AI News

Follow the latest AI and automation news

4 Jun 202619 Dhuʻl-Hijjah 1447 AH

Amazon brings AI shopping assistant to retailers with Kate Spade

Amazon has launched its smart shopping technology for other retailers through a new AI shopping assistant built on AWS, with Kate Spade being one of the first brands to adopt it. The service allows stores to create smart shopping assistants for their websites and apps, customizing each deployment to fit their catalog and customer base. Last year, over 300 million customers used the smart shopping assistant, contributing to an estimated additional $12 billion in sales.

Agents

4 Jun 202619 Dhuʻl-Hijjah 1447 AH

Amazon develops a warehouse robot workers can speak to

Amazon has announced a new version of its warehouse robot, Proteus, which can interact using natural language instead of code. This update is part of the company's shift towards automation, where robots are replacing human workers. Employees can now direct the robots through verbal commands, simplifying the workflow compared to previous specialized software. Amazon continues to enhance its robots' capabilities, with Proteus designed to transport heavy items within warehouses. The new language interaction allows employees to guide the robots as if speaking to colleagues, marking a significant change in logistics management.

Models

4 Jun 202619 Dhuʻl-Hijjah 1447 AH

Dreaming: Better memory for a more helpful ChatGPT

ChatGPT has announced the launch of a new memory system designed to enhance user preference recall. This intelligent system will maintain and update context continuously during conversations, improving user experience. The development aims to provide more personalized and relevant interactions. The new system stores important information about user preferences, allowing the AI to deliver more accurate and tailored responses. This update is part of ChatGPT's ongoing efforts to enhance human-machine interaction, aiming for a smoother and more effective user experience.

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xAI updates Grok Imagine to 1.5 with image-to-video generation at 720p resolution

What impact could this model have on the visual content industry?

Business

Foxconn and Intel Collaborate on AI Infrastructure Development

4 Jun 202619 Dhuʻl-Hijjah 1447 AH

Business

4 Jun 202619 Dhuʻl-Hijjah 1447 AH

Foxconn and Intel Collaborate on AI Infrastructure Development

Foxconn announced its collaboration with Intel to develop the next generation of AI infrastructure. This partnership aims to combine Intel's chip technology with Foxconn's manufacturing expertise to deliver integrated digital infrastructure solutions. The companies seek to unify their capabilities in system design and global supply chains, enabling advanced solutions in the rapidly growing AI sector. Their plans include working on AI data center equipment, focusing on Intel Xeon-based server units.

Business

Meta Delays API Release for Muse Spark AI Model

4 Jun 202619 Dhuʻl-Hijjah 1447 AH

Business

4 Jun 202619 Dhuʻl-Hijjah 1447 AH

Meta Delays API Release for Muse Spark AI Model

Meta has postponed its plans to release the API for its new AI model, Muse Spark, with no scheduled launch date yet. A spokesperson confirmed that testing is underway with select partners, with hopes to release it publicly this month. Muse Spark is the first model developed to bridge the technological gap with competitors, first revealed in April. This model is part of a new series of advanced AI models aimed at enhancing Meta's capabilities in the AI market.

Arab AI Scene

Efham.ai secures investment from Foras.AI to democratise AI learning in Arabic

4 Jun 202619 Dhuʻl-Hijjah 1447 AH

Arab AI Scene

4 Jun 202619 Dhuʻl-Hijjah 1447 AH

Efham.ai secures investment from Foras.AI to democratise AI learning in Arabic

Foras.AI has invested in Efham.ai, an AI education platform by Egypt's NixAI, aimed at creating the first Arabic community for AI learning. Efham.ai plans to launch over 100 AI training lessons by Q3 2026, targeting learners in Egypt, Saudi Arabia, the UAE, Kuwait, and Jordan. The platform simplifies technical concepts using Egyptian colloquial Arabic, enabling users to apply AI tools in content creation, product development, and entrepreneurship.

Business

TSMC Bets on AI Growth with Potential Price Increases

4 Jun 202619 Dhuʻl-Hijjah 1447 AH

Business

4 Jun 202619 Dhuʻl-Hijjah 1447 AH

TSMC Bets on AI Growth with Potential Price Increases

TSMC, the world's largest semiconductor manufacturer, is banking on the ongoing AI boom to drive its growth. CEO C.C. Wei hinted at potential price increases for chips due to rising demand for advanced computing capabilities driven by AI applications. Wei noted that clients remain optimistic about AI's future, despite the rising costs of components. He emphasized that TSMC focuses on sustainable long-term operations, considering price hikes to achieve profitability but avoiding sudden increases.

Models

USTC Open-Sources Agent-Driven Long-Context Training Paradigm: 30B Matches Qwen3-235B

4 Jun 202619 Dhuʻl-Hijjah 1447 AH

Models

4 Jun 202619 Dhuʻl-Hijjah 1447 AH

USTC Open-Sources Agent-Driven Long-Context Training Paradigm: 30B Matches Qwen3-235B

Researchers at the University of Science and Technology of China have released a novel agent-driven training paradigm for long-context models. This 30-billion-parameter model matches the performance of Alibaba's Qwen3-235B, which is nearly eight times larger. The key innovation lies in utilizing AI agent trajectories for data collection, addressing the limitations of traditional methods.

Agents

Chinese Embodied AI Company Tops RoboArena Benchmark, Beating NVIDIA and Physical Intelligence

4 Jun 202619 Dhuʻl-Hijjah 1447 AH

Agents

4 Jun 202619 Dhuʻl-Hijjah 1447 AH

Chinese Embodied AI Company Tops RoboArena Benchmark, Beating NVIDIA and Physical Intelligence

A Chinese company specializing in embodied AI has topped the RoboArena ranking, known for its difficulty in cheating. This achievement was announced at the NVIDIA GTC Taipei 2026 conference, where the company outperformed industry giants like NVIDIA and Physical Intelligence. RoboArena tests embodied AI systems through various real-world tasks, reflecting actual performance in unstructured environments. RoboArena's methodology features random environmental conditions and opposing challenges, establishing it as a reliable benchmark.