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Meta is bringing its Muse AI agent to the Apple Watch and Android’s Wear OS, the companyannouncedon Monday. With the launch, users can now interact with Meta’s AI assistant through voice calls, text messages, or dictation directly on their smartwatch. Works around the clock, and now on your wrist. Muse is now on Apple Watch and Wear OS ⌚️pic.twitter.com/97QRap5XKz The smartwatch launch comes just a month after Meta introduced a dedicatediPad appfor Muse. First launched on the App Store in September, the AI assistant’s expansion across Apple devices signals Meta’s growing ambitions for its consumer AI product and its focus on making Muse a central part of its ecosystem. Muse is now one of dozens of consumer-facing AI agents competing for users’ attention. Like many of its competitors, it allows users to connect their accounts to manage email, meetings, bills, and more, while also handling tasks such as booking reservations, ordering groceries, setting goals, and making purchases. Users can also personalize their Muse avatar to their liking and change it into something that resembles a person, an animal, or another type of character. Despite being a relatively new product, Meta has wasted little time introducing new capabilities to Muse. A few days ago, Meta launchedSpaces, a new way to communicate and collaborate with Muse. Spaces function as dedicated conversations around specific topics, which Meta describes as “custom experiences” as they’re mini apps that are built on the fly. They appear in the sidebar of the Muse interface and bring up a focused conversation where the AI agent works toward a particular goal on the user’s behalf. Last week, Meta rolled out the ability for users in the U.S. tovideo chatwith their Muse AI avatar. Meta said Muse will use “subtle expressions and gestures” that reflect the tone and context of the conversation as it speaks. It’s worth noting that Muse doesn’t actually see users, but can hear them and respond in real-time. Shortly after its launch, Muse became one of just 12 mobile apps to havesurpassed 10 million U.S. downloadswithin their first 40 days in the App Store. Only 11 other apps have achieved this milestone, with Meta’s Threads being the most recent in July 2023.
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Google is notching up its chipmaking game as the company seeks to reduce its dependence on chips made by other companies for its cloud computing business. Google on Mondayunveiledtwo new variants of its tensor processing units (TPUs), in-house-developed chips meant for AI workloads, that broaden its chip portfolio to additional use cases: confidential inference and more memory capacity for large workloads. The new units, TPU 8tx and TPU 8i Max, are part of the company’s eighth generation of chipsintroducedin April this year, and build on what those chips offered, which was more inference capacity and support for large training requirements. TPU 8tx, designed with AMD, is based on the TPU 8t chip, and is geared specifically for confidentially training and running AI models, Google said in a blog post. The chip “builds security directly into the hardware layer, keeping sensitive data and model weights protected and isolated even while in active use,” the company wrote. The chip also has a custom inferencing network that lets it run reasoning alongside training, so it can be used to distill and train small models on the fly. That ability, according to Google, could prove useful for cases where a company might want to train a model on its proprietary data without having to move the data between devices. Meanwhile, TPU 8i Max basically combines two of the inference-focused TPU 8i chips the company launched in April, doubling the memory capacity, processing power and bandwidth, but in a single package. The result is a chip that lets AI models handle a larger range of information during queries. The chip launch comes as hyperscalers likeMicrosoft,Amazon, and even AI labs likeOpenAIandAnthropicare working on their own lines of AI-specific semiconductors andaccompanying softwarein order to reduce their reliance on the dominance of Nvidia. The news also comes at a particularly vulnerable moment for Nvidia, whose CEO Jensen Huang over the weekendadmittedtohaving an affairwith someone alleged to be a Chinese spy.
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TPU 8tx is built for confidential AI inference, allowing enterprises and governments to process sensitive data.
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The US president believes NVIDIA CEO Jensen Huang didn’t have any knowledge of being targeted by Chinese intelligence.
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The Power plan is listed at ₹1,799 and the Maximum tier at ₹8,999, although Meta has not confirmed an India launch date or the prices.
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As AI changes engineering delivery, larger IT services firms are buying specialist capabilities. The challenge is turning those acquisitions into new business.
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The expansion will place millions more teenagers under Instagram's Teen Account restrictions, even if they registered as adults.
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Qantas will move some corporate services to Accenture teams in India as part of a technology overhaul that will introduce more automation and AI.
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Gartner said its Value-Risk Flywheel will help CIOs align AI value with risk, using momentum and drag, with a governor at its centre.
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The rise of Reverse Engineer Anything project has sparked concerns among software vendors over intellectual property clones. But there's a legal loophole.
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The healthcare AI startup will develop an offline, local-language application to help frontline health workers identify disease hotspots and plan household screenings.
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TSMC's October revenue rose 59.7% year-on-year, as demand for advanced semiconductor manufacturing continues to drive growth, contrasting with recent volatility in NVIDIA's shares.
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