Obtaining reliable position estimation is fundamental for unmanned aerial vehicles during mission execution, especially in harsh environments. However, environmental interference and abrupt changes usually degrade measurement reliability, leading to estimation divergence. To address this, existing works explore adaptive adjustment of sensor confidence. Unfortunately, existing methods seldom include synchronous evaluation of estimation precision, thereby rendering adjustments sensitive to abnormal data and susceptible to divergence. To tackle this issue, we propose a ternary-channel adaptive evolving estimator equipped with an online error monitor, where the ternary channels, states, noise covariance matrices and especially aerial drag evolve simultaneously with the environment. Firstly, an augmented filter is employed to pre-process multidimensional data, followed by an inverse-Wishart smoother utilized to obtain posterior states and covariance matrices. Error propagation relation during estimation is analyzed, and hence, an indicator is devised for online monitoring estimation errors. Under this premise, several restrictions are applied to suppress potential divergence led by interference. Additionally, considering motion dynamics, the aerial drag matrix is reformulated based on updated states and covariance matrices. Finally, the observability, numerical sensitivity and arithmetic complexity of the proposed estimator are mathematically analyzed. Extensive experiments are conducted in both common and harsh environments (with average RMSE 0.17m and 0.39m respectively) to verify adaptability of algorithm and effectiveness of restriction design, which shows our method outperforms the state-of-the-art.

The Atacama Desert, located in South America, is one of the driest regions on Earth. Several types of endemic plants are still present at the site. After collecting several species that grow between 2,400 and 4,500 meters above sea level, scientists from INRAE, Purdue University and the Pontifical Catholic University of Santiago in Chile have been able to identify common molecular markers that allow an understanding of the mechanisms of these plants' resilience in the face of a harsh environment. The researchers used an innovative approach using artificial intelligence. The results of their work are detailed in review The new botany.

Addressing the growing Autonomous Vehicle (AV) market, Cheetah RAID is releasing a ruggedized, compact server designed to sit under a seat or in the trunk. The Cheetah RAID Prowler is powered by a 3.6GHz 8-core or 16-core processor, with up to 128GB memory and four NVMe drive bays housed in hot-swappable canisters supporting up to 120TB on the new Intel P5316 SSDs. Addressing the growing Autonomous Vehicle (AV) market, Cheetah RAID is releasing a ruggedized, compact server designed to sit under a seat or in the trunk. The Cheetah RAID Prowler is powered by a 3.6GHz 8-core or 16-core processor, with up to 128GB memory and four NVMe drive bays housed in hot-swappable canisters supporting up to 120TB on the new Intel P5316 SSDs. However, being a high-performance rugged server/JBOF, the Prowler can be used in applications that need to capture a lot of data at a high rate of speed in a harsh environment, including military and surveillance and Media/Entertainment. Prowler was designed explicitly for edge-data-capture use cases, such as autonomous vehicle research, surveillance monitoring, media and entertainment production, and Internet of Things (IoT) technologies. The Prowler is built to meet MIL-STD-810F, MIL-STD-810G, and MIL-STD-461F specs with the latest technology on the market today, including PCIe GEN4, MIL-spec grade locked down internal components, and tamper-proof features.

Amazon Go is the first store where no checkout is required. Customer simply enter the store using the Amazon Go app to browse and take the required products or items they want and then leave. Customer being able to purchase, products without suing a counter or checkout. The following video shows how Self-driving Robot (Delivery Bot and named as YAPE) brings goods directly to you, it uses Facial Recognition to recognize the customer to deliver. It makes delivery fast and easy, bot easily navigates sidewalks. YAPE has a 70 kg loading capacity and can travel 80km on a single charge.

Artificial Intelligence (AI) can be applied to a lot of industrial environments to save costs and to improve processes. This industrial Artificial Intelligence does not only include the smart algorithms and Big Data concepts that reside in the virtual space inside the computer systems, but it consists of the physical devices themselves too. Data has to be captured with sensors. Commands have to be sent to actuators and control systems. This whole chain and flow of information, wireless or via cables, goes through places with extreme conditions.

Rare drone footage has captured up to 800 whales frolicking and socialising in the endangered channel where they come to give birth. The beautiful belugas were filmed as they sought out the safety of Lancaster Sound which lies off the coast of Devon Island, in northern Canada. The mammals majestically swirl through estuaries to their temporary home, playing and socialising in groups with a vocal chirp that earned them the nickname'canaries of the sea'. They were filmed by Sea Legacy, who are campaigning to make Lancaster Sound into a marine protected area to save the surrounding, wondrous wildlife and environment. If successful it will prevent oil exploration, additional tanker traffic and development of the area.

Violence has been the sire of all the world's values," wrote poet Robinson Jeffers in 1940. "What but the wolf's tooth whittled so fine the fleet limbs of the antelope? What but fear winged the birds, and hunger jeweled with such eyes the great goshawk's head?" We've taken these metaphors for evolution to heart, reading them to mean that life is a race to kill or be killed. "Darwinian" stands in for "cutthroat," "survival of the fittest" signifies survival of the ruthless.