Category: news

Battery energy storage is essential to improving the reliability of renewable energy. It can collect extra energy from solar and wind power to provide electricity when needed. However, artificial intelligence (AI) is taking battery management to the next level.

Experts say AI software is now key to managing large battery systems. Companies are applying AI not only to basic tasks but also to energy trading, safety monitoring and predictive maintenance.

Advanced AI technologies enhance battery energy storage

Battery systems use intelligent tools such as machine learning, deep learning, predictive analytics and reinforcement learning. They are becoming a key tool for managing large battery systems.

By combining these technologies,  AI ensures that:

Batteries store and release energy efficiently based on demand.

Optimize performance by processing real-time data to reduce waste and improve efficiency.

These upgrades provide a stable and reliable power source, making battery energy storage more viable and cost-effective.

S&P Global says the market demand for battery energy storage systems is growing. However, the integration of  AI  is just getting started. Lithium-ion battery energy storage developers are well positioned to meet this demand.

Henrique Ribeiro, lead analyst for batteries and energy storage at S&P Global Commodity Insights, said:

“As market competition intensifies and more capacity is deployed, maximizing returns may become increasingly difficult. Therefore, such tools may become an advantage.”

Improving battery energy storage safety

Scientists, researchers and experts agree that manufacturing high-quality batteries is technically complex and challenging. As lithium-ion battery production grows, especially in China and the United States,  AI analysis will become increasingly important.

A major challenge is the rapid pace of innovation. If manufacturing errors go unnoticed, they can cause serious problems. Thermal runaway is one of them, which can cause dangerous fires. However, AI can help detect problems early and avoid costly failures.

Like other energy storage systems, batteries also have safety risks. This is a cause for concern. However, this challenge also provides an opportunity for the industry to improve safety measures.

Organizations such as the Industrial Electrotechnical Committee (IEC) and UL Solutions are raising safety standards. Therefore, effectively managing these risks is essential to maintain industry momentum.

As energy storage technology develops,  AI will help optimize operations and ensure grid reliability and sustainability.

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Purpose-built for the enterprise, helping you confidently develop, deploy, and secure AI applications.

News Highlights:

Cisco’s end-to-end solution secures the development and use of AIapplications, enabling enterprises to confidently advance their AI initiatives.

AI Defense protects against AI misuse, data breaches, and increasingly sophisticated threats that existing security solutions can’t address.

This innovative solution leverages Cisco’s unmatched network visibility and control to help you meet the evolving challenges of AI security.

San Jose, California, January 15, 2025—Cisco (NASDAQ: CSCO), a leader in networking and security, today announced Cisco AI Defense, a breakthrough solution designed to support and protect enterprises’ AI transformation. As AI continues to advance, new security challenges and threats are emerging at an unprecedented rate, and existing security solutions are no longer able to address them. Cisco AI Defense is designed to help enterprises confidently develop, deploy, and secure AI applications.

Jeetu Patel, Executive Vice President and Chief Product Officer at Cisco, said, “As business and technology leaders embrace artificial intelligence, they cannot sacrifice security for speed. In a highly competitive and rapidly changing environment, speed determines success or failure.” Cisco AI Defense Integrated into the Network: “We have integrated unique capabilities into our framework to detect and block threats during the development and access ofAIapplications, preventing them from causing harm.”

With AI, the stakes are extremely high that things won’t go as planned. According to Cisco’s 2024 AI Readiness Index, only 29% of respondents believe they are fully capable of detecting and preventing unauthorized AI modifications. Due to the multi-model and multi-cloud nature of AI applications, security challenges are both novel and complex. Vulnerabilities can arise at the model or application level, with responsibility borne by different owners, including developers, end users, and vendors. As organizations move beyond public data and begin training models with proprietary data, the risks will only increase.

To unleash the potential of AI innovation and application, organizations need a universal security layer to protect every user and every application.AI Defense empowers enterprise AI transformation by addressing two pressing risks:

Developing and deploying secure AI applications: As AI becomes more widespread, enterprises will use and develop hundreds, even thousands, of AI applications. Developers need a comprehensive set of AI security measures for each application. AIDefense helps developers scale faster and create more value by protecting AI systems from attacks and ensuring cross-platform model behavior. AI Defense capabilities include:

Understanding AI: Security teams need to understand who builds applications and the training sources they use. AI Defense detects malicious and regulated AI applications across public and private clouds.

Model validation: Model adjustments can lead to adverse consequences. Automated testing verifies AI models for hundreds of potential security issues. This AI-powered algorithmic red team identifies potential vulnerabilities and recommends safeguards that security teams can implement to prevent AI attacks.

Runtime security: Continuous validation provides ongoing protection against potential security threats such as edge injection, denial of service, and sensitive data leakage. Securing access to AI applications: As end users adopt AI applications, such as summarization tools, to improve productivity, security teams must protect against data breaches and data poisoning. AI Defense provides security teams with the following capabilities:

Visibility: Gain comprehensive visibility into shadow AIapplications and approved AI applications used by employees.

Access Control: Enforce policies that limit employee access rights.


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An unexpected, potentially historic, collaboration may be brewing between two of the world’s largest tech companies. According to Bloomberg, Apple is in advanced talks to integrate Google’s Gemini artificial intelligence model to power a major upgrade of its long-running but recently criticized voice assistant, Siri. This rumored partnership isn’t the first between the two companies, but it may be a much-needed strategic move for Apple to catch up with the likes of Perplexity, OpenAI, and Google in the field of artificial intelligence.

For years, Siri has lagged behind competitors like Google Assistant and Amazon Alexa in its ability to handle complex, open-ended questions. Therefore, this partnership will enable Siri to leverage Gemini’s large language model to provide richer, more conversational, and contextually aware answers. While Apple currently uses its own Apple Foundation Models for personal and privacy-sensitive requests, this partnership will allow Siri to route more complex questions requiring answers from web information to a version of Google Gemini. Gemini will reportedly run on Apple’s private cloud computing servers to maintain a high level of privacy. Cupertino had previously held talks with other AI companies, including OpenAI and Anthropic, but partnering with Google made strategic sense given their existing partnership. In fact, Apple and Google’s partnership dates back to the early days of the iPhone, when the device defaulted to integrating key Google services, including Google Search, Google Maps, and even the YouTube app. For years, Google Search was the default search engine in Apple’s Safari browser, a lucrative partnership reportedly generating billions of dollars in revenue for Apple annually.

Although the two companies became fierce competitors after Google launched Android, their strategic partnership has remained. Even as Apple develops its own competing services, such as Apple Maps, it still relies on Google to maintain its search dominance, a partnership recently affirmed by a significant court ruling.

Of course, another winner from this partnership is the end user. The launch of “Apple Intelligence” (the company’s take on Gemini), originally scheduled for 2025, has been delayed until sometime in 2026, meaning consumers are already impatient for Apple to take action.

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OpenAI released ChatGPT-5 on Thursday, touting it as a major leap forward in artificial intelligence, with enhanced reasoning, task automation, and coding capabilities. The new model will be freely available to all users as OpenAI continues to compete in the rapidly evolving global AI  race. As the global technology race accelerates, OpenAI released the much-anticipated next generation of its iconic ChatGPT on Thursday, touting a “significant” advance in AI capabilities.

In a briefing with reporters, OpenAI said ChatGPT-5 will be freely available to all users of its AI  tools, which are used by nearly 700 million people each week.

Co-founder and CEO Sam Altman called the latest version “clearly a model of general intelligence.”

“This is a significant step toward a truly capable model,” he said.

Altman cautioned that much work remains to achieve artificial general intelligence (AGI), which can think like humans.

“This isn’t a model that continuously learns as it’s deployed to new things, which to me should be part of AGI,” Altman said.

“But there’s a huge improvement in the level of capability here.” Michelle Pokrass, a member of the development team, said GPT-5 is particularly good at letting AI  act as an “agent” to independently handle computer tasks.

“GPT-3 to me felt like talking to a high school student—you ask a question, maybe you get a correct answer, maybe you get some crazy answer,” Altman said.

“GPT-4 felt like talking to a college student; and GPT-5 is the first time you really feel like you’re talking to a PhD-level expert on any subject.”

Ambient Coding

Altman said he expects the ability to create software programs on demand—so-called “ambient coding”—to be “a defining part of the new ChatGPT-5 era.”

For example, OpenAI executives demonstrated a robot being asked to create an app for learning French.

Altman said ChatGPT-5 is leading the way in areas like coding, writing, and healthcare, as the global race for the technology intensifies.

Competitors including Google and Microsoft have invested billions of dollars in developing AI  systems.

Altman said there are “orders of magnitude more progress” ahead on the path to general artificial intelligence.

“Obviously… you have to invest in computing power at an incredible rate to achieve this, but we intend to continue doing so.”

Alex Beutel, head of security research at OpenAI, said ChatGPT-5 has also been trained to be trustworthy and to provide answers that are as helpful as possible, rather than assisting with seemingly harmful tasks.

“We built an evaluation system to measure the prevalence of deception and train the model to be honest,” Beutel said.

Beutel said ChatGPT-5 is trained to generate “safely completed” high-level information that will not be used to cause harm. Just a day earlier, OpenAI announced that it would allow the US government to use a version of ChatGPT designed for businesses for one year for $1.

According to AI luminaries, ChatGPT Enterprise will be available free of charge to federal workers across the executive branch through a partnership with the General Services Administration.

The company also released two new AI models this week, which users can download and modify for free to challenge similar products from US and Chinese competitors.

The release of the gpt-oss-120b and gpt-oss-20b “open weight language models” comes as ChatGPT’s makers face pressure to share the inner workings of their software, in keeping with its nonprofit nature.

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Apple (AAPL) plans to use AI technology to solve the battery life problem of iPhone. According to people familiar with the matter, the company plans to launch an artificial intelligence battery management mode for iOS 19, the iPhone software update to be launched in September.

People familiar with the matter said that the enhancement will analyze how iPhone users use their devices and make adjustments to save energy. In order to create this new technology as part of the Apple Intelligence platform, Apple is collecting battery data from user devices to understand usage trends and predict when the power consumption of certain applications or features should be reduced. People familiar with the matter said that the technology will have a lock screen indicator showing how long it will take to charge the device. Apple (AAPL.US) held a global developer conference at its headquarters in California on Monday and announced the launch of a new visual design language “Liquid Glass”, which will upgrade all iPhone, iPad and Mac operating systems. It is also the first major redesign of the iPhone operating system since 2013. However, there were few artificial intelligence features involved at the conference, only the translation function was incorporated into the system and new tools were added to shortcuts. The advanced version of Siri  AI promised by Apple has not yet appeared, and the market was disappointed. Apple’s stock price fell 1% on Monday. The new system design update, called “Liquid Glass,” includes translucent features such as redesigned notifications and more. Apple says it is more dynamic than previous design languages and will bring greater consistency across all operating systems, including iOS, iPadOS, and macOS. At the same time, Apple will also change the names of all its operating systems, launching iOS 26 instead of iOS 19 this fall. iPadOS 26, watchOS 26, and other systems will follow suit, marking the first time Apple has given its software updates a release year instead of an arbitrary code name. In terms of  AI , Apple has integrated Apple Intelligence into the existing Shortcuts app and updated the visual intelligence feature, which can use the iPhone’s camera to identify objects and events. Visual Intelligence provides an “Ask” button that enables users to ask ChatGPT what’s on their screen. At the same time, the enhanced Image Playground tool released by OpenAI for the next version of iOS is introduced, where users can describe the desired style and ChatGPT will adjust the image. The iPad is undergoing major changes, including a new multitasking system that mimics the Mac. Apple demonstrated the ability to open six apps on the iPad screen at the same time, and supports background tasks, so apps can be switched during video export. Apple (AAPL.US) has an internal release target of launching an upgraded version of Siri  AI in the spring of 2026, hoping to turn things around in the  AI market. Foreign media quoted people familiar with the matter as saying that the Siri team plans to include this important AI upgrade in the iOS 26.4 release. Siri will be able to analyze user profiles and screen operations to provide more accurate and personalized responses. As usual, Apple releases a “.4” update around March each year, such as this year’s iOS 18.4 and last year’s iOS 17.4. Apple reiterated its earlier statement that the Siri upgrade plan will be carried out next year.

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As AI-generated artworks become more sophisticated, it can be tricky to tell them apart from human creations. However, there are some key signs and tools that can help you recognize the difference.

The truth is in the details. Inconsistent or unnatural features, such as asymmetrical faces, distorted hands, too-perfect lighting that doesn’t fit the scene, or objects that interact in uncanny ways, are red flags.

Extremely smooth or plastic-like textures. Skin in AI artwork may appear unnaturally flawless, which is enough evidence that the image is AI-generated. It’s obvious that pores, wrinkles, or subtle imperfections common in natural skin are missing from human images.

Repeating patterns. Due to the limitations of its training data, AI may have repeating textures or artifacts in the background. When in doubt, check the background. Due to the way AI learns and constructs images, AI-generated images often contain repeating textures, shapes, or artifacts recycled from other images.

Lack of conceptual depth. While AIcan mimic style, it often looks bland and lacks deeper meaning. While human artists’ work often conveys intent, emotion, or narrative, AI-generated work can appear empty or random.

Illogical elements: AI can sometimes combine elements that don’t make sense, such as mismatched reflections, impossible physics, or inconsistent perspectives.

While some chatbots, like Gemini, add an AI watermark to generated images, this isn’t always the case. When in doubt, use an AI art detector. Here are my favorites.

Art professionals can, of course, identify AI-generated work by analyzing style, composition, and color choices. Their trained eyes are able to pick up on patterns and inconsistencies that algorithms are prone to.

Final Thoughts

This is just the beginning. AI-generated videos are quickly replacing images and photos, and AI music is not far behind. The genie is out of the bottle, and like it or not, we’ll be using these tools more in the coming months and years.

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How would you feel if your internet search history was put online for others to see?

That may be happening to some users of Meta AI without them realising, as people’s prompts to the artificial intelligence tool – and the results – are posted on a public feed.

One internet safety expert said it was “a huge user experience and security problem” as some posts are easily traceable to social media accounts.

This means some people may be unwittingly telling the world about their searches – such as asking the AI to generate scantily-clad characters or help them cheat on tests.

Meta says chats are private by default, and if users make a post public they can choose to withdraw it later.

Before a post is shared, a message pops up which says: “Prompts you post are public and visible to everyone… Avoid sharing personal or sensitive information.”

However – given the private nature of some of the queries – it is not clear if the users understand their searches are being posted into a public “Discover” feed on the Meta AI app and website, and that these could be traced to their other social accounts through usernames and profile pictures.

The BBC found several examples of people uploading photos of school or university test questions, and asking Meta AI for answers.

One of the chats is titled “Generative AI tackles math problems with ease”.

Another user’s conversation which was posted publicly was about them exploring questions around their gender and whether they should transition.

There were also searches for women and anthropomorphic animal characters wearing very little clothing.

One search, which could be traced back to a person’s Instagram account because of their username and profile picture, asked Meta AI to generate an image of an animated character lying outside wearing only underwear.

‘You’re in control’

Meta AI, launched earlier this year, can be accessed through its social media platforms Facebook, Instagram and Whatsapp.

It is also available as a standalone product which has a public “Discover” feed.

Users can opt to make their searches private in their account settings.

Meta AI is currently available in the UK through a browser, while in the US it can be used through an app.

In a press release from April which announced Meta AI, the company said there would be “a Discover feed, a place to share and explore how others are using AI”.

“You’re in control: nothing is shared to your feed unless you choose to post it,” it said.

But Rachel Tobac, chief executive of US cyber security company Social Proof Security, posted on X saying: “If a user’s expectations about how a tool functions don’t match reality, you’ve got yourself a huge user experience and security problem.”

She added that people do not expect their AI chatbot interactions to be made public on a feed normally associated with social media.

“Because of this, users are inadvertently posting sensitive info to a public feed with their identity linked,” she said.

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The Intelligent Revolution of Drone Batteries

With the rapid development of drone technology, batteries have evolved from simple energy supply units to “intelligent power centers” integrated with AI algorithms. The flagship models represented by DJI Mavic 3 Pro use the DJI BP03 intelligent battery to achieve a comprehensive upgrade in battery life prediction, health management and safety protection through artificial intelligence technology. This article will deeply analyze how AI empowers drone batteries and explore future technology trends.

1. AI-driven battery management system (BMS)

1. Dynamic battery life prediction algorithm

Traditional batteries only display a rough percentage of power, while the AI ​​system of Mavic 3 Pro analyzes in real time: flight attitude data (wind speed, climbing resistance), environmental parameters (temperature, altitude)

Load status (gimbal power consumption, image transmission strength)

Combined with historical data models, it can accurately predict the remaining flight time (error <3 minutes). For example: when it detects flying against the wind, the system will automatically lower the battery life display and recommend returning home.

2. Adaptive charging and discharging strategy

Intelligent charging sorting: Charging manager (Battery Hub 03) uses AI to prioritize charging the battery with the lowest power, increasing efficiency by 20%

Cycle life optimization:  AI will learn user habits and automatically maintain the battery at 50% power (the best storage state for lithium batteries) during the non-shooting season

3. Fault prediction system

By monitoring:

Battery cell voltage difference (warning when >0.1V), internal resistance change trend, abnormal charging rate

Prompt battery attenuation risk 3-5 cycles in advance to avoid power outage accidents during flight

2. Deep integration of AI and battery safety

1. 3D temperature field modeling

The battery has 5 built-in temperature sensors, and  AIconstructs a 3D thermal map:

Normal working conditions: uniform heat dissipation design

Extreme environment: automatic output power limit (such as 10% power reduction at 40°C high temperature)

3. AI-enabled user interaction experience

1. Voice assistant linkage

Through the “DJI Assistant” APP, you can achieve:

“Check battery health” → Display cycle number/maximum capacity

“Plan multi-battery charging” → Automatically calculate the optimal charging sequence

3. Smart maintenance reminder

Automatically push based on frequency of use:

“You have a battery that has been idle for more than 30 days, it is recommended to charge to 60%”

“The current cycle number has reached 150 times, it is recommended to enable the backup battery” AI fast charging optimization

Through neural network learning battery chemical characteristics, complete 0-80% charging in 15 minutes (currently takes 40 minutes).

Wireless charging collaboration

UAVs and charging piles automatically adjust coil positions (error <1mm) through AI negotiation to dynamically match transmission power (up to 500W)

Hydrogen-electric hybrid system

AI manages the coordinated energy supply of fuel cells and lithium batteries:

Cruise phase: hydrogen fuel cells are the main

Maneuvering phase: lithium batteries instantly replenish power

Conclusion: Redefine energy management

DJI has not only solved the “range anxiety” and “safety concerns” of traditional drones by deeply embedding AI into the battery system, but also created a new paradigm for intelligent energy management. With the evolution of machine learning algorithms, drone batteries in the future may have self-diagnosis and self-repair capabilities, further unleashing creative potential. For professional users, understanding these  AI features will directly improve flight safety and shooting efficiency.


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The artificial intelligence (AI ) mobile browser Arc Search is coming to Android, the company confirmed on Saturday. The browser made its debut early this year and has gained popularity for its AI  features such as Browse for Me, where AI  reads multiple web pages to display relevant information, AI  summaries, and more. In May, the company released a Call Arc feature that offers two-way communication where users can verbally ask queries and the AI ​​responds.

Arc Search confirms it is developing an Android app

In response to a post by a user on Threads who asked if the app is developing an Android version, the official Threads account of Arc Search said that an Android app is coming soon. This is the first time the company behind the app has officially confirmed that it is developing an Android app.

Arc Search was launched on the App Store by the Browser Company in January 2024. Later, the platform was expanded to Mac devices and a version for Windows was launched. However, the browser is still not available on Android. The browser has several unique features such as the Browse for Me mode where, upon receiving a search query,AI browses relevant web pages to find information in an easy-to-read format. It also comes with features like AI summarization, auto-archiving, ad blocking, private browsing mode, safe tags, reading mode, and more.

The company is also regularly adding new features to the app. Since its launch, the Arc Search browser has gained a “Share Browsing Me” mode and a “Call Arc” feature. The latter is a hands-free feature where users can talk to the app and the AI ​​then answers the query. Notably, Arc Search uses the OpenAI API, along with several other AI  models, to power the AI ​​features in the browser. For now, the company has not revealed if there will be any Android-specific features. There is no word yet on when the browser will debut on the Android operating system.

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AI -powered search makes it easier to ask Google any question and get helpful answers with web links. That’s why AI Overview has been one of the most successful features in Google Search over the past decade. As users use AI Overview, we’ve seen them become more satisfied with their search results and search more often. AI Overview has driven more than 10% growth in usage of queries showing AI Overview on Google. 1

AI Mode in Search, delivering cutting-edge AI capabilities

Since launching AI Overview, we’ve heard from our power users that they want an end-to-end AI search experience. So we started testing AI  Mode in Search in Google Labs earlier this year, and today we’re launching it in the US—without signing up for Labs. AI Mode is our most powerful AI search feature yet, with more advanced reasoning and multimodal analysis, and the ability to explore deeper with follow-up questions and helpful web links. In the coming weeks, you’ll see a new AI Mode tab in the search bar on Google Search and the Google app. AI mode uses our query fan-out technology underneath to break your question into subtopics and issue multiple queries for you at once. This allows Google Search to explore the web more deeply than traditional Google Search, helping you discover more web resources and find high-quality, relevant content that matches your question.

AI mode is our first introduction to cutting-edge features in Gemini and a preview of where we’re headed. As we gather feedback, we’ll gradually incorporate many features in AI mode into the core search experience. Starting this week, we’re rolling out AI  mode and a custom version of Gemini 2.5 (our smartest model) in the US.

We’re also showcasing new, advanced features coming soon to AI mode, which will be available first in Labs over the next few months to gather feedback and input from advanced users. Read on to learn more.

Deep search in AI mode to help you research

For questions that require more comprehensive answers, we’re introducing a deeper research feature in AI mode called Deep Search. Deep Search uses the same query fan-out technology, but takes it to the next level. It can launch hundreds of searches in minutes, reason about different pieces of information, and create professional, complete citation reports, saving you hours of research time.

Live Search Mode

We continue to push the boundaries of visual search with Google Lens, which more than 1.5 billion people use every month to search for what they see. Now we’re taking another step in multimodal search by bringing the real-time capabilities of Project Astra to Google Search. With Google Search Live, you can interact with Google Search in real time using your camera to discuss what you’re seeing. Agents that do your work for you

You often use Google Search to get work done, and now we’re bringing the agent capabilities of Project Mariner to AI Mode to help you save time on tasks like buying tickets. Simply type “Find two affordable tickets to the Reds Lower Deck game this Saturday” and AI Mode will launch a query fan-out, analyzing hundreds of potential ticket options across websites, including real-time prices and availability, and taking care of the tedious form filling. AI  mode shows you ticket options that match your exact criteria, and you can choose to complete your purchase on your favorite sites—saving you time while keeping you in control. A new AI shopping companion to help you find the perfect item

The new AI shopping experience combines the powerful Gemini model with our shopping graph to help you browse items, find inspiration, think about considerations, and narrow down your product choices. If you want to see how something looks on you, just upload a photo of yourself to virtually try on billions of outfits. Once you find something you like, you can ask our new proxy checkout feature to purchase it on your behalf using Google Pay, with your guidance and supervision if the price is right. Read our shopping article to learn more.

Context in AI mode to get customized results

To provide a more personalized experience, AI mode will soon provide personalized suggestions based on your search history. You can also choose to connect other Google apps, starting with Gmail, to get more context about you.

You’ll see when AI mode is using your context to help. You’re always in control and can choose to connect or disconnect at any time.

Custom charts and graphs to visualize your data

When you need additional data processing or visualization help, AI mode can analyze complex data sets and create vivid charts, all tailored to your query. For example, you want to compare the home field advantage of two different baseball teams. Search will use Google’s real-time sports information for analysis and generate interactive charts to answer your specific question.

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