Google has unveiled Gemma 3, a collection of open AI models featuring up to 27 billion parameters. Aimed at fostering a transparent AI ecosystem, these models are designed for flexibility and security, allowing developers and researchers to explore generative AI while minimizing biases and misuse.
WSO2 has integrated AI into its entire software stack, enabling companies to create, manage, and secure intelligent digital products effortlessly. The new AI-native platform supports both low-code and pro-code development, facilitating the seamless incorporation of AI capabilities into applications, while enhancing productivity and reducing time-to-market.
Meta is implementing a new policy requiring advertisers to disclose the use of AI in political ads ahead of Canada’s federal elections. This initiative aims to enhance transparency and combat misinformation by ensuring voters are aware of any digital modifications to campaign content, fostering trust in the electoral process.
Meta’s Llama AI model has achieved a significant milestone, surpassing 1 billion downloads. This rapid growth underscores its increasing adoption in both research and commercial applications, despite facing challenges like copyright lawsuits and competition from rivals. Meta plans to invest heavily in AI, with new models on the horizon.
A recent Europol report highlights how organized crime is increasingly leveraging artificial intelligence to enhance their operations. The integration of AI facilitates a range of illicit activities, from drug trafficking to cybercrime, posing significant security challenges across the EU. This technological evolution makes crime more dangerous than ever.
The rapid adoption of AI in business is reshaping communication strategies, with 72% of companies now utilizing AI. Key benefits include enhanced customer experiences, personalized messaging, and improved operational efficiency. However, challenges like data security and employee resistance persist. Explore how to navigate this transformative journey effectively.
The integration of AI into business communication is transforming efficiency, personalization, and decision-making. With 72% of businesses adopting AI, tools like chatbots and generative AI are enhancing customer experiences and streamlining operations. As organizations navigate challenges, strategic implementation of AI offers significant competitive advantages in today’s market.
As AI tools increasingly generate application code, enterprises face new challenges in quality, compliance, and security. Experts emphasize the importance of understanding AI-generated code’s origins and implementing robust review processes to mitigate risks, ensuring that human judgment remains central to software development and governance.
Mercedes-Benz has unveiled the all-electric CLA, a technological marvel featuring advanced AI and the new Mercedes-Benz Operating System (MB.OS). With impressive range, quick charging, and luxurious design, the CLA redefines the electric car experience, promising efficiency and safety with cutting-edge features and a focus on driver interaction.
SentinelOne’s focus on AI-driven cybersecurity is not yet translating into significant revenue growth, despite a 27% increase in Q4 revenue guidance. Competitive pricing pressures and gradual customer adoption are key challenges. However, ongoing innovation and strategic partnerships position the company for long-term success in the cybersecurity market.
