AI News

Follow the latest AI and automation news

25 Aug 202613 Rabiʻ I 1448 AH

MIT AI forecasts extreme weather without historical data

Engineers at MIT have developed an AI tool that forecasts extreme weather without relying on historical data. Graduate student Kai Chang and Professor Themis Sapsis created this tool, which produces maps of events not recorded in a region's historical data. The tool, named η-learning, uses an algorithm that combines point statistics with spatial maps to estimate the intensity and duration of potential events. Details of this method were published on August 20 in Nature Communications, highlighting the limitations of existing models that rely on past data.

Models

25 Aug 202613 Rabiʻ I 1448 AH

Apple Unveils M6 and M5 Ultra Chips to Enhance Mac Performance

Apple has unveiled the M6 and M5 Ultra chips, enhancing Mac performance for running AI applications. The M6 features a 2-nanometer manufacturing process, a first for Apple, while the M5 Ultra utilizes a quad-chip architecture through the new UltraFusion technology. The M6 chip represents a significant advancement in manufacturing, allowing for improved performance and efficiency in data processing. Meanwhile, the M5 Ultra provides advanced chip integration capabilities, enhancing the performance of complex applications and enabling smoother operation.

Governance

25 Aug 202613 Rabiʻ I 1448 AH

Norway to Tighten Regulations on Smart Glasses to Protect Privacy

Norway announced plans to tighten regulations on smart glasses, including a potential ban on facial recognition features in public spaces. Digitalization Minister Kjersti Torngren stated that an expert team will be formed to recommend ways to protect consumers from AI technologies. Smart glasses allow users to take photos and videos, raising privacy concerns. Torngren warned against using these devices for surveillance, emphasizing the need for guidelines in both public and private sectors.

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e& bundles Microsoft Copilot into fibre plans

How might the Business Pro AI package impact small business growth?

Models

OpenAI’s Jalapeño chip is built for fast inference at scale, benchmarks show

25 Aug 202613 Rabiʻ I 1448 AH

Models

25 Aug 202613 Rabiʻ I 1448 AH

OpenAI’s Jalapeño chip is built for fast inference at scale, benchmarks show

Jalapeño demonstrated exceptional performance when tested on the InferenceX benchmark, achieving a higher number of tokens per user than currently leading models. These results are significant in the context of improving the efficiency of language models, as Jalapeño shows a greater ability to process data while consuming less energy, reflecting a notable advancement in technology. This development enhances Jalapeño's position in the market, enabling executives to make strategic decisions based on accurate data regarding the efficiency of new models in various work environments.

Models

Apple unveils M6 chip, next-gen Mac mini expanding performance and AI capabilities

25 Aug 202613 Rabiʻ I 1448 AH

Models

25 Aug 202613 Rabiʻ I 1448 AH

Apple unveils M6 chip, next-gen Mac mini expanding performance and AI capabilities

Apple has announced its new M6 and M5 Ultra chips, enhancing performance and AI capabilities in its desktop portfolio. The M6 chip, the first to utilize a 2-nanometer process, features a 12-core CPU and a Dual 16-core Neural Engine, delivering faster AI processing. This new chip is expected to support a wide range of users, from students to enterprises, with significant improvements in energy efficiency.

Models

OpenAI says its Jalapeño chip can power faster AI responses than the competition

25 Aug 202613 Rabiʻ I 1448 AH

Models

25 Aug 202613 Rabiʻ I 1448 AH

OpenAI says its Jalapeño chip can power faster AI responses than the competition

OpenAI has announced its new chip, Jalapeño, which achieves higher efficiency and faster response times for AI systems. During a press briefing, Richard Ho, Vice President of Hardware, stated that the chip offers the "best of both worlds" with lower latency and increased throughput. First introduced in June, Jalapeño is an Application-Specific Integrated Circuit (ASIC) developed in partnership with Broadcom. It is specifically designed for AI inference, meaning it supports running trained AI models.

Models

Accelerated Understanding Develops AI Model for Physical Phenomena Simulation

25 Aug 202613 Rabiʻ I 1448 AH

Models

25 Aug 202613 Rabiʻ I 1448 AH

Accelerated Understanding Develops AI Model for Physical Phenomena Simulation

Accelerated Understanding has announced the development of an AI model focused on understanding and simulating physical phenomena. The new model can handle 5 trillion pieces of information in a single request, surpassing the capacity of leading models. Unlike ChatGPT, this system emphasizes predicting physical phenomena rather than language comprehension.

Agents

Meta's paid AI agent Hatch launches soon, with a new model called Watermelon due in October

25 Aug 202613 Rabiʻ I 1448 AH

Agents

25 Aug 202613 Rabiʻ I 1448 AH

Meta's paid AI agent Hatch launches soon, with a new model called Watermelon due in October

Meta Platforms has announced the upcoming launch of its AI agent Hatch in the coming weeks, alongside a new model named Watermelon set for release in October. This launch is part of Meta's efforts to enhance its capabilities in artificial intelligence, with Hatch being a paid agent aimed at improving user interaction. The Watermelon model also represents a new step in the development of the company's AI models.

Agents

Accel-backed Keenable is indexing the web for AI agents

25 Aug 202613 Rabiʻ I 1448 AH

Agents

25 Aug 202613 Rabiʻ I 1448 AH

Accel-backed Keenable is indexing the web for AI agents

Keenable has announced its exit from stealth mode after raising $26 million in a seed funding round. The company aims to build a vast web search index tailored for AI agents, enhancing their capabilities. This development highlights the growing demand for intelligent solutions across various sectors. The funding will be utilized to expand Keenable's search index, enabling AI agents to access more accurate and comprehensive information. This index will be crucial in improving agent performance, making them more efficient in meeting user needs. This step is essential amid increasing competition in the AI market.