query, look for images in the billions, trillions of images that are available online? How is it able to find this one or similar photos from all that? Usually, there is an embedding model that is doing this work behind the hood.
Artificial intelligence
Artificial intelligence
fromTheregister
1 month ago

AI models get better at math but still get low marks

Current LLMs struggle with mathematical accuracy, with even top performers scoring C-grade equivalent on practical math benchmarks, though recent versions show modest improvements.
Artificial intelligence
fromLogRocket Blog
2 months ago

How poor chunking increases AI costs and weakens accuracy - LogRocket Blog

Chunking determines AI feature cost, accuracy, and scalability; deliberate chunking reduces costs, improves retrieval accuracy, and enables reliable production systems.
Artificial intelligence
fromInfoQ
2 months ago

Autonomous Big Data Optimization: Multi-Agent Reinforcement Learning to Achieve Self-Tuning Apache Spark

A Q-learning agent autonomously learns and generalizes optimal Spark configurations by discretizing dataset features and combining with Adaptive Query Execution for superior performance.
[ Load more ]