Automation

Discover how Apple researchers have made significant advances in multimodal AI technology, aiming to catch up with rivals Google, Microsoft, and Amazon. By combining different types of training data and model architectures, Apple's researchers have achieved state-of-the-art performance in AI benchmarks. Learn about the breakthroughs in training large language models on text and images, the importance of scaling visual components, and the potential for large multimodal models to tackle complex problems. With a billion per year investment in AI development, Apple is on track to integrate generative AI capabilities into its products, including Siri, Messages, and Apple Music. Find out how Apple plans to stay competitive in the rapidly evolving AI landscape and what advancements can be expected at the Worldwide Developers Conference.

Introducing Claude 3 Haiku: An Affordable and Efficient AI Model - Anthropic's latest addition to the Claude 3 family offers advanced vision capabilities, exceptional speed, and affordability. Tailored for high-volume, latency-sensitive applications, Haiku processes 21,000 tokens per second, making it ideal for businesses with critical response time needs. With its advanced vision capabilities and enterprise-grade security, Haiku sets new benchmarks for AI performance. Available now through Anthropic's API and soon on Amazon Bedrock and Google Cloud Vertex AI.

Discover the groundbreaking collaboration between OpenAI and Figure, resulting in the development of a versatile humanoid robot, the Figure 01. With the ability to serve food, clean up trash, and more, this prototype showcases impressive capabilities. Integrated with OpenAI's advanced visual reasoning and language understanding technology, the robot interacts naturally with humans and its environment. This achievement sets a new standard in the field of humanoid robotics, putting pressure on competitors and revolutionizing various industries. Explore the potential of this technology and the future of robotics.

Discover how Microsoft's new generative AI-powered platform, Copilot for Security, is revolutionizing the fight against cyber threats. With a shortage of skilled security personnel and an increase in cyberattacks, this platform offers a centralized view of AI-powered cybersecurity insights and automates time-consuming tasks. Learn how Microsoft's commitment to responsible AI development ensures ethical and effective use of the platform. Find out how tools like Copilot for Security could reshape the cybersecurity landscape and provide a more secure future.

Discover how Proscia, a leading provider of digital pathology software, secured million in funding to drive the adoption of AI-driven pathology. With FDA clearance and partnerships with top pharmaceutical companies, Proscia's platform is revolutionizing disease diagnosis and treatment. Find out how their open platform approach and AI applications are transforming the pathology field and improving patient outcomes.

Looking for a scalable CRM solution for your small or medium-sized business? Discover Salesforce's new Pro Suite, offering advanced features and customization options to help you streamline your business workflows and drive growth. With its user-friendly experience and competitive pricing, Salesforce is positioning itself as a long-term partner for SMBs in the CRM market. Learn more about the Pro Suite and its future AI capabilities in this article.

Discover Cohere's latest language model, Command-R, designed to handle large-scale production workloads across various languages. With improved performance in retrieval augmented generation tasks and more affordable pricing, Command-R outperforms leading models in the market. Learn how Cohere's strategic partnerships with major companies have proven the effectiveness of their models for enterprise use cases. As Cohere seeks additional funding, Command-R positions the Toronto-based startup as a top player in the field of artificial intelligence.

Discover how researchers at Stanford University and Google DeepMind have developed a new robot control model called RT-Sketch that uses sketches as instructions to enhance the understanding and execution of tasks. This model surpasses language and image models in situations where they fall short, providing rich spatial information without the clutter of realistic images or ambiguity of natural language instructions. Learn how RT-Sketch performs on par with other models in most scenarios and opens up exciting possibilities for spatial tasks and long-horizon tasks. Find out how sketches can convey even more information and enhance the capabilities of robots in this groundbreaking advancement.

Discover the significant cultural bias present in large language models (LLMs) according to a study by researchers at the Georgia Institute of Technology. The study reveals that LLMs demonstrate a bias towards Western culture, even when prompted in Arabic or trained solely on Arabic data. This bias raises concerns about cultural fairness and appropriateness of AI systems globally. The study also highlights how LLMs perpetuate stereotypes and perform worse for individuals from non-Western cultures. Learn about CAMeL, a benchmark dataset introduced to measure cultural biases in LLMs, and explore potential solutions for reducing bias. Collaboration between researchers, AI developers, and policymakers is key to addressing these challenges and promoting inclusive digital experiences worldwide.