AI News Archive: May 5, 2026 — Part 27
Sourced from 500+ daily AI sources, scored by relevance.
- 5 Steps to Develop an Architect Mindset With AI
Learn how to use AI to ask better questions, analyze problems, and apply a structured approach to move from building solutions to designing systems.
- Palantir revenue rockets past forecasts
Revenue at Palantir rocketed past analyst forecasts as the AI-powered firm ramped up commercial and government deals. The US tech firm posted revenue of $1.6bn (£1.2bn) in the first three months of the year, above investor expectations of $1.5bn and 85 per cent ahead of last year. The firm upped its revenue guidance to $7.6bn [...]
- Media regulator to probe Meta over recommender systems
Media regulator Coimisiún na Meán has opened investigations into Meta relating to the recommender systems that promote content on Facebook and Instagram.
- Healthcare Doesn’t Have an AI Problem — It Has a Readiness Problem
Healthcare Doesn’t Have an AI Problem — It Has a Readiness Problem MedCity News
- How AI Improves Tenant Screening, Faster, Smarter, and More Accurate Decisions
AI improves tenant screening with faster, smarter, and more accurate decisions.
- Do AI tools undermine trust in geospatial imagery?
Do AI tools undermine trust in geospatial imagery? SpaceNews
- Guest commentary: In-car voice AI is the new path to brand loyalty, but most automakers aren’t taking advantage
Guest commentary: In-car voice AI is the new path to brand loyalty, but most automakers aren’t taking advantage Automotive News
- AI is showing up in court cases – but only a human jury can grapple with the moral weight of assessing guilt
AI is making its way into the courtroom, but it can never replicate the moral legitimacy of a human jury.
- 4 ways HR uses AI in hiring, according to talent professionals
Inefficient implementation, however, may be cutting into employers’ ROI.
- The accountability gap: Who’s responsible when AI gets it wrong?
AI agents are no longer just tools. They not only assist but can also make decisions. They can draft emails, prioritise leads, summarise reports, and even trigger actions. The question is, can AI do this? But what happens when it gets it wrong, and more importantly, who is responsible? The shift from execution to decision […] The post The accountability gap: Who’s responsible when AI gets it wrong? appeared first on e27 .
- Power, Politics and the Fight for Justice in the Age of AI
Power, Politics and the Fight for Justice in the Age of AI University of Oxford
- Bay Area banker wants to swap his $8M estate for AI company stock
Storm Duncan is offering his Mill Valley home and 11-acre property, valued at nearly $9 million total, in exchange for pre-IPO Anthropic AI shares.
- Roomba pioneer aims to crack the household market again with an AI-powered pet robot
Roomba pioneer aims to crack the household market again with an AI-powered pet robot Boston Herald
- Nvidia Stock Is Sitting Out the Latest AI Boom. What Can Get It Moving Again.
Nvidia Stock Is Sitting Out the Latest AI Boom. What Can Get It Moving Again. Barron's
- Roomba pioneer aims to crack the household market again with an AI-powered pet robot
Roomba pioneer aims to crack the household market again with an AI-powered pet robot East Bay Times
- Coinbase lays off hundreds of employees as CEO cites crypto's decline and AI's rise
Coinbase’s CEO cites crypto market downturn and AI efficiencies while laying off 14% of his workforce.
- Roomba pioneer aims to crack the household market again with an AI-powered pet robot
Roomba pioneer aims to crack the household market again with an AI-powered pet robot The Mercury News
- This Google Home update is all about smarter automation
Google Home update expands automation with new triggers, conditions, and actions, allowing smarter control across devices like locks, lights, appliances, and sensors.
- Roomba creator unveils furry AI robot built for companionship
Roomba creator unveils furry AI robot built for companionship Gulf News
- OpenAI could launch its first AI agent smartphone in 2027
OpenAI may be developing an AI-first smartphone targeting 2027, focusing on on-device intelligence, advanced processors, and next-gen memory to enable smarter, more autonomous user interactions.
- Developing robots that can walk through mud
Developing robots that can walk through mud Carnegie Mellon University's College of Engineering
- You can now stop repeating yourself to Gemini in Google Docs
Tell Gemini once how to write, and it listens across every document.
- Generative Engine Optimization: AI Visibility
Learn how Generative Engine Optimization (GEO) ensures your content ranks in AI-driven search tools. Strategies, tools, and tips for success.
- Gemini for Home just got better at handling your most complex requests
Google’s latest Gemini model is now doing the smart home heavy lifting.
- AI Search Visibility: Optimize Your Brand Now
Master AI search visibility with proven strategies, scalable workflows, and SEO best practices to boost your brand's presence in AI-powered search results.
- OpenAI phone reportedly lands early next year – do you want one?
Apparently, OpenAI is speeding up development on its first smartphone which could now debut as soon as early next year. Do you have any interest? more…
- Functional Cell-Type Identification in Neuronal Networks Using High-Density Microelectrode Arrays
The reliable identification of neuronal cell types - in particular, the distinction of excitatory (E) and inhibitory (I) neurons on the basis of extracellular recordings without post-hoc immunostaining or genetic labeling - remains a key challenge in neural-circuit analysis. High-density microelectrode arrays (HD-MEAs) have emerged as a powerful tool to address this issue, enabling simultaneous single-cell and network-level electrophysiology. Here, we present two complementary strategies for establishing cell-type ground truth based on HD-MEA recordings: (i) chemogenetic interneuron activation to label putative inhibitory neurons according to their functional response, and (ii) controlled mixing of excitatory and inhibitory hiPSC-derived populations at defined ratios. A classifier combining action potential waveform morphology and autocorrelogram-based discharge dynamics achieves robust cell-type discrimination in in vitro recordings of rat primary cortical cultures and hiPSC-derived n
- Apple Manufacturing Academy Hosts AI Showcase
Apple this week held the inaugural Spring Forum for its Manufacturing Academy in East Lansing, Michigan, gathering hundreds of U.S. manufacturers at Michigan State University to demonstrate how businesses are applying AI techniques learned through the program. The event was the academy's largest to date. Offsite tours formed a central part of the program, with Block Imaging, a Michigan company that services and refurbishes medical imaging equipment including CT scanners and MRI machines, hosting attendees at its facility to show how it has put the academy's training to use on the factory floor. Other stops included the MSU Facility for Rare Isotope Beams and Peckham. On-campus sessions featured speakers from McKinsey, Magna, LightGuide, and Medtronic on topics including physical AI in manufacturing and the challenges of scaling AI solutions. A poster session closed the day, featuring MSU students and small- and medium-sized business participants. Priya Balasubramaniam, Apple's vice pre
- AI-Driven Content Gap Analysis: Boost Your GTM
Learn how AI-driven content gap analysis identifies market opportunities, streamlines workflows, and powers your GTM strategy with Copy.ai.
- iOS 27 will let you choose between Gemini, Claude, and more for AI features: report
iOS 27 will give users a new way to integrate with third-party AI platforms, according to a new report. This will let iPhone users choose from multiple third-party models from companies like Google and Anthropic, including the ability to set custom voices in Siri depending on which external model is responding. more…
- Google, Microsoft to give US agency early access to AI models
Google, Microsoft to give US agency early access to AI models East Bay Times
- Failure detection in medical image classification under realistic distribution shifts: A large-scale benchmark
Medical images (MI) exhibit variability due to different acquisition protocols, devices, and patient populations, making failure detection at inference time essential for reliable deployment of clinical classifiers. As existing evaluations of failure detection methods use different settings, it is difficult to compare results and identify the best strategy, if any. We present a comprehensive benchmark of eight confidence scoring functions and two score-aggregation strategies across eight MI tasks spanning diverse modalities, backbone architectures, training setups, and failure sources. The confidence ranking ability and classification error mitigation are jointly evaluated. While no single method systematically dominated across settings, aggregation of confidence scores consistently matched or approached the best individual method and substantially reduced silent failure rate. The failure detection performance was strongly correlated with classifier accuracy for all tested settings. Th
- A toy model to understand how AI learns
A toy model to understand how AI learns EurekAlert!
- AI Transformation and Governance Inside Snowflake’s Ecosystem
Explore how Snowflake is approaching AI transformation as a governance challenge, using its partner ecosystem to deliver faster enterprise outcomes.
- Building the future of smart telecommunication systems with optical AI
Building the future of smart telecommunication systems with optical AI EurekAlert!
- Smarter than they think? The growing AI skills gap among SMEs
Small and mid-sized enterprises (SMEs) in Singapore and across the globe are quickly adopting artificial intelligence (AI) into their operations, yet a significant capability gap persists, with 95 per cent of SME decision-makers admitting they need more training to effectively leverage the technology. This paradox comes despite 72 per cent of these leaders considering themselves […] The post Smarter than they think? The growing AI skills gap among SMEs appeared first on e27 .
- How Big Tech’s New Health AI Assistants are Redefining Care (IMAGE)
How Big Tech’s New Health AI Assistants are Redefining Care (IMAGE) EurekAlert!
- Martech 2026: AI drives a major industry reset
Flat growth masks a deeper shift as AI moves to the center of value creation and forces a rethink of how martech stacks are built. The post Martech 2026: AI drives a major industry reset appeared first on MarTech .
- Partnering with Microsoft to strengthen frontier AI safety
AISI collaborates with Microsoft on high-risk capability evaluation and societal resilience research.
- New in Copilot Cowork: mobile, skills and plugins. Now available on iOS and Android, so you can delegate work from your phone, pick it back up on your desktop and keep tasks moving without breaking flow. And with new connectors, Cowork can operate across business systems and data.
The post New in Copilot Cowork: mobile, skills and plugins. Now available on iOS and Android, so you can delegate work from your phone, pick it back up on your desktop and keep tasks moving without breaking flow. And with new connectors, Cowork can operate across business systems and data. appeared first on Source .
- The enterprise AI coworker: Proactively manage tasks, execute multiple workstreams, and collaborate on your terms
Partner with an AI coworker that understands you, your work, and your business
- Every firm will need to reconceptualize work as they build agentic systems. As AI and agents take on more of the execution, the opportunity is to expand human agency and redesign how work gets done. An in-depth look from the team at what this shift means and key considerations for every business: [Read more]
The post Every firm will need to reconceptualize work as they build agentic systems. As AI and agents take on more of the execution, the opportunity is to expand human agency and redesign how work gets done. An in-depth look from the team at what this shift means and key considerations for every business: [Read more] appeared first on Source .
- Bringing the AI-Active Lesson to Life in Higher Education
Evolving from researching artificial intelligence tools to substantive applications of AI, colleges are both boosting student engagement and supporting modern teaching in college classrooms. Across the higher education landscape, “we’re moving past AI readiness and starting to talk about how we can activate learning environments with AI,” says Micah Shippee, director of education at Samsung. Samsung’s AI-powered interactive display, for example, can give learners a shared point of focus and empower teachers with a range of capabilities to ensure student engagement. DISCOVER: Samsung's…
- Putting educators at the center of AI learning
A collage of photos showcasing community engagement and professional events, including a workshop presentation, a woman outdoors near a bridge, a large group meeting, and a professional group photo in front of a Google sign.
- This AI can read rivers almost anywhere in America, and utilities are paying close attention
Hydrology experts at the U.S. Department of Energy's (DOE's) Oak Ridge National Laboratory (ORNL) used artificial intelligence and a physics-based understanding of streamflow to create a model that provides highly accurate predictions of river temperatures, even in waterways that lack sensors. The findings are published in the Journal of Hydrology.
- Everything you need to know about ChatGPT’s new Advanced Account Security features
Everything you need to know about ChatGPT’s new Advanced Account Security features IT Pro
- Model Spec Midtraining: Improving How Alignment Training Generalizes
tl;dr We introduce model spec midtraining (MSM): after pre-training but before alignment fine-tuning, we train models on synthetic documents discussing their Model Spec, teaching them how they should behave and why. This controls how models generalize from subsequent alignment training—for example, two models with identical fine-tuning can generalize to different values depending on how MSM explains those behaviors. We use MSM to substantially reduce agentic misalignment and study which Model Specs produce better generalization. 📝 Blog , 📄 Paper , 💻 Code , 🐦 Tweet Introduction Some frontier AI developers aim to align language models to a Model Spec or Constitution that describes intended model behavior. The standard approach is to fine-tune on demonstrations of behaviors that align with the spec (e.g., conversations where the model acts as intended). However, this can fail to produce robust alignment. For example, LLM agents have been shown to take unethical actions (e.g., blackmai
- When Accuracy Lies: Rethinking Metrics in Imbalanced Multiclass Models
Accuracy doesn’t lie — but it doesn’t tell the whole truth either. 1. Introduction In the world of AI, building Machine Learning (ML) models has become surprisingly easy, sprinkle in a bit of creativity, test a few architectures, and chances are you’ll get some fascinating results. The size and the architecture of these models often depend on how complex the underlying data distribution is. But in this excitement, we often tend to overlook something fundamental: The role of model evaluation metrics. These metrics are not just some numbers. They are beautifully crafted mathematical functions, designed to gauge how well our model behaves. Think of them as tiny wormhole, unending tunnels formed through equations that help us to answer some critical questions: Is the model overconfident? Does the model hesitate? or Does the choice of dataset have any impact on the results? Accuracy perhaps is the most familiar metrics due to its simplicity and interpretability. In the binary classification
- What is Claude Design?
Good design is easy to recognize: the visuals and the user flow tell your brain the actions you can take inside an app or website without explanation. But good design is hard to build. You can stare at a new design for days and still feel that a page looks bland, the navigation is confusing, or that key information doesn't pop into the viewer's attention. Claude Design levels the playing field for design beginners, letting you create designs, prototypes, and slide decks with AI so you can reach
- How to Make Claude Code Validate its own Work
Improve Claude Code performance by having it validate its own work The post How to Make Claude Code Validate its own Work appeared first on Towards Data Science .