Are Humanoid Robots Ready to Be Deployed? Neo and a dozen other robots with human forms are scheduled to hit the market. "The same robot that can land a backflip might not be able to walk up a flight of stairs," a researcher said. On a recent sunny day in Silicon Valley, I visited the industrial headquarters of 1X Technologies. Security was tight, so I had to put a sticker over my cellphone's camera and talk my way out of signing an N.D.A. before I was brought into an enormous space to meet Neo, the company's home robot. Neo stands five feet six and has no facial features except for two black cameras in place of eyes. The robot is a humanoid--its design is inspired by the human form--and its proportions are a blend of those of the median American male and those of the median American female. But Neo has no skin. Instead, it wears a beige nylon turtleneck bodysuit, gloves, and padded shoes over a see-through carapace. Under that is a skeleton made up of more than a hundred whizzing motors and cordlike artificial tendons that control Neo's limbs. Neo's cozy, minimalist aesthetic allows it to blend into the background. If it served me an espresso at a café, I'm not certain I would look up from my phone. The robot weighs just sixty-six pounds, and I was able to pick it up in a bridal carry. It communicates through a speaker in its chest, using several different voices; the default one is in a calm but authoritative masculine register, an A.I.-modulated mixture of several voice actors. Neo can talk, listen, and respond to commands.

Is the war entering a new phase? Russia-Ukraine war: Why has Putin rejected limits on long-range strikes? Russian President Vladimir Putin says Moscow will continue its more than four-year-long war on Ukraine, rejecting Kyiv's proposals to limit the use of long-range missiles and stop hostilities. In an interview with Russia's state television service on Sunday, Putin said Ukraine had proposed a mutual halt to long-range attacks as a step towards peace. But the Russian president suggested this proposal was made because Kyiv's forces were under pressure along the 1,250km (775-mile) front line.

This year, RoboCup will be held in Incheon, South Korea, from 2-6 July. The event will see teams take part in competitions, training sessions, and a symposium. It's an exciting time for RoboCup, as there have been some updates to the leagues and competition format . Most prominently, the soccer leagues will have a primary focus on humanoid robots. A workshop focused on sharing projects, experiences, and innovations in educational robotics.

Follow this section to personalize your feed and get instant alerts. Follow Go to your personalized feed WHY FOLLOW? Smart Alerts: Get notified about major news as it happens. Follow this tag to personalize your feed and get instant alerts. Follow Go to your personalized feed WHY FOLLOW?

South Korea has laid out a sweeping industrial strategy focused on semiconductor chips and artificial intelligence projects as President Lee Jae Myung pledges to cement overwhelming industry leadership with investments of hundreds of billions of dollars over several years. Flanked by the heads of the world's two biggest memory chipmakers, Lee cast the initiative on Monday as a "great leap forward" centred on the "triple axis" of semiconductors, physical AI and data centres. The world's two largest memory chipmakers, Samsung Electronics and SK Hynix, will invest 800 trillion won ($518bn) with suppliers to build two new chip fabrication sites each in South Korea's southwest, Industry Minister Kim Jung-kwan said. Lee said the country's southwestern city of Gwangju and South Jeolla province will also invest 5 trillion to 20 trillion won ($3.2bn to $13bn) in the projects. Kim said a further 81 trillion won ($52.5bn) is expected to be invested for a chip-packaging cluster in the Chungcheong area near Seoul.

Draft guidelines list expressways and some shinkansen lines as key areas of focus for infrastructure development. The government plans to stop putting too much focus on cost effectiveness when assessing the feasibility of public works projects, sources said Monday. The government will shift its focus to an overall assessment that places an emphasis on basic functions to protect lives and livelihoods, under annual guidelines for economic and fiscal reform policy, due out next month. Draft guidelines list expressways, some shinkansen lines and the planned Chuo Shinkansen high-speed magnetic levitation train line as key areas of focus for infrastructure development. The government will accelerate its push to build what are known as autoflow roads, or dedicated road lanes used by automated vehicles to transport goods. It will also promote the use of robots that can operate autonomously at construction sites to address labor shortages.

South Korea has unveiled plans for about $1tn (£760bn) of investments to build out the country's chip manufacturing and artificial intelligence (AI) capabilities in the coming years. It is part of the country's so-called Three Mega Projects to develop new chip production hubs, data centres and robotics technology. The plan is aimed at rejuvenating the economies of areas outside the capital Seoul, President Lee Jae-myung said on Monday. It comes as regional rivals like Taiwan, China and Japan are investing heavily in chip factories and other technologies as the AI boom pushes up demand for semiconductors. We must secure the core elements of AI faster than any other country, Lee said.

South Korean President Lee Jae Myung delivers a speech on June 25. SEOUL - South Korea is set to unveil three "mega-projects" to fuel its next growth phase, including a new semiconductor hub in the southwest that local media say could attract investments by Samsung and SK spanning hundreds of billions of dollars over several years. The announcement would mark President Lee Jae Myung's boldest push yet to align South Korea's AI and chip ambitions with his pledge to narrow regional disparities and revive economies beyond the Seoul metropolitan area. Lee will preside over the event, framed as a national "great leap" due to be unveiled around 2 p.m., his office said, with ministries covering industry, science, climate and transport set to outline policy support. Samsung Electronics and SK are expected to present investment plans, and their chairmen, Jay Y. Lee and Chey Tae-won, are among business leaders tipped to attend by local media. Representatives of other firms including LG Electronics, HD Hyundai Robotics, Korea Electric Power Corp. and Korea Water Resources Corp. are also attending, Lee's office said.

Russian President Vladimir Putin said on Sunday that Russia will press ahead with its battlefield aim of fully capturing four Ukrainian regions, rejecting what he said was a new proposal by Ukraine to rein in hostilities in the more than four-year-old war. Putin, speaking to a Russian state television interviewer, also said Russia needed to boost its air defense capacity to counter intensified Ukrainian drone attacks aimed mainly at its oil industry. He said Russia was coping well in tackling fuel supply problems linked to the Ukrainian strikes. He acknowledged earlier on Sunday at a meeting in the Kremlin with government ministers and other officials that the strikes had triggered fuel shortages in various Russian regions but that Russia was dealing with them. 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.

Inference-time scaling is a promising paradigm to improve generative models, especially when outputs must satisfy structural constraints or optimize downstream rewards. We consider Masked Diffusion Model (MDM) and introduce MDM-VGB, a discrete diffusion sampler that augments unmasking generation with theoretically principled reward-guided remasking. Inspired by the recent success of the classical Jerrum-Sinclair backtracking Markov chain in reward-tilted generation, MDM-VGB extends the backtracking random walk from a fixed prefix tree to a masked-state graph, allowing tokens to be unmasked and remasked at arbitrary positions. The resulting sampler favors unmasking and remasking moves that lead to higher-value partial configurations, enabling both effective high-reward generation and efficient repair of low-reward samples. We prove that MDM-VGB is robust to process-verifier noise and achieves quadratic complexity, while popular test-time heuristics such as best-of-$N$ can incur exponential complexity due to error accumulation. Our theoretical findings are corroborated by strong empirical performance, particularly on popular constraint-satisfaction and scientific benchmarks such as Sudoku and QM9.