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iPhone 17e review: Apple upgrades its cheapest new smartphone

Mid-range handset gets chip, storage and MagSafe upgrades to offer more essential iOS features for less The cheapest new iPhone has been upgraded for this year with a faster chip, double the storage, automatic portraits and MagSafe, providing even more of the core Apple smartphone experience for less.The iPhone 17e is an upgraded version of […]

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We Know You Can Pay a Million by Anja Shortland review – the terrifying new world of ransomware

Criminals extorting money online have created huge businesses, complete with branding and HRThe birth of ransomware was a stunt that got out of hand. In 1989, an evolutionary biologist called Joseph L Popp Jr was working part time for the World Health Organisation on the Aids epidemic. He was a difficult man. When he was

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Trump’s video game war: AI, memes and a simplistic narrative have flattened the conflict | Nesrine Malik in Iran

What was supposed to be a quick win has become a quagmire, so it now must be reduced to a dopamine hitThe war on Iran, even as it spreads and destabilises the Middle East and the global economy, is not real. This is how it is being portrayed by the Trump administration. The war is

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How BM25 and RAG Retrieve Information Differently?

When you type a query into a search engine, something has to decide which documents are actually relevant — and how to rank them. BM25 (Best Matching 25), the algorithm powering search engines like Elasticsearch and Lucene, has been the dominant answer to that question for decades.  It scores documents by looking at three things:

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Implementing Deep Q-Learning (DQN) from Scratch Using RLax JAX Haiku and Optax to Train a CartPole Reinforcement Learning Agent

In this tutorial, we implement a reinforcement learning agent using RLax, a research-oriented library developed by Google DeepMind for building reinforcement learning algorithms with JAX. We combine RLax with JAX, Haiku, and Optax to construct a Deep Q-Learning (DQN) agent that learns to solve the CartPole environment. Instead of using a fully packaged RL framework,

Implementing Deep Q-Learning (DQN) from Scratch Using RLax JAX Haiku and Optax to Train a CartPole Reinforcement Learning Agent Read More »

Meet GitAgent: The Docker for AI Agents that is Finally Solving the Fragmentation between LangChain, AutoGen, and Claude Code

The current state of AI agent development is characterized by significant architectural fragmentation. Software devs building autonomous systems must generally commit to one of several competing ecosystems: LangChain, AutoGen, CrewAI, OpenAI Assistants, or the more recent Claude Code. Each of these ‘Five Frameworks’ utilizes a proprietary method for defining agent logic, memory persistence, and tool

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FCA deal gives Palantir yet more access to inner workings of power in Britain

Contract affords AI analytics firm access to trove of data on one of the most important financial centres in the worldPalantir extends reach into British state as it gets access to sensitive FCA dataPalantir’s latest UK contract takes the AI and data analytics company into the heart of one of Britain’s biggest industries: financial services,

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Palantir extends reach into British state as it gets access to sensitive FCA data

Exclusive: Allowing US tech firm to analyse intelligence in name of tackling fraud raises fresh concerns over privacyFCA deal gives Palantir yet more access to inner workings of power in BritainPalantir is to be granted access to a trove of highly sensitive UK financial regulation data, in a deal that has prompted fresh concerns about

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New crypto regulations likely to be big favor to the Trump family, industry insiders say

Regulators narrow securities definitions – a shift that could benefit Trump family’s crypto projectsSign up for the Breaking News US email to get newsletter alerts in your inboxOn Tuesday, major US financial regulators published rules for the cryptocurrency industry that may reduce regulatory requirements and that insiders believe will benefit the Trump family’s ventures.The Securities

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A Coding Implementation for Building and Analyzing Crystal Structures Using Pymatgen for Symmetry Analysis, Phase Diagrams, Surface Generation, and Materials Project Integration

In this tutorial, we explore the capabilities of the pymatgen library for computational materials science using Python. We begin by constructing crystal structures such as silicon, sodium chloride, and a LiFePO₄-like material, and then investigate their lattice properties, densities, and compositions. Also, we analyze symmetry using space-group detection, examine atomic coordination environments, and apply oxidation-state

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