Advertising promoting ByteDance's cloud and AI service platform Volcano Engine and chatbot Doubao hangs at the Beijing Capital International Airport in Beijing on Feb. 5. | AFP-JIJI Beijing - After soaring to global attention with its hugely popular TikTok app, Chinese tech giant ByteDance is now positioning itself as a major player in the fast-evolving AI arena. While the Beijing-based company has been embroiled in a range of legal and privacy rows linked to the social media app for years, its team has been busy branching out developing new cutting-edge products. Among them is China's most popular artificial intelligence chatbot, Doubao, which has built up more than 100 million daily users since its inception in 2023. In a time of both misinformation and too much information, quality journalism is more crucial than ever. By subscribing, you can help us get the story right.

Expert imitation, behavioral diversity, and fairness preferences give rise to preferences in sequential decision making domains that do not decompose additively across time. We introduce the class of convex Markov games that allow general convex preferences over occupancy measures. Despite infinite time horizon and strictly higher generality than Markov games, pure strategy Nash equilibria exist under strict convexity. Furthermore, equilibria can be approximated efficiently by performing gradient descent on an upper bound of exploitability. Our experiments imitate human choices in ultimatum games, reveal novel solutions to the repeated prisoner's dilemma, and find fair solutions in a repeated asymmetric coordination game. In the prisoner's dilemma, our algorithm finds a policy profile that deviates from observed human play only slightly, yet achieves higher per-player utility while also being three orders of magnitude less exploitable.

Extremists across the US have weaponized artificial intelligence tools to help them spread hate speech more efficiently, recruit new members, and radicalize online supporters at an unprecedented speed and scale, according to a new report from the Middle East Media Research Institute (MEMRI), an American non-profit press monitoring organization. The report found that AI-generated content is now a mainstay of extremists' output: They are developing their own extremist-infused AI models, and are already experimenting with novel ways to leverage the technology, including producing blueprints for 3D weapons and recipes for making bombs. Researchers at the Domestic Terrorism Threat Monitor, a group within the institute which specifically tracks US-based extremists, lay out in stark detail the scale and scope of the use of AI among domestic actors, including neo-Nazis, white supremacists, and anti-government extremists. "There initially was a bit of hesitation around this technology and we saw a lot of debate and discussion among [extremists] online about whether this technology could be used for their purposes," Simon Purdue, director of the Domestic Terrorism Threat Monitor at MEMRI, told reporters in a briefing earlier this week. "In the last few years we've gone from seeing occasional AI content to AI being a significant portion of hateful propaganda content online, particularly when it comes to video and visual propaganda. So as this technology develops, we'll see extremists use it more."

Welcome to Part 3 of the series. Part 1 covers Tesla's manufacturing advantage. Part 2 covers Tesla's energy business. In this article, I will give my assessment of Tesla's Artificial Intelligence efforts and my take on its bottom line. These are just my opinions.

How can machine learning really transform your approach to email marketing? Square's Anna Bowles told the Email Insider Summit how ML can predict the best time of day to send an email for every individual customer. By using these predictive models that learn from user behavior, the company is realizing enormous efficiencies and turning waste into more effective and new email inventory. She reminded the attendees that ML still needs to be aimed at company goals and ultimately be driven by the messages that we mere mortals alone can fashion. Find the rest of this session, and more, at our Email Insider Summit Agenda Page.

Intel's (NASDAQ:INTC) data-center chief, Diane Bryant, recently presented at an investor conference. During the conference, Bryant went into quite some detail on the company's strategy to participate in the small but fast-growing field of artificial intelligence, or AI for short. Let's take a closer look at what the Intel executive had to say. Analyst Blayne Curtis said that "people don't sort of think of Intel as a play on AI." After giving a brief history of AI, Bryant explained that the whole point of artificial intelligence is to be able to gather "large amounts of data" and then applying "ever-more sophisticated algorithms" to ultimately give computers the ability to "both learn and predict."

Google CEO Sundar Pichai talks about the Google Assistant, which will power the company's new line of smartphones and a voice-activated speaker. Google CEO Sundar Pichai talks about the Google Assistant, which will power the company's new line of smartphones and a voice-activated speaker. Google's products are everywhere: maps, Gmail, the Chrome browser, the Chromecast video/audio system, the Android mobile operating system, YouTube, Waze. But the company has been far less successful at selling things rather than software. Earlier this year, Google scrapped the project to build a modular phone; its Nexus phones and tablets are laggards of the industry; and we'll never forget the crash-and-burn of Google Glass.