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Last updated: Mar 31, 2026

50 articles

AI Agent for HR: Automate Recruiting, Onboarding & Employee Experience (2026)

Home → Blog → AI Agent for HR # AI Agent for HR: Automate Recruiting, Onboarding & Employee Experience (2026) Photo by Edmond Dantès on Pexels Mar 27, 2026 13 min read Guide HR teams are drowning. A single recruiter handles **30-40 open requisitions** while answering hundreds of employee questions a

DEV Community just now
The Memory Bandwidth Gap Is 49x and Growing — Why Local LLMs Hit a Ceiling

The Wall I Hit on an RTX 4060 Was a Bandwidth Wall Running Qwen3.5-9B on an RTX 4060 8GB gets you about 40 tok/s. Perfectly usable for a reasoning model. But scale up the model size and the numbers crater. 27B drops to 15 tok/s. 32B at Q4 quantization barely holds 10 tok/s. The bottleneck isn't GPU

DEV Community Research just now
From Misinformation to Agentic AI: Where My Research Is Heading

Two years ago, I started studying AI-generated misinformation. I wanted to understand how large language models produce convincing false content, how quickly that content spreads, and whether humans can even tell the difference anymore. That work led to four papers at The Web Conference 2026, tools

DEV Community Research just now
Mulesoft with AI

Overview MuleSoft is bringing AI into its platform to make API management smarter and more proactive. Instead of reacting to issues after they happen, teams can now prevent problems, improve performance, and strengthen security from the start. This helps organizations move faster in their digital tr

DEV Community Tools just now
You can order Grubhub and Uber Eats ‘conversationally’ with Alexa Plus

Amazon is giving you a new way to order food through Grubhub and Uber Eats with Alexa without having to endure an awkward exchange just to add fries. Amazon said the entire process is meant to be conversational, building your order in a similar manner to ordering in a restaurant. That means changing

The Verge just now
The Download: AI health tools and the Pentagon’s Anthropic culture war

This is today’s edition of The Download, our weekday newsletter that provides a daily dose of what’s going on in the world of technology. There are more AI health tools than ever—but how well do they work?  In the last few months alone, Microsoft, Amazon, and OpenAI have all launche

MIT Tech Review 1h ago
AI benchmarks are broken. Here’s what we need instead.

For decades, artificial intelligence has been evaluated through the question of whether machines outperform humans. From chess to advanced math, from coding to essay writing, the performance of AI models and applications is tested against that of individual humans completing tasks.  This framin

MIT Tech Review 1h ago
Bitboard version of Tetris AI

arXiv:2603.26765v1 Announce Type: new Abstract: The efficiency of game engines and policy optimization algorithms is crucial for training reinforcement learning (RL) agents in complex sequential decision-making tasks, such as Tetris. Existing Tetris implementations suffer from low simulation speeds,

ArXiv CS.AI Research 9h ago
Concerning Uncertainty -- A Systematic Survey of Uncertainty-Aware XAI

arXiv:2603.26838v1 Announce Type: new Abstract: This paper surveys uncertainty-aware explainable artificial intelligence (UAXAI), examining how uncertainty is incorporated into explanatory pipelines and how such methods are evaluated. Across the literature, three recurring approaches to uncertainty

ArXiv CS.AI Research 9h ago
Compliance-Aware Predictive Process Monitoring: A Neuro-Symbolic Approach

arXiv:2603.26948v1 Announce Type: new Abstract: Existing approaches for predictive process monitoring are sub-symbolic, meaning that they learn correlations between descriptive features and a target feature fully based on data, e.g., predicting the surgical needs of a patient based on historical eve

ArXiv CS.AI Research 9h ago
There are more AI health tools than ever—but how well do they work?

Earlier this month, Microsoft launched Copilot Health, a new space within its Copilot app where users will be able to connect their medical records and ask specific questions about their health. A couple of days earlier, Amazon had announced that Health AI, an LLM-based tool previously restricted to

MIT Tech Review Tools 21h ago
The Pentagon’s culture war tactic against Anthropic has backfired

This story originally appeared in The Algorithm, our weekly newsletter on AI. To get stories like this in your inbox first, sign up here. Last Thursday, a California judge temporarily blocked the Pentagon from labeling Anthropic a supply chain risk and ordering government agencies to stop using its

MIT Tech Review Research 22h ago
Okta’s CEO is betting big on AI agent identity

Today, I’m talking with Todd McKinnon, who is co-founder and CEO of Okta, a platform that lets big companies manage security and identity across all the apps and services their employees use. Think of it like login management — actually, that’s a great way to think about it because the way most peop

The Verge 22h ago
Inside the stealthy startup that pitched brainless human clones

After operating in secrecy for years, a startup company called R3 Bio, in Richmond, California, suddenly shared details about its work last week—saying it had raised money to create nonsentient monkey “organ sacks” as an alternative to animal testing. In an interview with Wired, R3 listed three inve

MIT Tech Review Industry yesterday
All the latest in AI ‘music’

AI has touched every part of the music industry, from sample sourcing and demo recording, to serving up digital liner notes and building playlists. There are technical and legal challenges, fierce ethical debates, and fears that the slop will simply crush working musicians through sheer volume. Is i

The Verge yesterday
Entropy-Preserving Reinforcement Learning

Policy gradient algorithms have driven many recent advancements in language model reasoning. An appealing property is their ability to learn from exploration on their own trajectories, a process crucial for fostering diverse and creative solutions. As we show in this paper, many policy gradient algo

Apple ML Models yesterday
Beyond Real Data: Synthetic Data through the Lens of Regularization

Synthetic data can improve generalization when real data is scarce, but excessive reliance may introduce distributional mismatches that degrade performance. In this paper, we present a learning-theoretic framework to quantify the trade-off between synthetic and real data. Our approach leverages algo

Apple ML Tools yesterday

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