The post UBS Names ASML (ASML) as Top Stock Pick Amid Bullish S&P 500 Outlook appeared on BitcoinEthereumNews.com.
Key Takeaways UBS elevated its year-end S&P 500 projection to 7,900 from 7,500, driven by robust earnings momentum and AI sector expansion The investment bank increased its 2026 earnings per share forecast for the S&P 500 to $335, reflecting 20% anticipated growth Roughly half of the earnings revision stems from semiconductor advances and memory chip price improvements ASML Holding received UBS’s designation as the premier stock selection in today’s elevated market conditions Potential disruption at the Strait of Hormuz represents the primary short-term threat to continued market gains UBS delivered an optimistic assessment of both the US equity market and a critical chip equipment manufacturer this week, highlighting accelerating earnings trajectories and expanding AI infrastructure investment as primary catalysts. The financial institution elevated its S&P 500 year-end v
Nvidia compensation concerns shake crypto markets as platforms like XRPPower highlight AI-driven risk management tools. Recently, news of Nvidia potentially facing a $100 billion compensation crisis has caused significant volatility in global financial and cryptocurrency markets. As one of the…
Pope Leo XIV called Monday for robust regulation of AI and for its developers to work for the common good rather than profit, issuing a sweeping manifesto on safeguarding humankind.
Chinese AI startup DeepSeek has announced a steep price cut for its recently launched flagship AI model, V4-Pro. The company has reduced pricing for the model by 75%, just a month after unveiling the V4 generation, which includes V4 Pro and V4 Flash.
Earlier, usage costs ranged from $0.0145 for one million tokens (cache hit) to $3.48 for one million output tokens. Following the revision, the V4 Pro will now cost starting at $0.003625 per million tokens and going up to $0.87 per million tokens, respectively. The Deepseek V4 Pro model API pricing will be officially adjusted to 1/4 of the original price after the 75% discount promotion ends on 2026/05/31 15:59 UTC, said the company.
“V4-Pro was engineered to cut the cost of long-context inference, reportedly running at roughly a quarter of the single-token compute and a tenth of the memory footprint of its predecessor at very long context. This is why the price cut is permanent rather than promotional. It is not a discount. It is an effic
Welcome to AI Insider’s The Week Ahead in AI. See the key developments and events we’re watching May 24- 30. Weekend AI News Briefs Pope Leo Will Take on AI Alongside an Anthropic Co-Founder Pope Leo XIV is set to release his first encyclical, Magnifica Humanitas, on May 25 focused on safeguarding human dignity in the […]
Influence360 today announced the launch of its platform, introducing a new infrastructure layer for Web3 influencer marketing built around trust, data, and global execution.
Chinese AI startup DeepSeek has announced a steep price cut for its recently launched flagship AI model, V4-Pro. The company has reduced pricing for the model by 75%, just a month after unveiling the V4 generation, which includes V4 Pro and V4 Flash.
Earlier, usage costs ranged from $0.0145 for one million tokens (cache hit) to $3.48 for one million output tokens. Following the revision, the V4 Pro will now cost starting at $0.003625 per million tokens and going up to $0.87 per million tokens, respectively. The Deepseek V4 Pro model API pricing will be officially adjusted to 1/4 of the original price after the 75% discount promotion ends on 2026/05/31 15:59 UTC, said the company.
“V4-Pro was engineered to cut the cost of long-context inference, reportedly running at roughly a quarter of the single-token compute and a tenth of the memory footprint of its predecessor at very long context. This is why the price cut is permanent rather than promotional. It is not a discount. It is an effic
Hackers secretly targeted crypto and AI developers using TrapDoor malware, stealing wallets, credentials, SSH keys, and sensitive company network access data. A sneaky cyberattack is targeting software developers. Specifically, it is dedicated to individuals who are involved in cryptocurrency and AI. The attack was discovered on Friday by a company called Socket. They then published […]
The post Hackers Secretly Target Crypto Developers With Dangerous TrapDoor Malware appeared first on Live Bitcoin News.
Robots could well be the next trillion-dollar tech opportunity, in no small part thanks to AI. Not surprisingly, that’s led to race by a variety of robotics companies to build industrial and humanoid robots to help (or replace) humans.
And to help orient those devices visually in the real world, robot brains are being fed Youtube videos. The idea is to help them understand the environment in which they would work and to spur physical AI.
Kate Shen, co-founder of startup Anaxi Labs, is following a different approach to training robot brains. She is crowdsourcing and supplying videos of people performing tasks, which she then shares with robotics makers.
Human-scale video, she argues, is critical to train robots because it more accurately captures how robots should perform their tasks, depending on the circumstances around them. More broadly, the technique can also provide a clearer roadmap for physical AI.
With that in mind, Computerworld spoke recently with Shen about Anaxi Labs’ phys