Artificial intelligence (AI) has been used to find two previously undiscovered possible cave entrances on the Moon, which could support human survival on future space missions. Daniel Le Corre, a PhD researcher at the University of Kent, surveyed less than 0.3% of the lunar surface before finding the two pits. The South Marius Hills Pit, which the university said was previously overlooked by researchers, is in an area thought to be rich in lava tubes, while the Bel'kovich A Pit is close to the Moon's north pole and more likely to be a source of water. The pits were detected using an AI model that was trained to scan publicly available Nasa images and identify pits based on their distinctive shape. The AI model is named Essa, which is short for entrances to sub-surface areas and a nod to the Cornish name of Mr Le Corre's hometown, Saltash.

A generic D-dimensional Gaussian can be conditioned or projected onto the D-1 unit sphere, thereby leading to the well-known Fisher-Bingham (FB) or Angular Gaussian (AG) distribution families, respectively. These are some of the most fundamental distributions on the sphere, yet cannot straightforwardly be written as a normalizing flow except in two special cases: the von-Mises Fisher in D=3 and the central angular Gaussian in any D. In this paper, we describe how to generalize these special cases to a family of normalizing flows that behave similarly to the full FB or AG family in any D. We call them "zoom-linear-project" (ZLP)-Fisher flows. Unlike a normal Fisher-Bingham distribution, their composition allows to gradually add complexity as needed. Furthermore, they can naturally handle conditional density estimation with target distributions that vary by orders of magnitude in scale - a setting that is important in astronomical applications but that existing flows often struggle with. A particularly useful member of the new family is the Kent analogue that can cheaply upgrade any flow in this situation to yield better performance.

Autoregressive inference in large transformer-based language models (LLMs) presents significant challenges for runtime efficiency, particularly during the decode phase where load imbalance across GPU shards can cause throughput degradation and latency spikes. A DPU-assisted framework leveraged by BlueField-3 Data Processing Units can enable real-time detection and mitigation of load imbalance in multi-node tensor-parallel inference. By offloading monitoring tasks to the DPU and analyzing GPU telemetry and inter-node communication patterns, the resulting system can provide actionable feedback to inference controllers and schedulers. The goal of this study is three-fold i) identify the reported skews/imbalances/pathological conditions that arise in muti-GPU execution of a) LLM tensor computing (both during training and inference), b) identify their impact on computational performance, and c) make a critical assessment if those can be tracked for potential mitigation from a DPU network.

Trump claims Biden administration investigation into Turning Point tried to force Charlie Kirk'out of business' Dem-run city's iconic mall teeters on collapse as 93% of stores vacant after crime-wave causes stores to flee Extraordinary measures jail put in motion to keep Charlie Kirk assassin suspect alive: 'It's severe' Texas AG's mistress' shock new life after sex scandal was exposed Airbnb guest says he was'shaken down' for $10K after selfie inside California's viral'Invisible House' Astonishing moment Charlie Kirk's wife Erika loses Miss USA pageant to pro-trans rival... as Trump watches on Christian Brueckner walks free: Madeleine McCann chief suspect leaves prison... with prosecutors fearing he will immediately flee the country and never be seen again Psychiatrist reveals bombshell'motive' for Charlie Kirk's assassination: 'Fits the profile' The raging jealousy that destroyed Nashville's hottest young couple: 'Up to no good' Air Force One jumbo carrying Donald Trump to Britain'is involved in close encounter mid-air drama with jet on same altitude ordered to change course by frantic air controllers' Charlie Kirk's final video message is released as top conservatives prepare to speak at his memorial this weekend Dancing with the Stars descends into CHAOS: Foul-mouthed backstage rants erupt over'trainwreck' celebs... as one star goes'missing' and ugly rape allegations resurface Rapper DaBaby ignites backlash with music video depicting slain Ukrainian refugee's fatal Charlotte stabbing in controversial reenactment'Give me a f***ing break': Searing response of Elon Musk's trans daughter Vivian to my questions about Charlie Kirk's assassination... in an interview that takes a tearful turn ABC News reporter Matt Gutman blasted for hailing'very touching' texts between Charlie Kirk suspect and trans lover Meet the'world's cutest sea monster': Scientists discover an adorable snailfish nearly 10,800ft underwater - as amazed viewers compare it to a Pokémon When you go this deep, you'd expect any sign of life to be pretty terrifying. So scientists were delighted to discover an adorable new species of snailfish thousands of feet below the ocean's surface. The large-eyed pink creature was first detected in 2019 by researchers who were exploring the seafloor off California using a remotely operated vehicle at a depth of 3,268m (10,722ft). They came across this individual, an adult female 9.2cm (3.6 inches) long, happily swimming along amongst the crushing pressure, frigid cold and perpetual darkness. New analysis now reveals this animal was a species previously unknown to science - and has been named the bumpy snailfish (Careproctus colliculi).

Charlie Kirk suspect Tyler Robinson makes stony-faced first court appearance as he's charged with capital murder: Live updates Texas AG's mistress' shock new life after sex scandal was exposed Astonishing moment Charlie Kirk's wife Erika loses Miss USA pageant to pro-trans rival... as Trump watches on Michael Keaton slammed for saying there was'irony' in Charlie Kirk's shooting Extraordinary measures jail put in motion to keep Charlie Kirk assassin suspect alive: 'It's severe' Dark truth about why Taylor Swift really hid behind that bulletproof screen at Travis Kelce's game Former TV anchor is arrested again after causing'serious injury' as his downward spiral continues AMANDA PLATELL: I'm so disgusted with myself for the cruel thing I said about Kate... I'm choking on my words now I know the truth. Hollywood heartthrob Robert Redford had to'protect himself' from lusting costars... but only had eyes for his wife Hallmark star Paula Shaw dead at 84: Tributes pour in for the beloved actress who'touched countless lives' Ivanka Trump's'inappropriate' demand that left Melania reeling on the last UK state visit... this time, insiders tell how the First Lady has triumphed over the'thorn in her side' The Mounjaro mums are out of control. First it was for weight loss, then it silenced booze cravings. Now there's another miracle'benefit' they won't shut up about - but I fear it will end in disaster Idyllic small town in Maine hit with largest HIV outbreak in state's history Amanda Seyfried faces furious backlash after resharing comments alluding to Charlie Kirk's death being expected Bargain-filled Nevada casino town is branded the'new Las Vegas' as tourists flock there instead of rip-off Sin City AI set to offer women'two for one' heart and breast screening Women could get'two for one' screening for breast cancer and heart problems using AI, a study suggests. The technology can be trained to examine mammograms images to detect both tumours as well as gauging the potential risk of heart attacks and stroke.

The enduring mystery about William Henry Gates III is this: how did a precocious and sometimes obnoxious kid evolve into a billionaire tech lord and then into an elder statesman and philanthropist? This book gives us only the first part of the story, tracing Gates's evolution from birth in 1955 to the founding of Microsoft in 1975. For the next part of the story, we will just have to wait for the sequel. In a way, the volume's title describes it well. In the era before machine learning and AI, when computer programs were exclusively written by humans, the term "source code" meant something.

Consumer research featured in the Residential Security Tracker reveals that in Q2 2022, nearly 40% of US internet households reported owning some security solution, such as a home security system, networked cameras, or a video doorbell. Seven percent of US internet households, approximately seven million households, own a network camera or video doorbell but no security system. "Together, these smart home products add to the market for security solutions, as millions of households find a camera solution is'safe enough' for their needs," said Jennifer Kent, Vice President, Research, Parks Associates. "The current market for residential security solutions is a mix of devices, systems, installation methods, and attached services that offer consumers more choice than ever before." In the firm's July 2022 survey, Parks Associates expanded its definition of home security services to better capture fee-based self-monitoring and video storage services.

Hard-to-detect cancers like glioblastoma can have survival rates in the single-digit percentages and require elaborate techniques to detect, treat, and monitor. Reveal Surgical is working on changing that reality through its new, AI-based Sentry technology, which leverages a combination of AI and Raman spectroscopy to provide real-time tissue diagnostics during surgery for otherwise-invisible tumors. Raman spectroscopy is the use of light scattering from a laser to detect molecular structures and compositions of a material--in this case, tissue. Chris Kent, CEO of Reveal Surgical, explained that the company uses Raman spectroscopy (which is an optical, non-invasive imaging technique) to "fingerprint" different types of tumors, allowing doctors to fingerprint a tissue sample and compare it to those on record via Reveal's software. "We've basically designed a cancer fingerprinting machine and a database of fingerprints in our system, via … Raman spectroscopy," Kent said. "We're able to offer doctors real-time molecular data about the tumor they're encountering in vivo."

Using AI, IBM Watson and hybrid cloud, IBM is expanding the real-time data insights available to fans of the US Open Tennis tournament so they can get even deeper, match-by-match details on their favorite players and rounds as the event unfolds. IBM has been working with the US Open and its host, the United States Tennis Association (USTA), for 30 years to help bring the matches to tennis fans. For 2021 the company has enhanced its digital offerings with new IBM Power Rankings that fans can use to see what the data is saying about players ahead of upcoming matches. Among the newly available insights are "Likelihood to Win," "Ones to Watch," and "Upset Alerts." In addition, the first-time US Open Fantasy Tennis experience was also launched on the USOpen.org

A team of scientists has developed a means to create a new type of memory, marking a notable breakthrough in the increasingly sophisticated field of artificial intelligence. "Quantum materials hold great promise for improving the capacities of today's computers," explains Andrew Kent, a New York University physicist and one of the senior investigators. "The work draws upon their properties in establishing a new structure for computation." The creation, designed in partnership with researchers from the University of California, San Diego (UCSD) and the University of Paris-Saclay, is reported in the Nature journal Scientific Reports. "Since conventional computing has reached its limits, new computational methods and devices are being developed," adds Ivan Schuller, a UCSD physicist and one of the paper's authors.