Category: AI News

[ad_1] In Google’s sleek Singapore office at Block 80, Level 3, Mark Johnston stood before a room of technology journalists at 1:30 PM with a startling admission: after five decades of cybersecurity evolution, defenders are still losing the war. “In 69% of incidents in Japan and Asia Pacific, organisations were notified of their own breaches…

[ad_1] Introduction When you’re working with AI and natural language processing, you’ll quickly encounter two fundamental concepts that often get confused: tokenization and chunking. While both involve breaking down text into smaller pieces, they serve completely different purposes and work at different scales. If you’re building AI applications, understanding these differences isn’t just academic—it’s crucial…

[ad_1] Want smarter insights in your inbox? Sign up for our weekly newsletters to get only what matters to enterprise AI, data, and security leaders. Subscribe Now “With volatility now the norm, security and risk leaders need practical guidance on managing existing spending and new budgetary necessities,” states Forrester’s 2026 Budget Planning Guide, revealing a…

[ad_1] The vast majority (92%) of marketing professionals are using AI in their day-to-day operations, turning it from a buzzword into a workhorse. According to SAP Emarsys – which took the pulse of over 10,000 consumers and 1,250 marketers – while businesses are seeing real benefits from AI, shoppers are becoming increasingly distrustful, especially when…

[ad_1] The year 2025 marks a turning point for Voice AI Agents, with technology reaching levels of naturalness, context-awareness, and commercial adoption that were unimaginable a decade ago. Powered by massive advances in speech recognition, natural language understanding, and multimodal integration, Voice AI is no longer limited to command-and-query systems—it is rapidly becoming a central…

[ad_1] Want smarter insights in your inbox? Sign up for our weekly newsletters to get only what matters to enterprise AI, data, and security leaders. Subscribe Now OpenAI adds to an increasingly competitive AI voice market for enterprises with its new model, gpt-realtime, that follows complex instructions and with voices “that sound more natural and…

[ad_1] NVIDIA researchers have shattered the longstanding efficiency hurdle in large language model (LLM) inference, releasing Jet-Nemotron—a family of models (2B and 4B) that delivers up to 53.6× higher generation throughput than leading full-attention LLMs while matching, or even surpassing, their accuracy. Most importantly, this breakthrough isn’t the result of a new pre-training run from…

[ad_1] Want smarter insights in your inbox? Sign up for our weekly newsletters to get only what matters to enterprise AI, data, and security leaders. Subscribe Now When OpenAI launched GPT-5 about two weeks ago, CEO Sam Altman promised it would be the company’s “smartest, fastest, most useful model yet.” Instead, the launch triggered one…

[ad_1] When AI data centres run out of space, they face a costly dilemma: build bigger facilities or find ways to make multiple locations work together seamlessly. NVIDIA’s latest Spectrum-XGS Ethernet technology promises to solve this challenge by connecting AI data centres across vast distances into what the company calls “giga-scale AI super-factories.”  Announced ahead of…

[ad_1] Both GPUs and TPUs play crucial roles in accelerating the training of large transformer models, but their core architectures, performance profiles, and ecosystem compatibility lead to significant differences in use case, speed, and flexibility. Architecture and Hardware Fundamentals TPUs are custom ASICs (Application-Specific Integrated Circuits) engineered by Google, purpose-built for highly efficient matrix operations…