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Gemini 2.0 Flash AI Model Can Erase Watermarks, Raising Legal Questions

According to reports, Googles Gemini 2.0 Flash AI model can successfully erase watermarks from photographs, including those from stock media companies

According to reports, Googles Gemini 2.0 Flash AI model can successfully erase watermarks from photographs, including those from stock media companies like Getty photographs. Although it might have trouble with heavy or semitransparent watermarks, users have found that the model can recreate the underlying material when watermarks are removed. Since eliminating watermarks without agreement is generally prohibited by U.S. copyright law, this capacity has raised ethical and legal issues. On the other hand, Anthropic and Open AI models are restricted from stopping such behaviour, classifying it as immoral and may be unlawful. Currently available through Googles development tools, such as AI Studio, Gemini 2.0 Flash is classified as "experimental." Read More..

B2B Tech News | 27 days ago          

Google Issues Fix for Chromecast & Chromecast Audio “Untrusted Device” Errors

Chromecast Audio and secondgeneration Chromecast users experienced "Untrusted device" issues in early March 2025, preventing their devices from castin

Chromecast Audio and secondgeneration Chromecast users experienced "Untrusted device" issues in early March 2025, preventing their devices from casting content. This problem resulted in authentication failures and was ascribed to an expired security certificate. Through the Google Home app, Google responded by releasing a remedy version 3.30.1.6 for Android and 3.30.106 for iOS, which enabled impacted devices to get the required upgrades and resume functionality. Users may still have problems configuring their devices after doing a factory reset during troubleshooting Google is currently developing a solution for these situations. During this time, the company recommends avoiding factory resets and keeping devices online to obtain updates quickly. Read More..

B2B Tech News | 27 days ago          

Google Partners with MediaTek to Develop NextGen TPUs for AI Acceleration

Google and MediaTek of Taiwan will work together to build nextgeneration Tensor Processing Units TPUs to improve AI capabilities and cut production co

Google and MediaTek of Taiwan will work together to build nextgeneration Tensor Processing Units TPUs to improve AI capabilities and cut production costs. This collaboration replaces Broadcom, Googles existing AI chip partner, with a more affordable option while utilising MediaTeks solid ties with Taiwan Semiconductor Manufacturing Company TSMC. Google and Broadcom will continue to work together despite this new partnership. Google aims to lessen dependency on Nvidia by creating its own AI server chips and offering substitutes for internal research and cloud users. Google is expected to spend between $6 billion and $9 billion on TPUs in 2024. Read More..

B2B Tech News | 27 days ago          

Google Cloud Integrates Chirp 3 Into Vertex AI for Advanced Voice Synthesis

By incorporating its sophisticated voice synthesis model, Chirp 3, into the Vertex AI platform, Google Cloud has improved developers audio production

By incorporating its sophisticated voice synthesis model, Chirp 3, into the Vertex AI platform, Google Cloud has improved developers audio production skills. Chirp 3 allows applications like voice assistants, audiobooks, and video voiceovers by supporting 31 languages and providing 248 voices with eightspeaker options. By capturing humanlike intonation and emotional inflexions, the model produces more sympathetic and captivating speech. Developers can also use the Google Cloud TexttoSpeech API to generate their voices. Google limits voice cloning access to ensure responsible use, avoid abuse, and comply with moral AI standards. Alongside cuttingedge models like Gemini, Imagen, and Veo on Vertex AI, Chirp 3 demonstrates Googles dedication to developing AI technology while prioritising ethical issues. Read More..

B2B Tech News | 27 days ago          

Amazon to End “Do Not Send Voice Recordings” Option on Alexa by March 28

According to Amazon, local processing of Alexa voice requests will stop on 28 March 2025, when the Echo devices "Do Not Send Voice Recordings" functio

According to Amazon, local processing of Alexa voice requests will stop on 28 March 2025, when the Echo devices "Do Not Send Voice Recordings" function is discontinued. Now that all voice interactions will be sent to Amazons cloud servers for processing, the next Alexa+ service will be able to incorporate sophisticated generative AI features. Amazon promises to encrypt and remove these recordings after processing. Still, users who previously chose local processing might find their functionality diminished, especially regarding customised features like Voice ID. Because of this decision, people who wanted ondevice processing to restrict data sharing are worried about privacy. Reiterating its dedication to security and confidentiality, Amazon claims that cloud processing is necessary to enable Alexa+s expanded functionality. Read More..

B2B Tech News | 27 days ago          

Apple Releases Emergency iOS, iPadOS & macOS Updates to Fix WebKit Exploit

To fix a serious WebKit vulnerability, Apple has released three essential security updates iOS 18.3.2, iPadOS 18.3.2, and macOS Sequoia 15.3.2. This v

To fix a serious WebKit vulnerability, Apple has released three essential security updates iOS 18.3.2, iPadOS 18.3.2, and macOS Sequoia 15.3.2. This vulnerability might compromise user devices by enabling malicious online content to run code outside the browser sandbox. Apple acknowledged reports that sophisticated attacks targeting particular persons using versions of iOS before 17.2 were taking advantage of this issue. It is highly recommended that users update their devices as soon as possible to protect them from potential dangers. Mac PCs, iPads, and iPhones can all get the updates. Go to Settings > General > Software Update on an iPhone to install the update. Read More..

B2B Tech News | 27 days ago          

Google DeepMind Unveils Gemini Robotics to Enhance RealWorld AI Capabilities

Gemini Robotics, a cuttingedge AI model created by Google DeepMind, is intended to improve robot performance in realworld settings. Gemini Robotics ex

Gemini Robotics, a cuttingedge AI model created by Google DeepMind, is intended to improve robot performance in realworld settings. Gemini Robotics expands on Gemini 2.0s multimodal reasoning capabilities, which process text, images, audio, and video by adding the ability to comprehend and interact with physical spaces. This allows robots to carry out intricate tasks like folding origami, arranging desks, and playing basketball. By tackling issues that have historically restricted the practical applications of robots, this advancement seeks to increase their adaptability, interaction, and dexterity. A significant development in robotics is signalled by Google DeepMinds efforts to incorporate Gemini 2.0 into humanoid robots in partnership with the robotics company Apptronik. Read More..

B2B Tech News | 27 days ago          

Meta Unveils First InHouse AI Chip to Cut Nvidia Dependency

Meta has started testing its first inhouse AI training chip to lower infrastructure costs and lessen dependency on outside vendors like Nvidia. This s

Meta has started testing its first inhouse AI training chip to lower infrastructure costs and lessen dependency on outside vendors like Nvidia. This specialised accelerator, created in partnership with Taiwans TSMC, is more powerefficient than conventional GPUs and is tailored for AI workloads. The chip just finished the tapeout phase, a crucial stage in silicon fabrication. Meta intends to grow production for wider deployment if testing is successful. This project is a component of Metas larger plan to create custom silicon solutions, which reflects the companys dedication to developing AI capabilities and increasing hardware resource selfsufficiency. Read More..

B2B Tech News | 27 days ago          



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1.  Global online sales are predicted to reach 22% of all retail sales in 2023.
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2.  Global tablet shipments are expected to hit 142 million by 2025, reports Statista.
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3.  Artificial Intelligence is expected to contribute $15.7 trillion to the economy by the year 2030.
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5.  Approximately 8 billion gadgets connect on the internet every day.
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