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Long-horizon reasoning exposes a core weakness in AI agents: context windows fill up fast, and retrieval pipelines return noise instead of signal.To solve this, researchers at the National University of Singapore developed MRAgent, a framework that abandons the static "retrieve-then-reason" approach. Instead, it uses a mechanism that allows an agent to dynamically develop its memory based on accumulating evidence. This multi-step memory reconstruction is integrated into the reasoning process of the large la
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An East Bay apartment complex has been bought at a price that's well below its prior value. Read more ›
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A PG&E Corp. unit has bought a San Jose building in a move to bolster the utility's South Bay operations. Read more ›
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Mollie doubles down on Europe with €350m expansion plan: ‘Superapp is a convoluted word’ Read more ›
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It looks like Google is already hard at work on the Pixel 11a, even though the flagship Pixel 11 series hasn't launched yet. Read more ›
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AI is changing tech careers, but it won't take away the importance of a STEM degree, says Demis Hassabis. Read more ›
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Geopolitical tensions and renewed fears of U.S.-China frictions are weighing on risk assets, including bitcoin. Read more ›
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John Ratcliffe said the deadly conditions have been spurred mainly by Ukraine's AI-powered drones. He urged the US to learn quickly from Kyiv. Read more ›
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Back in April, a rumor claimed that Huawei would unveil the Mate XT2 in October. Now, a newly surfaced patent for the alleged tri-fold smartphone hints at a new design and folding mechanism. The patent images, shared by well-known tipster Ice Universe on X, suggest that the Mate XT2 could adopt an inward-folding design, replacing the Z-shaped folding mechanism used on the Mate XT and Mate XTs. The folding mechanism... Read more ›
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The UK and EU have committed twice as much money as the US to investments in the computing sector Read more ›
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The weapons buried with royal women weren't just for show, new research suggests. Read more ›
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Founder of VC firm Lakestar has raised a $300mn ‘resilience’ fund to back European dual-use and defence tech start-ups Read more ›
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Here are the ways leading companies are already responding to the AI revolution in professional services Read more ›
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An anonymous reader quotes a report from NBC News: Trump Media & Technology Group has unveiled a paid-for, licensed data feed that will give banks and trading firms "the fastest" access to posts from influential Truth Social accounts, such as President Donald Trump's, whose posts often move global markets. The product, called 'Truth API,' will deliver posts from the 10 most influential accounts to customers at a significantly faster pace... Read more ›
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The decision to leave a relationship gets made in the prefrontal cortex, but the routines built around another person live in the striatum — and those circuits keep firing on cue for weeks after the person is gone. Read more ›
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Google Vids gets a big AI upgrade with Gemini Omni, personal avatars, and more expressive voice controls. Read more ›
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The AI-powered image creation and editing application Google Pics was first made available in Gemini Alpha in May, and the company now plans to release it to all paying Workspace customers starting in August. Read more ›
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Jio Financial Services’ Bumper Q1 It was a profitable Q1 for Jio Financial Services. Buoyed by a humming lending engine… Read more ›
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Robovacs were flying off the shelves at Amazon during Prime Day, but there are still plenty of discounts of up to 69% from Dreame, Roborock and more if you missed out. Read more ›
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The Indian payments infrastructure firm swung from a ₹145 Cr loss to ₹113 Cr profit in a single year, processing $194bn in gross transaction value. Read more ›
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VentureBeat
The vast majority of business data is tabular — living in data warehouses, CRMs, and financial ledgers — yet building a reliable model from it still means training a new one from scratch for every dataset, then maintaining hyperparameter tuning loops, feature engineering, and retraining pipelines to fight data drift. Google Research is proposing a way around that: a new foundation model called TabFM that treats tabular prediction as an... Read more ›
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Enterprise AI teams are giving agents more freedom at the same moment their confidence in automated testing is collapsing.Half of enterprises have deployed an AI agent or LLM feature that passed internal evaluations and yet still caused a customer-facing failure — one in four more than once — according to the June 2026 VB Pulse survey of 157 qualified enterprise respondents at companies with 100 or more employees.The sample is... Read more ›
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Enterprise companies are running AI agents ahead of the controls needed to manage them — and they deployed that way knowingly. That is the central finding from VentureBeat Research's June survey of 573 technical leaders at companies with 100 or more employees, fielded across five parallel surveys of the agentic stack. Enterprises are now retrofitting to catch up with their own standards, and they are budgeting for it: Roughly six... Read more ›
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OpenAI on Thursday launched ChatGPT Work, a new AI agent embedded inside its flagship chatbot that aims to transform ChatGPT from a question-and-answer tool into an autonomous work platform capable of executing complex, multi-step tasks across users' email, calendars, code repositories, and messaging apps.The product is powered by OpenAI's latest flagship model, GPT-5.6, and is designed to go far beyond generating text. ChatGPT Work can gather context from connected apps,... Read more ›
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An enterprise AI agent answers with total confidence, but the number is wrong. Nobody catches it until someone traces it back to a stale metric definition or a document the retrieval system never pulled. The model did not fail. The context it was given did.In the past six months, 57% of enterprises traced a confident but wrong AI agent answer to missing or inconsistent business context, and 31% said it... Read more ›
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Slopsquatting represents an emerging supply chain threat made possible by AI hallucinations. As developers increasingly rely on AI coding assistants, they unknowingly grant cybercriminals access to their software from day one. Understanding what slopsquatting isSlopsquatting is a new type of supply chain attack that uses large language model (LLM) hallucinations to inject malicious code into development workflows. The term combines "AI slop" and "typosquatting," a deceptive practice where attackers register Read more ›
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DeepSeek's recent decision to drastically cut pricing on its V4-Pro model by 75% should have been unequivocally good news for enterprise AI vendors and developers. Instead, many are discovering that cheaper models don’t automatically translate into healthier margins.The reason is simple: While inference costs plummet, agent systems are voraciously consuming tokens faster than prices are declining. For the last 2 decades, software economics was dictated by the same rule. Infra... Read more ›
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Presented by Kasm TechnologiesEnterprise infrastructure teams have spent the better part of a decade pushing workloads into Kubernetes. Applications, APIs, batch jobs, data pipelines — if it runs in a container, it belongs in the cluster. The operational benefits are well-established: declarative configuration, horizontal scaling, self-healing, native integration with CI/CD pipelines and observability tooling. Kubernetes has become the default operating model for production workloads.Except for desktops.Sec Read more ›
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Slopsquatting represents an emerging supply chain threat made possible by AI hallucinations. As developers increasingly rely on AI coding assistants, they unknowingly grant cybercriminals access to their software from day one. Understanding what slopsquatting isSlopsquatting is a new type of supply chain attack that uses large language model (LLM) hallucinations to inject malicious code into development workflows. The term combines "AI slop" and "typosquatting," a deceptive practice where attackers register Read more ›
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Model routing is becoming a key component of the enterprise AI stack, dynamically sending prompts to the right AI model to optimize speed and costs. However, current frameworks mostly treat routing as a static classification problem, which severely limits their potential.A new open-source framework called Agent-as-a-Router tackles this bottleneck, treating the router as a dynamic, memory-building agent. It uses a Context-Action-Feedback (C-A-F) loop to track model successes and failures and... Read more ›
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17.07.2026 00:58
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