AI News Archive: May 1, 2026 — Part 15
Sourced from 500+ daily AI sources, scored by relevance.
- AI Beat Maker.ai
Make beats online from prompts instantly.
- MiDash AI
Invest naturally with conversational AI.
- Mistral Medium 3.5
Mistral Medium 3.5
- hiData.ai
hiData.ai
- AI Video Translator
AI Video Translator
- Artificial intelligence aided design of peptides with custom secondary structure motifs and reduced amino acid alphabets
Proteins are highly diverse functional polymers where the specific sequence of amino acids, selected from a standard genetically-encoded alphabet of twenty (C20), determines the structure and ultimately the function of the resulting folded protein. This standard alphabet has been identified to be non-randomly distributed in physicochemical properties crucial to both structure-formation and function, often referred to as coverage theory. While machine learning models have drastically improved protein structure prediction, protein design has yet to have similar development. Here we therefore bridge contemporary biological theory with recent advancements in artificial intelligence (AI) to develop and evaluate a generative AI protein design model, trained on hundreds of thousands of proteins within the RSCB PDB, for custom secondary structure motifs using reduced amino acid alphabets. Results indicate an overall success in designing novel proteins with desired secondary structure motifs fo
- Mitigating Family Effects in RNA Secondary-Structure Prediction with Latent-Space Continual Learning
Accurate RNA secondary-structure prediction remains difficult despite decades of thermodynamics-based algorithms and the advent of deep-learning architectures (convolutional networks, Transformers, diffusion models). In fact, the datasets that pair RNA sequences with secondary-structure labels are often low-quality, noisy, and family-imbalanced, which limits out-of-distribution generalization and exacerbates catastrophic forgetting when new data regimes are introduced. We propose a continual-learning approach based on Lifelong Bayesian Optimization (LBO), RNAFoLBO, that treats each class of RNAs obtained from latent-space clustering as a sequential task and jointly orchestrates training and hyperparameter selection of heterogeneous models (UFold, RNA-FM, RNADiffFold), while preserving prior knowledge. Concretely, we apply LBO to 15 clusters obtained by clustering RNAStrAlign in the latent space of RNAGenesis, a model specialized in contextual representation learning and latent-space st
- Allosteric Logic Gate
Allostery enables proteins to transmit local perturbations to distant functional residues, providing a biophysical basis for molecular signal integration. Here we introduce an Allosteric Logic Gate (ALG): an elastic network designed to convert two independent deformations at input sites into a Boolean-like conformational output at the distant active region. We model ligand binding as constrained local deformations at two spatially separated sites and read the output through a conformational measure at the active region. We show that it is possible to optimise the network's spring constants to produce a triggered allosteric response only when both inputs are present, thereby implementing a Boolean AND gate. Moreover, the evolved networks display a strongly non linear response, matching the switch-like property of logic gates. Statistical analysis of successful networks reveals conserved mechanical motifs, including stiff bonds connecting the input regions and flanking floppy regions tha
- Spanning-Tree Thermostatistics of Protein Allostery: An Exact Kirchhoff Framework with Application to Oncogenic KRAS
This study introduces a statistical mechanical framework for allosteric communication in proteins based on the spanning-tree ensemble of residue contact networks. By representing protein structures as weighted graphs, we identify each spanning tree as a topological microstate. The canonical partition function is evaluated exactly via the determinant of the reduced weighted Kirchhoff (Laplacian) matrix, allowing for the derivation of global thermodynamic functions (including Helmholtz free energy, internal energy, entropy, and heat capacity) without approximation. Allosteric channels between specific residue pairs are defined as sub-ensembles containing unique simple paths. Using the Burton-Pemantle theorem and the Moore-Penrose pseudoinverse of the graph Laplacian, we compute exact path probabilities and channel-specific thermodynamics. This methodology enables a decomposition of channel heat capacity into energetic and topological components and quantifies residue-level allosteric imp
- Unmasking Disparities in Caesarean Section Utilization in Nigeria: A K-Means Cluster Analysis of Obstetric Risk Profiles Using Machine Learning Approach
Caesarean section rates in Nigeria remain suboptimal, with significant disparities across socioeconomic and geographic strata. The objective of this research is to identify and characterize distinct obstetric risk profiles associated with caesarean section utilization in Nigeria using K-means cluster analysis, and to examine the sociodemographic and geographic factors driving these disparities. We analyzed data from 13,915 women with recent births in the 2024 Nigeria Demographic and Health Survey. Fourteen variables spanning demographics, socioeconomic status, healthcare access, medical history, and geography were used as clustering features. K-Means clustering was performed with optimal cluster selection based on silhouette score, Davies Bouldin index, and Calinski Harabasz index. Bootstrap validation with 100 iterations assessed cluster stability, while chi-square tests and logistic regression examined associations between cluster membership and surgical delivery. Ten distinct cluste
- Machine Learning-Assisted Feature Selection Identifies the Joint Association of Body Mass Index and Periaortic Adipose Tissue as a Risk Factor for Aortic Dissection: A Multicenter Retrospective Study
BACKGROUND: Aortic dissection (AD) is a life-threatening emergency with high mortality. Although elevated body mass index (BMI) is associated with both AD incidence and mortality, the underlying mechanisms remain unclear. Periaortic adipose tissue (PAAT) increases with BMI, and the PAAT of AD shows marked inflammatory infiltration, suggesting PAAT-driven inflammation may contribute to the development of AD. However, no direct evidence links BMI and PAAT to AD. To further elucidate the obesity-inflammation-AD relationship, we aim to quantify the contributions of BMI, PAAT, and their derived indices to the risk of AD. METHODS: This retrospective multicenter study (June-November 2025) quantified PAAT around the descending thoracic aorta with CT angiography (CTA). Logistic regression analyses were performed to identify AD risk factors. Based on the Boruta algorithm (a machine learning feature selection method) and ROC curve analysis, the variable importance for AD risk was assessed. The do
- AI agents can bypass guardrails and put credentials at risk, Okta study finds
An AI agent that revealed sensitive data without being asked. An agent that overruled its own guardrails. Another that sent credentials to an attacker via Telegram, because it forgot it wasn’t supposed to do so after a reset. It’s no secret that AI agents have huge potential, balanced by equally big risks. What’s becoming apparent, however, is how quickly agentic systems can veer wildly off course and start exposing critical information under real-world conditions. A look at just how easily this can happen emerges from Phishing the agent: Why AI guardrails aren’t enough , a report on tests conducted by cloud identity and access management (IAM) company Okta Threat Intelligence, which uncovered all of the problems cited above, and more. Their research focused on OpenClaw , a model-agnostic multi-channel AI assistant which has seen explosive growth inside enterprises since appearing in late 2025. The Telegram hack In common with the growing list of rival agents, OpenClaw is only as usefu
- Enterprise Spotlight: Transforming software development with AI
Artificial intelligence has had an immediate and profound impact on software development. Coding practices, coding tools, developer roles, and the software development process itself are all being reimagined as AI agents advance on every stage of the software development life cycle, from planning and design to testing, deployment, and maintenance. Download the May 2026 issue of the Enterprise Spotlight from the editors of CIO, Computerworld, CSO, InfoWorld, and Network World and learn how to harness the power of AI-enabled development. Get the Spotlight report here: Transforming Software Development with AI
- AI chatbots need ‘deception mode’
AI is getting faster. But slow-responding AI is perceived as better by users. At least that’s the conclusion reached by new research presented at CHI’26 , which is the Association for Computing Machinery’s Barcelona conference on Human Factors in Computing Systems. Two researchers — Felicia Fang-Yi Tan and Professor Oded Nov at the NYU Tandon School of Engineering — tested 240 adults by having them use an AI chatbot. The answers were artificially delayed by two, nine, or 20 seconds. (The delay had nothing to do with the question or the answer.) Afterwards, the researchers asked how they liked the answers. In general, participants preferred the answers that took longer (although sometimes users got frustrated with the 20-second delay). Why? Because a delay led the users to believe the AI was “thinking” or showing “deliberation” — invaluable input for AI companies and an interesting result. In almost every product category, faster usually means better. But for AI chatbots, it turns out,
- Real actors, AI everything else: Inside CJ ENM's 'The House'
Hollywood's flirtation with AI has gotten serious over the last few years. It started with de-aging older actors, cleaning up visual effects and fine-tuning accents in post. Now things have moved well past that. The Russo brothers are sinking $400 million into building AI tools for filmmakers. Doug Liman is shooting a feature he claims AI trimmed from a $300 million budget down to $70 million. So where does that leave the Korean film business? As it happens, CJ ENM, the country's leading enterta
- In-Context Learning with Large Language Models for Scalable Glycemic Index Assignment to Food Composition Databases: Development, Validation, and Reproducibility
Assigning glycemic index (GI) values to food composition databases is a critical bottleneck in nutritional epidemiology. We developed an in-context learning approach using large language models (LLMs), in which a structured knowledge system (termed a skill) loads GI reference databases (~11,000 entries), expert decision rules, and error-correction heuristics into the model's context window (~300,000 tokens). The LLM performs GI assignments without scripted logic, functioning simultaneously as a semantic matching engine, numerical reasoning system, and expert curator. We validated this approach in two experiments. In Validation Study 1, the skill predicted the expert-curated US National GI Database (9,428 foods) using only European reference data, achieving within +/- 10 agreement of 73.7% without manual review - compared with 31.3% retention of previously published cosine-similarity approach. In Validation Study 2, the skill was augmented with US GIDB and applied to 1,157 European food
- As AI floods our screens, the San Francisco Silent Film Festival offers respite
As AI floods our screens, the San Francisco Silent Film Festival offers respite San Francisco Chronicle
- Oscars organization expands international film eligibility, addresses AI in new rules
Oscars organization expands international film eligibility, addresses AI in new rules San Francisco Chronicle
- Oscars organization expands international film eligibility, addresses AI in new rules
Oscars organization expands international film eligibility, addresses AI in new rules Boston Herald
- Which pothole to fix? AI team helps company develop city system
Which pothole to fix? AI team helps company develop city system EurekAlert!
- AI Agents and the end of the all-in-one employee
Around a week before I started writing this, I saw a job post on social media that was everywhere. It got a lot of attention, so I clicked to see why. The requirements were: Minimum bachelor’s degree. More than 15 years of work experience. Under 25 years old. There were plenty of other detailed requirements, […] The post AI Agents and the end of the all-in-one employee appeared first on e27 .
- Abu Dhabi launches AI-powered autonomous patrol boat trials to strengthen maritime security
Abu Dhabi launches AI-powered autonomous patrol boat trials to strengthen maritime security Gulf News
- ITC conducts field trials of autonomous patrol boats to enhance monitoring in Abu Dhabi
The trials are conducted under the supervision of the Smart and Autonomous Systems Council, in collaboration with the Abu Dhabi Investment Office and Blue Gulf Group
- The Integrated Transport Centre conducts field trials of autonomous patrol boats
This step forms part of the Centre’s broader efforts to advance smart mobility in the emirate
- The future of unmanned surface vessels includes ISR and counter-UAS
The future of unmanned surface vessels includes ISR and counter-UAS Breaking Defense
- New AI tool built to assess backroad conditions and find emergency routes
New AI tool built to assess backroad conditions and find emergency routes CBC
- Special Artificial Intelligence Zone to arrive in Muscat
This initiative aims to streamline the growth of advanced technologies
- Agentic AI is reshaping business ecosystems — CIOs must choose their role carefully
From systems to ecosystems to agents A shift has been underway for some time as value creation moves from slow, firm-centric to more rapid, co-created across a network of participants. Customers don’t experience systems; they experience outcomes. Those outcomes are assembled across a network of partners, platforms and capabilities that must work together as one . Consider NVIDIA. Its Blackwell platform is not simply a product; it is an ecosystem. Chips, software frameworks, developer tools and partner innovations combine to deliver AI capability at scale. What appears seamless to the customer is a highly coordinated system of interdependent contributors. The CIO’s responsibility is to ensure alignment among technology, agents and the ecosystem’s role. That requires the agentic AI strategy to shift from static alignment to continuous alignment, in which architecture, governance and intelligent systems evolve in real time. This shift is at the core of Digital Momentum : Architecture that
- We may now know what kind of AI bubble this is
Think railroads, not crypto. PLUS: The government can't decide what to do about Mythos, and week one of the OpenAI-Elon Musk trial
- From copilot to control plane: Where serious AI governance starts
In practice, that means setting the rules for identity, model access, permissions, logging and human approval before AI tools or agents are allowed to operate inside business workflows. The practical starting point is to identify where AI is already touching repositories, tickets, internal knowledge and business systems, then establish a minimum common control set across those entry points. The first enterprise AI conversations I kept getting pulled into sounded like tooling debates. Which copilot should we allow? Which model should we approve? How quickly can teams start using it in the IDE? How much faster will developers move? Those are reasonable opening questions. In my experience, they are rarely the questions that determine whether AI scales safely inside an enterprise. They are just the entry point. More than once, I have watched a meeting begin with a simple request to approve an AI coding assistant and end twenty minutes later in a debate about repository access, model approv
- Everything you need to know about Elon Musks OpenAI testimony
TL;DR: Musk doesn't understand what "TL;DR" stands for.
- Built at any cost: How AI infrastructure is rewriting the cloud sustainability rulebook
Built at any cost: How AI infrastructure is rewriting the cloud sustainability rulebook Computing UK
- Huawei unveils North Africa AI strategy at AI Data Center Innovation Summit
The company held its AI Data Center Innovation Summit in Egypt under the theme “Advancing Industrial All Intelligence for Africa
- Are we ready to give AI agents the keys to the cloud? Cloudflare thinks so
Cloudflare is giving AI agents full autonomy to spin up new apps. Starting today, agents working on behalf of humans can create a Cloudflare account, begin a paid subscription, register a domain, and then receive an API token to let them immediately deploy code. To kick things off, human users must first accept the cloud company’s terms of service. From there, though, their role in the loop is optional; they don’t have to return to the dashboard, copy and paste API tokens, or enter credit card details. The AI agent just does its thing behind the scenes and has everything it needs to deploy “in one shot,” according to Cloudflare. While this could be a boon to developers and product builders, it also signals a larger, concerning trend of over-trust in autonomous tools, to the detriment of governance and security. For example, noted David Shipley of Beauceron Security, cyber criminals are being forced to constantly set up new infrastructure as security firms and law enforcement fight back
- Google Is Considering Ads in Gemini, But Says It's Not Rushing Anything
Google Is Considering Ads in Gemini, But Says It's Not Rushing Anything PCMag Australia
- Google Is Considering Ads in Gemini, But Says It's Not Rushing Anything
Google Is Considering Ads in Gemini, But Says It's Not Rushing Anything PCMag UK
- Google Is Considering Ads in Gemini, But Says It's Not Rushing Anything
Google Is Considering Ads in Gemini, But Says It's Not Rushing Anything PCMag Middle East
- Forget productivity: Here are 5 strategic shifts that drive real AI value
Everyone talks about increasing productivity with AI tools. Here's how to deliver actual value.
- Bringing real-time AI into live video workflows: AWS Elemental Inference at NAB
Media and entertainment is undergoing a structural shift driven by fragmented audiences, new content formats and the growing role of AI in production workflows. The traditional broadcast model — built around scheduled programming and horizontal viewing — no longer reflects how audiences consume content. Platforms such as TikTok, Instagram Reels and YouTube Shorts have normalized […] The post Bringing real-time AI into live video workflows: AWS Elemental Inference at NAB appeared first on SiliconANGLE .
- Oscars tighten rules to curb AI use in film
Oscars tighten rules to curb AI use in film
- Millennials are best placed to navigate the AI era
As Lewis Liu turns 40, he reflects on how the generation that grew up before social media will navigate the ethical challenges of AI I’m writing this column on the steps of Widener Library at Harvard, exactly where I sat solving some physics problem set as a college kid two decades ago, currently en route [...]
- Danish Flare secures €3.6 million pre-seed to build trust layer for the AI internet - ArcticStartup
Danish Flare secures €3.6 million pre-seed to build trust layer for the AI internet - ArcticStartup ArcticStartup
- iPhone-controlled Anthbot M9 robot lawn mower has replaced cutting grass for me
I haven’t mowed my lawn in over a month, but it’s manicured like a golf course. That’s because I switched from a push mower to a robot lawn mower that I manage from my iPhone. It’s the Anthbot M9 , and it’s by far my favorite new piece of technology I’ve tried this year. more…
- Associates at Law Firms With AI-Heavy Advisory Practices Feel Less Confident About Using AI Tools Themselves
A Chambers survey found that there appears to be a disconnect between law firms that counsel clients on their AI technology use and internal firm use of these newer technologies.
- Datavault AI (NASDAQ: DVLT) Enters LOI to Acquire CyberCatch
Datavault AI (NASDAQ: DVLT) Enters LOI to Acquire CyberCatch USA Today
- Risk from fitness-seeking AIs: mechanisms and mitigations
Current AIs routinely take unintended actions to score well on tasks: hardcoding test cases, training on the test set, downplaying issues, etc. This misalignment is still somewhat incoherent, but it increasingly resembles what I call " fitness-seeking "—a family of misaligned motivations centered on performing well in training and evaluations (e.g., reward-seeking ). Fitness-seeking warrants substantial concern. In this piece, I lay out what I take to be the central mechanisms by which fitness-seeking motivations might lead to human disempowerment, and propose mitigations to them. While the analysis is inherently speculative, this kind of speculation seems worthwhile: AI control emerged from explicitly taking scheming motivations seriously and asking what interventions are implied, and my hope is that developing mitigations for fitness-seeking will benefit from similar forward-looking analysis. Fitness-seekers are, in many ways, notably safer than what I'll call "classic schemers". A c
- Seattle Mayor Katie Wilson backs data center moratorium
Support for the proposed City Council legislation comes after local officials received over 54,000 messages raising “intense public alarm,” according to Wilson.
- Risk from fitness-seeking AIs: mechanisms and mitigations
Current AIs routinely take unintended actions to score well on tasks: hardcoding test cases, training on the test set, downplaying issues, etc. This misalignment is still somewhat incoherent, but it increasingly resembles what I call " fitness-seeking "—a family of misaligned motivations centered on performing well in training and evaluations (e.g., reward-seeking ). Fitness-seeking warrants substantial concern. In this piece, I lay out what I take to be the central mechanisms by which fitness-seeking motivations might lead to human disempowerment, and propose mitigations to them. While the analysis is inherently speculative, this kind of speculation seems worthwhile: AI control emerged from explicitly taking scheming motivations seriously and asking what interventions are implied, and my hope is that developing mitigations for fitness-seeking will benefit from similar forward-looking analysis. Fitness-seekers are, in many ways, notably safer than what I'll call "classic schemers". A c
- 2 data center developers pull Seattle plans amid opposition, talk of ban
Four companies had approached Seattle City Light with data center proposals, but two have since been withdrawn.
- Charlotte City Council to consider pressing pause on new data centers
Council member Dimple Ajmera wants time to develop policies on water and electricity consumption. A May 11 discussion could lead to a public hearing.