The April 16 attack was claimed by Tehreek-e-Taliban Pakistan (TTP), commonly known as the Pakistan Taliban, and its fighters then opened fire from all sides of the Sarki Piyala police checkpost in Hangu district, about 30km (18 miles) from the border with Afghanistan and a hotbed of deadly attacks by armed groups, mainly the TTP. "There was a great deal of fear because we were in the middle of a battle. At that moment, we did not even know whether we would make it back home alive," Khan told Al Jazeera. To defend against such attacks, the police in Hangu came up with an unlikely, low-cost solution - fishing nets strung several metres overhead between the checkpost's rooftops and perimeter walls, forming a kind of aerial ceiling. Simple in construction and resembling what fishermen use for their work, the netting was first installed two months ago, according to the local police.

'This is an apartheid regime' Does Trump have real leverage over Netanyahu? As the world wrestles with the ethical implications of artificial intelligence and the dangers of removing humans from life-altering decisions, Israel has pressed ahead with deploying AI as part of its military arsenal. In Gaza, AI systems have been used to determine potential bomb targets, contributing to the scale of the killing of Palestinians there as recently documented in the award-winning documentary NAZA . The Turkish media outlet PalDigital, citing rights activists and Israeli media reports, highlighted how Israel uses AI tools - and specifically a product called ImiSight developed by the Israeli weapons manufacturer Rafael - to monitor vast swathes of land and observe changes that can then be used as justifications for demolitions. The tool was initially used by Israel in the Naqab desert, targeting Bedouin Palestinian citizens of Israel, PalDigital reported in July.

Anomaly troubleshooting for large model distributed inference (LMDI) remains a critical challenge. Resolving anomalies such as inference performance degradation or latency jitter in distributed system demands significant manual efforts from domain experts, resulting in extremely time-consuming diagnosis processes with relatively low accuracy. In this paper, we introduce Kunlun Anomaly Troubleshooter (KAT), the first anomaly troubleshooting framework tailored for LMDI. KAT addresses this problem through two core innovations. First, KAT exploits the synchronicity and consistency of GPU workers, innovatively leverages function trace data to precisely detect kernel-level anomalies and associated hardware components at nanosecond resolution. Second, KAT integrates these detection results into a domain-adapted LLM, delivering systematic causal reasoning and natural language interpretation of complex anomaly symptoms. Evaluations conducted in Alibaba Cloud Service production environment indicate that KAT achieves over 0.884 precision and 0.936 recall in anomaly detection, providing detail anomaly insights that significantly narrow down the diagnostic scope and improve both the efficiency and success rate of troubleshooting.

OpenAI announced today it has hired three senior computer vision and machine learning engineers from rival Google DeepMind, all of whom will work in a newly opened OpenAI office in Zurich, Switzerland. OpenAI executives told staff in an internal memo on Tuesday that Lucas Beyer, Alexander Kolesnikov, and Xiaohua Zhai will be joining the company to work on multimodal AI, artificial intelligence models capable of performing tasks in different mediums ranging from images to audio. OpenAI has long been at the forefront of multimodal AI and released the first version of its text-to-image platform Dall-E in 2021. Its flagship chatbot ChatGPT, however, was initially only capable of interacting with text inputs. The company later added voice and image features as multimodal functionality became an increasingly important part of its product line and AI research.

The United States military announced on Sunday that three US soldiers were killed and at least 34 were wounded in a drone attack targeting Tower 22, a remote logistics outpost near the Jordan-Syrian border. The attack has elicited a strong reaction from Washington with President Joe Biden pledging to hold the attackers to account. The Islamic Resistance in Iraq, an umbrella group of Iran-backed armed groups in the region, claimed the attacks, saying it was in response to US support to Israel's war on Gaza, which has killed more than 26,000 people. Tower 22, which houses a small US logistics outpost, is located in Jordan's northeast close to the borders with Iraq and Syria. Public information about the outpost is limited.

The news: OpenAI has launched two new ways to interact with its flagship large language model in a major update. You can have a spoken conversation with the chatbot as if you were making a call, and it's also able to answer questions about images. How it works: The ability to talk to ChatGPT draws on two separate models. Whisper, OpenAI's existing speech-to-text model, converts what you say into text, which is then fed to the chatbot. And a new text-to-speech model converts ChatGPT's responses into spoken words.

Fox News Flash top headlines are here. Check out what's clicking on Foxnews.com. Three one-way drones, sometimes called "kamikaze" drones, targeted a U.S. garrison at an outpost in Syria's Al-Tanf region U.S. Central Command said Friday, noting that no Americans were injured in the attack. Two members of the Syrian Free Army received medical attention after they were injured in the strike when one of the drones hit the compound. The other two drones were shot down by Coalition Forces, the U.S. military confirmed.

Amid battling China's aggression tactics, Taiwan has decided to ramp up its air defense by setting up locally-made "Bee Eye" radar systems on the outposts of Dongyin and Quemoy. The radars will also be installed at the disputed Pratas and Spratly archipelagos in the South China Sea. The decision to bring in a new defense system next year comes after several low-flying objects from China began posing a threat to the island's security over the last few months, reported South China Morning Post. While such low-flying aircraft and drones are difficult to detect in an ordinary system, the Bee Eye has electronically-scanned array radars that help eliminate the blind spot. At present, Taiwan uses Lockheed Martin portable search and target acquisition radars (PSTAR) on those islands.

A new startup run by a former acting NASA administrator hopes to capitalize on the recent zeal for lunar space exploration by building robotic outposts and spacecraft to send to space near the Moon. Their goal is to create a fleet of robotic helpers that can do a variety of tasks near the Moon, such as providing internet capabilities, collecting data, refueling spacecraft, and assembling structures in lunar space. The company called Quantum Space was formed in 2021. At the helm is Steve Jurczyk, who served as NASA's associate administrator beginning in 2018, before becoming the agency's acting administrator when President Biden was inaugurated. After retiring in May, Jurczyk decided to team up with three additional entrepreneurs and experts in the space industry to create this new company based out of Maryland.

As customers continue to come up with new use-cases for machine learning, data gravity is as important as ever. Where latency and network connectivity is not an issue, generating data in one location (such as a manufacturing facility) and sending it to the cloud for inference is acceptable for some use-cases. With other critical use-cases, such as fraud detection for financial transactions, product quality in manufacturing, or analyzing video surveillance in real-time, customers are faced with the challenges that come with having to move that data to the cloud first. One of the challenges customers are facing with performing inference in the cloud is the lack of real-time inference and/or security requirements preventing user data to be sent or stored in the cloud. Tens of thousands of customers use Amazon SageMaker to accelerate their Machine Learning (ML) journey by helping data scientists and developers to prepare, build, train, and deploy machine learning models quickly.