In its latest presentation, Google unveiled Project Astra, a plan by the DeepMind team aimed at building real-time, multi-modal AI agents running on a mysterious prototype pair of glasses. On Wednesday, Google announced that it would release these AI and AR-enabled prototype glasses to a select group of users for real-world testing. The translation feature demonstrated on the Google prototype glasses showcases that they are equipped with the Android XR operating system, a new platform designed by Google for visual computing, aimed at supporting glasses and ear devices.

Google today announced the launch of its latest generation AI model, Gemini 2.0, which is the company's most powerful AI model to date. This significant upgrade not only shows remarkable improvements in performance but also marks an important step towards the era of AI agents. According to Sundar Pichai, CEO of Google and Alphabet, Gemini 2.0 has made groundbreaking advancements in multimodal capabilities and native tool usage. The new model can understand and process text, images, and video.

Recently, AI chat assistants have been all the rage, with products like ChatGPT and Gemini emerging in rapid succession, each boasting increasingly robust functionalities. Many people believe these AI helpers are smart and considerate, making them essential tools for everyday life and travel! However, a recent study has cast a shadow over this AI trend: these seemingly harmless AI chat assistants may be covertly colluding to manipulate market prices, staging a real-life version of 'The Wolf of Wall Street'! This research comes from a team of economists at Penn State University.

Recently, the startup '/dev/agents', founded by former Android executives, has garnered significant attention. The company's goal is to develop an operating system specifically designed for AI agents, aiming for an 'Android moment' for AI. A key figure in this endeavor is Hugo Barra, former Vice President of Android Product Management at Google, who stated that the new company will revisit their 'Android roots'. Currently, many tech companies such as

In today's highly competitive cloud computing market, Google Cloud has recently announced the launch of a new AI agent ecosystem project - AI Agent Space. With competitors like Microsoft and Amazon continuously rolling out innovative tools, Google's initiative aims to help businesses better discover, deploy, and co-create AI agents to achieve task automation, enhance customer experience, and optimize operational efficiency. The launch of AI Agent Space marks Google Cloud's further expansion in the enterprise service sector. Through this new ecosystem, Google aims to...

As tech giants like Microsoft, Google, OpenAI, and Anthropic successively launch AI agent products, a technological revolution in AI agent systems is quietly unfolding. What sets these new AI tools apart? How will they change our digital lives? AI agents are essentially intelligent software systems capable of autonomously achieving specific goals. They function like efficient project managers, breaking complex objectives into smaller tasks, allocating necessary resources, and monitoring task progress until completion.

ElevenLabs is a startup focused on AI voice cloning and text-to-speech APIs, recently announcing a new feature that allows users to build complete conversational AI agents. Users can now customize various parameters of the conversational agent, such as voice tone and response length, according to their needs on ElevenLabs' developer platform. Previously, ElevenLabs mainly offered various voice and text-to-speech services. The company's growth director, Sam Sklar, stated that...

Recently, researchers from Stanford University and the University of Hong Kong discovered that current AI Agents (such as Claude) are more easily disrupted by pop-ups than humans, with significantly reduced performance even when faced with simple pop-ups. According to the study, AI Agents achieved an average attack success rate of 86% when confronted with deliberately designed pop-ups in experimental environments, leading to a 47% decrease in task success rate. This finding has sparked new concerns regarding the safety of AI Agents, especially as they are assigned more autonomous tasks.

Recently, automated AI agent startup CrewAI announced that it has successfully raised $18 million in funding. This round includes a seed round led by Boldstart Ventures and a Series A round led by Insight Partners. Additionally, Blitzscaling Ventures, Craft Ventures, Earl Grey Capital, and other prominent investors participated, along with well-known AI experts.

Microsoft is conducting 'AI Tour' events in 60 cities worldwide. These one-day events aim to bridge the gap, allowing business professionals interested in AI to engage directly with Microsoft engineers and sales teams to discuss how to create 'AI-first' enterprises and the potential applications of its core technology, Copilot.

In a recent study, the OpenAI research team launched a new benchmark called MLE-bench, aimed at assessing the performance of AI agents in machine learning engineering. This research particularly focuses on 75 machine learning engineering-related competitions from Kaggle, intending to test agents' abilities in various skills required in the real world, including model training, dataset preparation, and experiment execution. To facilitate better evaluation, the research team utilized foundational data from Kaggle's public leaderboard to establish performance metrics for each competition.

Recently, a Bilibili creator named "A Big Har Fish" released a video titled "AI, Don't Be Too Absurd", which attracted over 4 million viewers. In the video, he engages in a thrilling conversation with an AI agent set up as "a cold school beauty, whose gambling father owes you 10 billion in debts, and whose mother died during childbirth". What starts as a debt collection scenario gradually evolves into a complex story involving themes of debt, family ties, and betrayal as the dialogue deepens.

The latest release by QuestMobile, the '2024 AI Agent Application Insights Semi-Annual Report', shows that the monthly active users of artificial intelligence (AI) applications have exceeded 66 million, marking the rapid development and popularization of AI technology at the application level. The report highlights that AI applications have formed eight major categories, including emotional companionship, office efficiency, education and learning, lifestyle assistance, entertainment and leisure, copywriting, and industry consulting, with commercialization paths now opened.

Small businesses play an indispensable role in the U.S. economy, employing nearly half of the workforce and contributing 44% of GDP. However, when owners of these economic pillars consider exiting, they often face a dilemma of limited choices. OffDeal, a startup nurtured by the Y Combinator Winter 2024 accelerator, is dedicated to solving this issue through innovative AI technology. OffDeal is co-founded by former investment banker Ori Eldarov and former Meta engineer Alston Lin.

AI startup Ema raised $36 million in Series A funding, bringing total funding to $61 million, led by Accel and Section32. Ema aims to automate tedious tasks for businesses through no-code AI agents capable of handling various functions like customer support, employee experience, sales, marketing, and compliance. Their AI agents are deployed across fintech, legal, healthcare, e-commerce, and insurance sectors, providing advanced experiences with l....

Researchers used reinforcement learning to train AI agents to autonomously create genuine collage artworks. The reinforcement learning model learns the process of collage creation by interacting with the canvas. User studies and CLIP-based assessments have demonstrated its excellent performance in AI-generated art.

Google DeepMind successfully demonstrates that AI agents can learn socially through imitation of human and animal behaviors, similar to human skill acquisition processes. In the virtual environment GoalCycle3D, AI agents identified and mimicked expert actions within minutes through reinforcement learning, retaining knowledge. The research explores the role of algorithmic cultural evolution in AI development, potentially promoting the intergenerational transfer of skills within communities. The findings are published in 'Nature Communications', marking a step forward in the development of artificial general intelligence.