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By integrating AI, MemPalace opens up the technique to a wider audience seeking to preserve cognitive sharpness.
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The consensus is that generative artificial intelligence (AI) exploded into the mainstream with OpenAI's launch of ChatGPT in November 2022. But those who have followed this space closely know that it all began with a paper titled “Attention Is All You Need,” written by a team of eight researchers at Google Brain (now part of DeepMind) in 2017. The paper introduced the transformer architecture, a foundational neural network used in the Generative Pre-trained Transformer (GPT) by OpenAI and the backbone of all the company's frontier AI models ever since.
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Google announced a new set of AI-powered shopping features in India on Tuesday. The Mountain View-based tech giant is integrating its Gemini models with the extensive Shopping Graph, with the aim of simplifying product discovery. Updates have been introduced across the Gemini app, AI Mode in Search, and Circle to Search to help users browse, compare, and purchase products more efficiently. The company also noted that its Shopping Graph now includes over 50 billion products, with nearly 2 billion listings updated every hour.
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Update (April 7,10:30 PM PT):The company has updated the app store listing and removed references to the Android app. But it also added that the iOS keyboard is coming soon. Google on Monday quietly released an offline-first dictation app called“Google AI Edge Eloquent” on iOSto take on the likes ofWispr Flow,SuperWhisper,Willow, and others. The app is free to download, and once its Gemma-based automatic speech recognition (ASR) models are downloaded, you can start dictating on your phone. In the app, you can see the live transcription, and when you hit pause, the app automatically filters out filler words like “um” and “ah” and polishes the text. Below the transcript are options like “Key points,” “Formal,” “Short,” and “Long” to transform the text. You can also turn off the cloud mode to use local-only processing. (When cloud mode is on, the app uses cloud-based Gemini models for text cleanup.) The Google AI Edge Eloquent can import certain keywords, names, and jargon from your Gmail account, if desired. Plus, you can add your own custom words to the list. The app displays the history of the transcription session and lets you search through all of them as well. It can show you words dictated in the last session, your words-per-minute speed, and the total number of words spoken. “Google AI Edge Eloquent is an advanced dictation app engineered to bridge the gap between natural speech and professional, ready-to-use text. Unlike standard dictation software that transcribes stumbles and filler words verbatim, Eloquent utilizes AI to capture your intended meaning. It automatically edits out ‘ums,’ ‘uhs,’ and mid-sentence self-corrections, outputting clean, accurate prose,” the company’s App Store description reads. While the app is currently only available on iOS, the App Store description references an Android version. (We have reached out to Google for more information and will update the story if we hear back.) According to the description, Eloquent offers “seamless Android integration,” where it can be set as users’ default keyboard for system-wide access across any text field. Plus, the app will be able to use the floating button feature,similar to the one Wispr Flow uses on Android, for easy access to transcription from anywhere. AI-powered transcription apps aregaining popularity among usersas speech-to-text models get better. With this experimental app,Google is joining the trend. If this test is successful, we could see improved transcription features across Android, too.
The partnerships between IITs and GCCs focus on accelerating emerging AI and robotics innovations from academic research into real-world enterprise deployments.
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The Chinese AI model was only trained on 100,000 Huawei Ascend without relying on NVIDIA chips.
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The partnership with Tesla, SpaceX, and xAI positions Intel at the centre of a $25 billion semiconductor project.
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The two-day event will feature keynote addresses, breakout sessions, hands-on labs, and an expo floor showcasing AWS technologies and partner solutions.
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AI robots are transforming childhood experiences, but psychologists and policy experts caution against overdependence and data risks.
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Anthropic said the model has already identified “thousands of high-severity vulnerabilities,” including flaws in major operating systems and web browsers.
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Uber said its AI models are trained on data from billions of trips and deliveries.
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Arcee, a tiny 26-person U.S. startup that built a massive, 400B-parameter open source LLM ona $20 million shoestring budget, has released its new reasoning model. Arcee calls the model Trinity Large Thinking — and it’s the most capable open-weight model “ever released by a non-Chinese company,” claims CEO Mark McQuade to TechCrunch. As that comment implies, Arcee has a goal that I can’t help but root for: It wants to give U.S. and Western companies a model that gives them no reason to use a Chinese-based one. While Chinese models are extremely capable, they areperceived as risky, putting power, and perhaps data, into the hands of a government that doesn’t share all of the Western world’s ideals. With Arcee, companies can download the model, train it to their own needs, and use it on premises. Companies can also use Arcee’s cloud-hosted version, accessible via API. While Arcee’s models are not outperforming the closed source models from the big labs like Anthropic or OpenAI, they’re not being held hostage by the whims of those giants, either. For instance, Claude, with its exceptional abilities to code, has been a popular choice for users of open source AI agent tool OpenClaw. But Anthropic pulled the rug out from them last week when it told users that their Anthropic subscriptionswill no longer cover OpenClaw usage— they will have to pay additionally for that. (In February, OpenClaw creator Peter Steinberger said he wasjoining Anthropic’s biggest rival, OpenAI.) In contrast, McQuade proudly points todata from OpenRouterthat says it has become one of the top models used with OpenClaw. So, how good is Trinity Large Thinking? It is comparable to some of the other top open source models, according to the benchmark results it shared with TechCrunch. As we previously reported, it is not a head-to-head threat to the big cheese among U.S.-built open models: Meta’s Llama 4. But it also doesn’t have the odd, not-reallyopen source license issuesof Meta’s model. All of Arcee’s Trinity models are released under the gold standard for OS licenses, Apache 2.0. Just to be clear, there are also countless other U.S. startups offering open source models and, as a fan of the ingenuity of startups, I’m rooting for them, too.
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