AI News Archive: April 28, 2026 — Part 22
Sourced from 500+ daily AI sources, scored by relevance.
- Qualcomm executive signaled an AI smartphone weeks before report of OpenAI partnership
Qualcomm executive signaled an AI smartphone weeks before report of OpenAI partnership The Mercury News
- Alibaba DAMO Academy Unveils AI Model for Non-Invasive Colorectal Cancer Screening
Alibaba DAMO Academy introduced an AI model capable of detecting colorectal cancer from routine CT scans without invasive preparation, achieving high accuracy in clinical validation.
- AI model detects very early normally ‘invisible’ tissue changes of pancreatic cancer
AI model detects very early normally ‘invisible’ tissue changes of pancreatic cancer EurekAlert!
- DeepSeek mystery: who is speaking for start-up as CEO Liang Wenfeng remains out of sight?
The potential emergence of a new DeepSeek spokesman has sparked intrigue as speculation over the whereabouts of founder and CEO Liang Wenfeng continues, more than a year after his last public appearance. While the Hangzhou start-up’s latest V4 model did not make the same waves as its breakout moment a year earlier, the much-anticipated release still grabbed headlines through a collaboration with domestic tech giant Huawei Technologies and its remarkably low prices. For the traditionally...
- Lightelligence jumps 400% in Hong Kong debut amid AI-driven demand for photonics chips
Lightelligence, the first mainland Chinese photonics chipmaker to go public in Hong Kong, saw its share price surge by nearly 400 per cent in its trading debut on Tuesday, as investors banked on the country’s quest for a fast-growing alternative to conventional electronic semiconductors in artificial intelligence data centres. The Shanghai-based company opened at HK$880, versus the offer price of HK$183.20 – the top of its marketed range of HK$166.60 to HK$183.20. It raised HK$2.4 billion...
- Lightelligence Lists in Hong Kong, Targeting Optical Computing for AI Infrastructure
Lightelligence debuted on the Hong Kong Stock Exchange with a market value exceeding $10 billion, focusing on silicon photonics solutions for AI computing infrastructure.
- ByteDance, Zhipu AI, and Alibaba named to TIME’s top 10 most influential AI companies of 2026
TIME released its list of the 10 most influential AI companies of 2026. Unlike rankings that focus purely on model performance, this list highlights companies that are shaping the industry through their broader impact on technology pathways, industrial applications, and society at large. The companies selected this year are: ByteDance, Amazon, Zhipu AI, OpenAI, Alphabet, […]
- Netflix Cofounder Predicts That This Unexpected Field Will Experience a Resurgence in the Age of AI
Netflix Cofounder Predicts That This Unexpected Field Will Experience a Resurgence in the Age of AI entrepreneur.com
- In Depth: China’s Auto Industry Bets Self-Driving Cars Will Lead to Embodied AI
In Depth: China’s Auto Industry Bets Self-Driving Cars Will Lead to Embodied AI Caixin Global
- Kakao Mobility details Level 4 autonomous driving roadmap for physical AI
Kakao Mobility has set out plans to develop Level 4 autonomous driving technologies in-house as part of its physical AI strategy. Kim Jin-kyu, vice president and head of Kakao Mobility’s Physical AI division, presented the roadmap at the 2026 World IT Show conference at COEX in Seoul. His session focused on autonomous driving services built […] The post Kakao Mobility details Level 4 autonomous driving roadmap for physical AI appeared first on AI News .
- Oxford Robotics Institute and AtkinsRéalis to scale up autonomous robotics systems in new partnership
Oxford Robotics Institute and AtkinsRéalis to scale up autonomous robotics systems in new partnership Oxford Robotics Institute
- EraDrive and Northrop Grumman collaborate on AI-enabled autonomy
EraDrive and Northrop Grumman collaborate on AI-enabled autonomy SpaceNews
- AI Transforms the World: XPENG Showcases Its Full-Stack Physical AI Ecosystem at Auto China 2026
We have journalists at the Beijing Auto Show (Auto China 2026), but it takes time to collect and then share all of the great EV announcements happening there. In the meantime, below is one notable announcement from XPENG that was shared on Friday when the show launched. The 19th Beijing ... [continued] The post AI Transforms the World: XPENG Showcases Its Full-Stack Physical AI Ecosystem at Auto China 2026 appeared first on CleanTechnica .
- Here is what an LLM that knows nothing after 1930 thinks our world looks like in 2026
"Talkie" is a 13B-parameter language model trained only on texts written before 1931. It doubts a second world war will happen and pictures 2026 as a world of steamships, railroads, and penny novels. The article Here is what an LLM that knows nothing after 1930 thinks our world looks like in 2026 appeared first on The Decoder .
- Talkie Is a ‘Vintage LLM’ Trained on Pre-1930 Data to Help Facilitate ‘Time Travel’
Will it predict World War II? That remains to be seen.
- AI fakes of accused US press gala gunman flood social media
AI fakes of accused US press gala gunman flood social media The Straits Times
- GitHub Copilot switches to token-based billing in June 2026
Starting June 1, 2026, GitHub will charge Copilot users based on actual usage instead of premium request counts. The article GitHub Copilot switches to token-based billing in June 2026 appeared first on The Decoder .
- IBM launches AI platform Bob to regulate SDLC costs
To regulate software delivery costs and SDLC governance, IBM is launching Bob, an AI platform built to anchor enterprise engineering. Accumulated technical debt, hybrid cloud structures, and rigid compliance requirements clash with the raw speed of coding assistants. Without boundaries, they generate unmanaged liabilities rather than functional progress. Dinesh Nirmal, SVP at IBM Software, explained: […] The post IBM launches AI platform Bob to regulate SDLC costs appeared first on AI News .
- IBM launches AI development partner Bob
IBM launches AI development partner Bob verdict.co.uk
- Nvidia Nemotron 3 Nano Omni Powers Enterprise AI Agents
The model expands the AI chip giant’s non-hardware offerings.
- Introducing NVIDIA Nemotron 3 Nano Omni: Long-Context Multimodal Intelligence for Documents, Audio and Video Agents
Introducing NVIDIA Nemotron 3 Nano Omni: Long-Context Multimodal Intelligence for Documents, Audio and Video Agents
- Together AI Brings NVIDIA Nemotron 3 Nano Omni to Developers on Day 0
NVIDIA Nemotron 3 Nano Omni is now on Together AI: a single open model that reasons across video, images, audio, and text, built for agentic workloads at scale.
- NVIDIA Nemotron 3 Nano Omni Powers Multimodal Agent Reasoning in a Single Efficient Open Model
Agentic systems often reason across screens, documents, audio, video, and text within a single perception‑to‑action loop. However, they still rely on...
- Nvidia is no longer just selling the shovels. Nemotron 3 Nano Omni is the company’s most aggressive move into AI models.
Nvidia released Nemotron 3 Nano Omni on Tuesday, an open-weight multimodal AI model that unifies vision, audio, and language understanding in a single architecture designed to power autonomous AI agents on edge devices. The model has 30 billion parameters but activates only three billion per forward pass through a mixture-of-experts design, a ratio that allows […] This story continues at The Next Web
- Nvidia introduces Nemotron 3 Nano Omni with vision and speech for powerful agentic AI use
Nvidia Corp. today launched a powerful reasoning artificial intelligence model that unifies text, vision and speech, capable of acting as the “brains” of faster, smarter agentic AI applications. Dubbed Nemotron 3 Nano Omni, and weighing in at about 30 billion parameters, the new state-of-the-art model uses mixture-of-experts architecture to deliver extremely low latency and provides high flexibility and control. Nvidia combined vision and audio […] The post Nvidia introduces Nemotron 3 Nano Omni with vision and speech for powerful agentic AI use appeared first on SiliconANGLE .
- Claude for Creative Work
Claude for Creative Work
- Anthropic releases 9 Claude connectors for creative tools, including Blender and Adobe
Anthropic is targeting creative professionals with its latest Claude AI update. The company has released nine new Claude connectors that work with creative tools like Blender and more. more…
- Workshop: Build Your Technical AI Security Strategy in 90 Minutes (Repeat)
Workshop: Build Your Technical AI Security Strategy in 90 Minutes (Repeat) Gartner
- Claude Gains Integrations With Adobe, Blender, SketchUp and Other Creative Apps
Anthropic today updated Claude with new connectors aimed at creative professionals, adding integrations for Ableton, Adobe, Affinity, Autodesk Fusion, Blender, Resolume Arena and Wire, SketchUp, and Splice. Connectors are tools that Claude can use to access other platforms and help with completing tasks. Anthropic says that Claude can open up new ways for creatives to work and take on larger-scale projects. Ableton - Allows users to ask questions about the official product documentation for Live and Push. Adobe - More than 50 tools across Creative Cloud apps like Photoshop, Premiere, and Express are available. Affinity - The Affinity connector lets users automate repetitive production tasks and generate custom features. Autodesk Fusion - Fusion subscribers can create and modify 3D models through conversations with Claude. Blender - The Blender connector adds a natural-language interface for the Python API. Users can analyze and debug Blender scenes, build custom scripts to batch-apply
- Claude can now plug directly into Photoshop, Blender, and Ableton
Anthropic is also giving the Blender Foundation a load of cash to help the software stay free and open-source.
- Unlocking human ambition to drive business growth with AI
The post Unlocking human ambition to drive business growth with AI appeared first on Source .
- In An AI World, High-Performance IT Is Mandatory For Business Success
Technology leaders are operating in an environment defined by constant and accelerating disruption. AI adoption, geopolitical volatility, mounting technical debt, and unrelenting cost pressure demand that IT steps up for their business partners. Simultaneously, the tolerance of IT and CIO failures is waning as quickly, forcing a vision and strategy that goes beyond incremental improvement […]
- What CIOs told Forrester about building an AI‑ready digital workplace
What CIOs told Forrester about building an AI‑ready digital workplace Atlassian
- Enterprise AI is missing the business core
Enterprise AI is missing the business core InfoWorld
- 5 mistakes tech leaders make when deploying enterprise AI
The modern CIO has perhaps the hardest iteration of the job: transforming enterprises that run on SAP, ServiceNow and even fax machines into “AI-native,” “AI-first” organizations. From choosing between hundreds of platform options, to receiving yearlong timelines to spin up a few chatbots, to employees who just keep feeding their team’s internal data to ChatGPT, dozens of CIOs feel stuck between a rock and a hard place. But the pressure to increase operational efficiency grows each day, with 90% of enterprises actively adopting AI agents , and 79% of enterprises expect full-scale adoption of agentic AI in the next 3 years . It can feel impossible to know what to avoid and where to look more closely, on the path to enterprise AI transformation, which is why I’ve curated the top missteps I’ve noticed from working with hundreds of enterprises over the past few years to implement AI solutions. They’re hard-won insights, and I hope they’ll be useful. 1. Starting with the wrong use cases Oft
- The biggest missed opportunities for CIOs in the AI era
Somewhere right now, a CIO is sitting in a Board meeting trying to explain why the six AI tools the company has deployed in the last two years haven’t produced the ROI the board was promised. There’s an LLM in marketing. A summarizer in legal. Some bots in sales and customer service. The tools are live. The spend was significant. So where is the impact? The Board wants answers, but here’s the tough truth: The tools work. They just don’t work together. The real missed opportunity isn’t a tool Most organizations today have AI tools deployed across multiple departments. Even so, according to Boston Consulting Group, 74% of companies still struggle to achieve and scale real value from their AI investments. Why? The technology isn’t the problem. The biggest missed opportunity for CIOs right now is AI orchestration. Your company can have every tool it needs, but if none of them talk to each other, you don’t have a strategy—you have an expensive collection of silos. Orchestration in action Wh
- 77% of enterprise leaders say AI skills are urgent—so why is training still an afterthought?
At some point in the last two years, every company on earth held a meeting about AI. There were slides. There was enthusiasm. Someone said "paradigm shift." And then, in most cases, employees were handed a Claude or ChatGPT subscription and left to work out the rest themselves. But lobbing prompts at generative AI doesn't automatically make someone an expert. Just like buying a cookbook doesn't automatically make someone a chef. It takes time and guidance to learn a new skill. And when it come
- Enterprises are not running out of AI ambition — they are running out of time to act on it
Enterprise AI transformation has a new home: the boardroom. Across financial services, CEOs are now demanding results, not more roadmaps. As Google Cloud Next 2026 packed Las Vegas with announcements — from the Gemini Enterprise Agent Platform to eighth-generation Tensor Processing Units — a clear theme emerged among systems integration partners: The era of tinkering is […] The post Enterprises are not running out of AI ambition — they are running out of time to act on it appeared first on SiliconANGLE .
- Why AI agents are triggering a rethink of enterprise identity
We understand many organisations are still in the early stages of AI maturity , focusing on governance and basic controls around new technologies. One of the biggest challenges in this journey is integrating automation and AI securely into existing enterprise systems. As AI-driven attack surfaces expand, identity becomes a foundational control for securing automation and, critically, for limiting blast radius when things go wrong. Mistakes will happen; the goal of modern identity design is to ensure the impact is contained and recoverable. The rapid rise of AI agents is pushing identity controls away from a “bouncer at the door” analogy and toward continuous, context‑aware evaluation, throughout your systems and processes. Traditionally, once a user or service authenticated and received a token, that token could be replayed freely until expiry, sometimes for hours or days, without the platform rechecking whether anything important had changed about the subject's standing. This model no
- Webinar Today: A Step-by-Step Approach to AI Governance
Join the webinar to explore a practical, multi-layered roadmap to transition from fragmented AI usage to a governed, scalable ecosystem. The post Webinar Today: A Step-by-Step Approach to AI Governance appeared first on SecurityWeek .
- AI for Deal Acceleration: Faster Sales Cycles
Discover how AI accelerates deals by automating workflows, unifying GTM teams, and scaling top sales strategies for faster closes.
- Ensuring the Safety and Security of AI Systems
Ensuring the Safety and Security of AI Systems Carnegie Mellon University's Software Engineering Institute
- Hassan Ashtiani: Building trustworthy AI through mathematical foundations
Hassan Ashtiani, Professor, McMaster University | Vector Institute Faculty Member You want to share your medical data to help advance research, but you don’t want others to access your private […] The post Hassan Ashtiani: Building trustworthy AI through mathematical foundations appeared first on Vector Institute for Artificial Intelligence .
- 35-50% of planned AI data centres are behind schedule
35-50% of planned AI data centres are behind schedule smithschool.ox.ac.uk
- Korean shipbuilders eye AI data centers for growth
Korean shipbuilders eye AI data centers for growth 매일경제
- Approaches to Fairer Multilingual NLP: Perspectives on Data Quality and Model Interpretability
A:Kushal Jayesh Tatariya; TT; Research results; RL:Machine Learning & Data Science;
- Evaluating Large Language Models' Abilities to Process and Understand Technical Policy Reports
The authors detail their development of a specialized benchmark for evaluating large language models' abilities to process and understand technical policy reports, thus addressing a gap in existing domain-specific evaluation.
- A comprehensive taxonomy for large language models
A comprehensive taxonomy for large language models EurekAlert!
- Trust by design: How much can you really trust your AI agent
As the UK pours millions into agentic AI, trust by design is the missing piece.
- From hype to discipline: Delivering AI ROI in 2026
By Purushothaman KG- Partner and Head of Technology Transformation and AI, KPMG in India Artificial intelligence (AI) has firmly established itself at the center of business strategy discussions worldwide, increasingly […] The post From hype to discipline: Delivering AI ROI in 2026 appeared first on Express Computer .