RSS feed source: Volcano Discovery.com--Global earthquake monitor

Date and TimeMag
DepthDistanceLocationDetailsMap Sep 24, 02:25 pm (GMT +4:30)

4.3

10 km41 km (25 mi) to the NW 6 km WNW of Dasht-E Archī, Afghanistan 1 reportInfoSep 24, 02:32 pm (Dushanbe)

4.5

10 km38 km (23 mi) to the N 10 km NE of Dasht-E Archī, Afghanistan InfoAug 18, 11:11 pm (GMT +4:30)

4.6

10 km42 km (26 mi) to the NE 23 km west of Rustaq, Takhar, Afghanistan 1 reportInfoAug 6, 01:24 pm (GMT +4:30)

4.1

211 km92 km (57 mi) to the SE Hindu Kush Region, Afghanistan InfoJul 28, 01:24 pm (GMT +4:30)

4.2

221 km76 km (47 mi) to the SE 22 km E of Farkhār, Afghanistan InfoSep 30, 2021 05:34 pm (GMT +4:30)

5.3

245 km91 km (56 mi) to the E Hindu Kush Region, Afghanistan InfoMay 14, 2021 02:53 pm (Dushanbe)

5.2

10 km56 km (35 mi) to the N AFGHANISTAN-TAJIKISTAN BORDER REGION 1 reportInfoAug 8, 2019 05:15 am (GMT +4:30)

5.8

226 km81 km (51 mi) to the SE Hindu Kush Region, Afghanistan 151 reportsInfoJan 27, 2016 03:49 am (GMT +4:30)

5.2

317 km54 km (34 mi) to the E Hindu Kush Region, Afghanistan 48 reportsInfoOct 26, 2015 01:39 pm (GMT +4:30)

7.5

207 km145 km (90 mi) to the E 77 km southeast of Fayzabad, Badakhshan, Afghanistan InfoSep 28, 2014 03:19 am (GMT +4:30)

5.2

29 km78 km (49 mi) to the SE Hindu Kush Region, Afghanistan 3 reportsInfoSep 8, 2013 10:00 pm (GMT +4:30)

5.2

212 km79 km (49 mi) to the SE 25 km ESE of Farkh?r, Afghanistan InfoJan 22, 2013 07:39 pm (GMT +4:30)

5.2

52 km74 km (46 mi) to the SW 26 km NNE of Baghl?n, Afghanistan 1 reportInfoSep 25, 2012 01:03 pm (GMT +4:30)

5.2

30 km66 km

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Synopsis

Machine Learning and Artificial Intelligence (AI) are enabling extraordinary scientific breakthroughs in fields ranging from protein folding, natural language processing, drug synthesis, and recommender systems to the discovery of novel engineering materials and products. These achievements lie at the confluence of mathematics, statistics, engineering and computer science, yet a clear explanation of the remarkable power and also the limitations of such AI systems has eluded scientists from all disciplines. Critical foundational gaps remain that, if not properly addressed, will soon limit advances in machine learning, curbing progress in artificial intelligence. It appears increasingly unlikely that these critical gaps can be surmounted with increased computational power and experimentation alone. Deeper mathematical understanding is essential to ensuring that AI can be harnessed to meet the future needs of society and enable broad scientific discovery, while forestalling the unintended consequences of a disruptive technology.  

The National

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Synopsis

The Mathematical Biology Program supports research in all areas of mathematical sciences with relevance to the biological sciences. Successful proposals must demonstrate mathematical innovation, biological relevance and significance, and strong integration between mathematics and biology.

Some projects of interest to the Mathematical Biology Program may include development of mathematical theories, methodologies, and tools traditionally seen in other disciplinary programs within the Division of Mathematical Sciences. In general, if a proposal is appropriate for review by more than one NSF program, it is advisable to contact the program officers handling each program to determine when and where the proposal should be submitted and to facilitate the review process.

The Mathematical Biology Program regularly seeks joint reviews of proposals with programs in the Directorates of Biological Sciences and other relevant programs. Investigators are encouraged to discuss their project with program officers in relevant areas to

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