Category: AI News

[ad_1] In the race to bring artificial intelligence into the enterprise, a small but well-funded startup is making a bold claim: The problem holding back AI adoption in complex industries has never been the models themselves. Contextual AI, a two-and-a-half-year-old company backed by investors including Bezos Expeditions and Bain Capital Ventures, on Monday unveiled Agent…

[ad_1] Big retailers are committing more heavily to agentic AI-led commerce, and accepting some loss of customer proximity and data control in the process. As reported by Retail Dive, the opening weeks of 2026 have seen Etsy, Target and Walmart push product ranges onto third-party AI platforms, forming new partnerships with Google’s Gemini and Microsoft’s…

[ad_1] For decades, predicting the weather has been the exclusive domain of massive government supercomputers running complex physics-based equations. NVIDIA has shattered that barrier with the release of the Earth-2 family of open models and tools for AI weather and climate prediction accessible to virtually anyone, from tech startups to national meteorological agencies. In a…

[ad_1] The industry consensus is that 2026 will be the year of "agentic AI." We are rapidly moving past chatbots that simply summarize text. We are entering the era of autonomous agents that execute tasks. We expect them to book flights, diagnose system outages, manage cloud infrastructure and personalize media streams in real-time. As a…

[ad_1] Cyber threats don’t follow predictable patterns, forcing security teams to rethink how protection works at scale. Defensive AI is emerging as a practical response, combining machine learning with human oversight. Cybersecurity rarely fails because teams lack tools. It fails because threats move faster than detection can keep pace. As digital systems expand, attackers adapt…

[ad_1] def visualize_results(df, priority_scores, feature_importance): fig, axes = plt.subplots(2, 3, figsize=(18, 10)) fig.suptitle(‘Vulnerability Scanner – ML Analysis Dashboard’, fontsize=16, fontweight=”bold”) axes[0, 0].hist(priority_scores, bins=30, color=”crimson”, alpha=0.7, edgecolor=”black”) axes[0, 0].set_xlabel(‘Priority Score’) axes[0, 0].set_ylabel(‘Frequency’) axes[0, 0].set_title(‘Priority Score Distribution’) axes[0, 0].axvline(np.percentile(priority_scores, 75), color=”orange”, linestyle=”–“, label=”75th percentile”) axes[0, 0].legend() axes[0, 1].scatter(df[‘cvss_score’], priority_scores, alpha=0.6, c=priority_scores, cmap=’RdYlGn_r’, s=50) axes[0, 1].set_xlabel(‘CVSS Score’) axes[0,…

[ad_1] Claude Cowork is now available to more Claude users, alongside new updates aimed at team workflows. Anthropic made Claude Cowork accessible to users on Team and Enterprise plans, and it brings the platform closer to being a collaborative AI infrastructure. For enterprise teams, the change matters less as a feature update than as a shift…

[ad_1] Anthropic’s Economic Index offers a look at how organisations and individuals are actually using large language models. The report contains the company’s analysis of a million consumer interactions on Claude.ai, plus a million enterprise API calls, all dated from November 2025. The report notes that its figures are based on observations, rather than, for…

[ad_1] Alibaba Cloud’s Qwen team has open-sourced Qwen3-TTS, a family of multilingual text-to-speech models that target three core tasks in one stack, voice clone, voice design, and high quality speech generation. https://arxiv.org/pdf/2601.15621v1 Model family and capabilities Qwen3-TTS uses a 12Hz speech tokenizer and 2 language model sizes, 0.6B and 1.7B, packaged into 3 main tasks.…